Our conference is over, but the momentum lives on.
If you missed it or want to revisit your favorite keynotes, customer spotlights, tactical sessions, or live demos—we’ve got it all for you. Because Resilient Trust isn’t a moment. It’s a mindset.
Continue fortifying identity in uncertain times.
Our annual conference may be over, but the momentum lives on. If you couldn’t make it or just want to revisit your favorite moments, we’ve compiled the best of the event for you. Bold keynotes, customer spotlights, tactical sessions, live demos—it’s all here. Because Resilient Trust isn’t a moment. It’s a mindset.
Replay the Keynotes
Big ideas. Bigger impact. Rewatch the executive sessions that set the tone for the future of identity:
Andre Durand, CEO
Resilient Trust Begins With All of Us
Identity leaders are becoming the guardians of authenticity in an AI-saturated world.
Peter Barker, Chief Product Officer
The Architecture of Resilient Trust
A practical roadmap for building verified trust into every layer of your digital experiences.
Replay the Keynotes
Big ideas. Bigger impact. Rewatch the executive sessions that set the tone for the future of identity:
Andre Durand, CEO
Resilient Trust Begins With All of Us
Identity leaders are becoming the guardians of authenticity in an AI-saturated world.
Peter Barker, Chief Product Officer
The Architecture of Resilient Trust
A practical roadmap for building verified trust into every layer of your digital experiences.
Explore Our Content Hub
From AI threats to fraud prevention to CX, build on what you learned (or missed) at Ping YOUniverse.
Step Inside the Trust Lab
See how Ping and our partners are pushing identity into tomorrow. Watch demos about agentic AI, real-time verification, secure guest access, next-gen fraud prevention, and more.
Deepfakes and Ping SDKs
CIAM
Workforce & B2B
Identity Changes Fast. Stay Involved.
From other events near you to upcoming webinars and more, we hope you’ll join us!
Webinar | Ping YOUniverse Insights:
Building Resilient Trust in the Age of AI
And we've got the Chief Product Officer from Ping Identity.
Sydney makes a noise.
Peter Barker.
All right, good morning.
Uh, I'm really looking forward to today's presentation, uh, Following Andre, of course, this morning and the great team at Spark who gave us a great Presentation that I think is just so relevant to some of the things I'll be talking about in My presentation as well, just made it really, really, really real.
So we heard from Andre this morning, there’s more complexity, More vendors, more attacks, and ultimately more identities.
And the role of Identity is more essential than ever today.
And when we think about this resilient trust and how we're going to get there, I mean, how do we get there?
So I'm gonna double-click a little bit into two specific topics.
You know, André mentioned this morning just because there are so many different things in This world of identity that we could be talking about, it's really impossible to get to all of It.
But I'm gonna talk about two things.
Specifically that I think are really important for us to, Uh, to consider how rapidly this Identity industry is, Oh, like about to fall over.
Um, how rapidly this industry is evolving and how quickly it's changing.
So deepfakes and the Agentic Era.
Starting with deepfakes, we'll just take a look a little bit at our friend Mr.
Sam Altman, CEO of OpenAI, and when he's saying he's seeing an impending significant fraud crisis while at the same time SIM simultaneously creating the crisis, You know, I think we have a problem.
Houston, we have a problem, and there comes our strategy and our vision around verified Trust, and as I mentioned a moment ago, the team at Spark who presented what they're doing, I think you saw a lot of verification showing up into there.
Customer experience, whether it was the customer in the store who was identifying themselves from the MobileIron app or whether it was Spark calling the customer, Both ways we had verification going on and were involved in those flows, And I think it really highlights the importance that.
Verification has to become infused in every identity interaction.
It's no longer something reserved simply for initial onboarding to do strong Verification and binding to the digital account.
So if we look at the Verified Trust Innovation at Ping Identity, And we look back in the history, Ping really got started as an identity security company, Introducing products like single sign-on MFA Access, Directory.
And that followed with identity fraud capabilities with PingOne Protect and authorize, And that followed with identity assurance, with things like Verify.
And then additional products started to come into the mix, like orchestration, which really cut across all of those swim lanes, credentials similarly, the ForgeRock merger, and now today we just announced just in time privileged access as Well.
But what's interesting about this is those 3 Swim lanes across the top.
Security fraud verification.
Historically, the identity industry is kind of focused on identity security, and that's a lot of how we've talked, But fraud, and verification or assurance are equally as important.
So going back to the dimensions of unification or convergence, So we, Andre, talked about the convergence or unification of Workforce, Customer, partner, and now agents on one dimension of unification.
On the second dimension, we've got privilege, access, and governance.
Those are really, if you think about it, really all about identity security.
But there is a third dimension of unification and convergence that we're concerned about, which is really bringing these three worlds together identity security, Identity fraud, and identity assurance, because all three of these pillars now.
Are so important not just to deploy independently but to start thinking about them Together when you're delivering on ultimate your identity experiences to your users and Therein lies the opportunity to bring a concept we call Verified Trust.
So let me expand what I mean by verified trust in a little more technical detail.
So going from basically Authentication to Verified Trust, If we think about the current paradigm of identity today, It's one of implicit trust.
And what I mean by that is the user is Authenticating to an account.
And by virtue of that authentication, the service is trusting that the user is who they Say they are.
But we understand that we can no longer trust Our eyes and ears in this world today, that having just the authentication is not strong Enough.
We need verified authentication, and so That's where the model needs to evolve.
It's going from one of implicit trust to one of Explicit trust, where we flip the model on the head, and it's not just about.
User to service trust, but service to user verifying that the human is who they are.
It's no longer just about authentication and authorization, but it's about verified Authentication, verified authorization, and we can take it a step further as well to peer to Peer verification as well.
It's not just service to user, But also when you're working with your colleagues in remote work locations and you’ve Got your CFO asking you to write a check to a vendor in a big amount of dollars.
You may want to verify that the CFO is actually who they say they are instead A deepfake trying to defraud your company of money as an example.
And there's a lot of use cases here that we look at from Verified Trust perspective.
Account onboarding, uh, account opening and onboarding.
So this is both the Yam flavor of.
Opening an account, but also the onboarding journey of employees into an enterprise Verified Access, so every time somebody is authenticating.
Uh, to a service or to a resource that it's not just the authentication, But there's verification involved as well, Verified account recovery and reset.
So when people are calling into the help desk on one hand or calling into your customer Service Department on the other to get help with their account.
Uh, the verified Peer case that we talked and also verified authorization.
When you're doing things like signing a transaction to transfer funds between accounts, You wanna make sure that the person who's actually signing that transaction is who they Say they are.
And so, the implications of this are that again Verification is becoming hugely important to how identity needs to work today.
But at the same time, if you think about the user experience of identity verification today, It's pretty much take a photo of the front and back of some valid government ID or credential.
Take a selfie.
Wait for the process to check.
Maybe you have to answer some knowledge questions as part of that process to prove who You are.
It's a good process, right, to really establish A strong verification of the human, but the problem is it's quite expensive.
It's expensive from a user experience standpoint because it takes minutes to do this Process, not seconds, not milliseconds, and it's also expensive transactionally when you’re Paying a partner like Ping to do these things.
It costs a lot of money versus the cost of Authentication.
And so it's incumbent on us at Ping Identity to Deliver a solution where we can make verification as affordable as authentication.
And so that brings us to some design principles around verified trust that we're thinking about As we bring this, because maybe the initial process of verifying the human is going to be A heavyweight process.
You want to really, Really strongly verify and bind that person to their account and to their identity.
But every ongoing verification step, which I would actually say is just re-verification of The ID of the person that needs to be really fast and cheap.
So fast and cheap and so frictionless to the user that you're willing to deploy it in every Identity moment, not just in the high-risk key risk moments of the journey.
And so that means we want to bring low assurance to high assurance in milliseconds, Not minutes.
We want it to be privacy-preserving and Standards-based because one of the key enabling technologies that we see to do re-verification Of identity is biometrics.
And when you talk about biometrics, it's often, you know, A word that makes people kind of sit back a little bit because of concern about maybe your Legal department and privacy concerns.
But at Ping, as we're looking to introduce this capability, we're very strongly focused on Making sure that anything we do in the world of biometrics.
Is not just privacy-preserving but privacy compliant and also doesn’t put your business at Risk around the concept of biometrics.
We want to infuse it in every single identity interaction.
We want the UX to be frictionless and invisible to the users, and then, As I said, low cost of ownership.
And so at Ping, our strategy is to bring this concept of verified trust and have it be embodied in our PingID mobile application experience, which today is basically an Authenticator if you think about it.
And we want to bring even more into the PingID application as well as the Ping SDKs and so that you can bring the same capability into your MobileIron applications, into your web apps if you're not deploying Ping ID.
So PingOne ID becomes more than just an MFA app.
Uh, you may know already today we've integrated our identity verification product Verify.
We've introduced, uh, we've integrated our Credentials product into the PingID app.
We're going to bring PingOne Protect signals and we're going to importantly make sure that we.
Infuse the experience to be more seamless, as opposed to each of these things like MFA A distinct step or verification being a distinct step.
We want integrated experiences so that you start to see, um, an experience that is more seamless to the user that's bringing those concepts together and I, Um, I think I had some screenshots.
I may have deleted them because I was about to Show you a preview of what it looked like, but nonetheless, let me take you through a few Roadmap slides about these concepts.
So, we talked about identity verification.
Uh, we talked about our protection signals.
We talked about credentials.
So some things that we're focused on bringing to market in these key services that we're Going to bring together into Ping ID.
Uh, first is to introduce IP, email, and phone intelligence into the verification service as well, so we can ensure that that signal, That that reputation of the device, the email is really quality as you're verifying the human.
We're also going to be introducing global database checks today as well so that the Verified product can be used in more jurisdictions globally and then also global Watch list checks as well to ensure that the people who may be signing up for your service aren't on a watch list as well.
In our PingOne Protect roadmap, and Protect is our great product that helps bring signals around Fraud and risk into your user journeys, it also helps improve the user experience.
For example, because it reduces the amount of times that a user may need to authenticate or Do things like strong multi-factor authentication as well.
Um, several things we're focused on.
First, AI agents detection.
So in André's presentation and later in my presentation, I'm gonna talk more about AI Agents.
One of the key things we need to ensure that We can do is detect the good from the bad, because ultimately you want to allow the good Agents in, and you still want.
Block the bad agents.
And so we're doing a lot of research now into introducing this into our PingOne Protect So that you can start to filter that traffic into your user journeys or block.
In fact, we're targeting trying to get a beta done in Q4 and released sometime in the first Half of next year.
We're also going to be introducing more advanced signals into the PingOne Protect product to Protect against new account fraud and account takeover.
So things that we're going to do here is really start to leverage Graph-based connections Across devices, users, networks so that we can start to see new connections that we previously Could not see in the PingOne Protect product that it is going to give you more against those things.
And then of course AI is central to how we're Actually seeing those signals emerge in the data.
And then we're also focused on time to value ease of use, So we're going to have more simplified setup out of the box protection delivered to you from The product, so you don't have to necessarily be an expert on how to tune the signals to get The value that you're looking for.
And then finally on our credentials, which is ours, you can think of it as our decentralized Identity capability, uh, we heard, we heard again the Spark team talk about Matter, which is their subsidiary that deals with these concepts.
This is really relevant to government ID schemes like in Europe for EIDA or Driver, You know, um, digital driver's licenses, things like this.
So, uh, later this year, we're going to be allowed to be issued in our Credentials to be issued into third-party wallets leveraging standards.
We also want to be able to again leverage standards to do verification from Platform-based wallets and then delegation so that the issuer approved Options to enable other humans or AI assistants are allowed to take actions on the user's behalf.
So a great roadmap on these 3 products that are Kind of continuing to evolve, while simultaneously we're gonna start bringing the Experience from the end-user perspective together with verified trust.
So.
The road to verified trust, so bringing those Those capabilities together, uh, from a roadmap perspective, we are targeting in Q1 26 to Introduce an integrated onboarding experience and access experience that infuses verification Into it.
For Q2, we're looking at verified account Recovery and Reset, and then finally verified Peer to peer in the second half of next year.
So again, it's taking some existing products, but delivering an entirely more secure and Convenient and frictionless user experience via the PingID mobile app as well as the SDKs.
So that's our strategy around verified trust, which is really bringing verification to the Next level of importance and making it infused in every identity moment.
So I'm gonna switch gears.
I'm gonna talk about agents.
Agents is going to be a key topic today.
Just curious, Show of hands, how many of you walked in today hoping to learn more about Agents?
Has this been on your mind?
Yes, it's like it's hard to avoid at this point, and you know what's crazy about it is how fast It's moving.
I, I just, you know, as I reflect about my Personal time in this industry, I've just never seen a moment like an inflection moment where Several things are happening all at once, whether it's things like the threat of AI with Deep fake fakes on one hand.
The potential of AI with AI agents and what that represents to the world, It's just, it's incredible how fast it's moving.
So again we return to Mr.
Altman and you know, Again, the person bringing this opportunity to us is warning us against the risks and saying, Really recommend you.
Be careful with these things.
And we agree 100%.
Let's be really careful because it's hard to Predict what's gonna happen if we don't take it very, very seriously.
Um, Andre explained these concepts.
There's two ways we think about AI when it Comes to identity.
One is providing identity for AI.
The other is using AI in identity or AI for identity.
So I'm going to talk about both of these because we are focused on both of these topics at Ping Identity.
We're leveraging the one on the right in the Gray box, AI for identity.
We're leveraging our Helix Platform to provide AI features in our products, and then of course we're going to be leveraging our very powerful Platform to provide identity for AI.
So when I think about identity for AI and what are the things that we need to deliver from a Feature function perspective, you're going to see some very familiar words Identify, Recognize, onboard, register, authenticate, Authorize, life cycle, Manage, govern, monitor.
Sounds really familiar.
Because it is, in fact, AI agents, when you think about AI agents, They're in our mind, just another identity type, just like a workforce identity or an employee identity, just like a customer identity, just like a partner identity.
It's just another type of identity that we need to manage.
And so the same principles we've used historically for human identity are actually Going to apply here to agents and non-human identity.
So the same functionality is required for that.
If I switch gears and go to the other side of the slide, When we talk about AI for identity, this is where we're leveraging our Helix platform.
It's a different set of concerns that we need to be concerned about.
One is we need to facilitate things like agentic workflows.
How do you orchestrate.
A request from a user to understand intent, reason about that, And orchestrate a response that can deliver on the outcome that the user is looking for.
How can we do that in a way that's low-code, no code, and developer friendly?
How do we ensure privacy and safety in those interactions so that we're not either taking in Data that we shouldn't, nor letting data that shouldn't go out of the AI also be there?
How do we allow customers, regardless of your deployment model, Whether you happen to use Ping SAS services or you're deploying Ping software in your own Environments, how do we allow you to consume the power of AI no matter what your deployment Model is, and then also making sure we're future ready.
And it's kind of, you know, the idea of future ready right now is pretty intense because Things are moving so fast, it's crazy.
So this is our Helix platform here, this functionality, and the one thing I'll say about Helix is Ping Identity, our developers, our engineers who build the products that you all Use, we are going to be customer number one of Helix because we are leveraging Helix to Build.
The AI features that we're going to deliver Into the products.
So the demo that André showed earlier today was showing an AI-assisted administration Experience where you could type into a chatbot and, uh, have it assist you in doing Various things in the Admin-UI.
Well, imagine taking that to another step.
And again leveraging the power of Gen AI and.
Imagine you've got, for example, a help desk community or a customer service community that You want to enable to on a delegated basis do certain sensitive actions like maybe reset An account or maybe allow MFA to be bypassed for a moment in time without needing a really Expensive administrative resource to do that and enabling your Help Desk.
But how do you ensure that a large group of folks who may not be skilled in the Platform Can actually take such an action?
So I'm gonna show you a demo.
Of something we did at a hackathon recently where we fused several concepts.
We fused the concept of a chat interface on the right.
We added some voice to it, and we're gonna show an example workflow.
So it's gonna refer to a workflow where it's going to use an MFA, an MFA bypass for an Individual user, but this is an assisted process to somebody who may not be skilled in The platform.
So you're going to hear two voices.
One will be the first will be the AI, and the second is the person interacting with the AI.
Let's take a look.
I've successfully started the workflow to Temporarily bypass MFA.
Please specify the user you'd like to select.
I would like to select John Doe.
Let's proceed to see how to allow MFA bypass for this user.
Let me know when you're ready for the next step.
I'm ready.
I'll now navigate to the Services tab and open the Authentication section.
Where you'll see the MFA status for this user.
Please let me know when you're ready to proceed.
I'm ready to proceed.
As you can see, the user has MFA enabled.
You can see the MFA bypass option here.
Please let me know if you are ready to proceed.
To the next step.
OK, we can go ahead with our MFA bypass.
You can see the time duration for which the MFA bypass will be active.
I would like to remind you that disabling MFA for a user is a security risk and should only Be done in emergency situations.
This brings us to the end of this workflow.
So, as you can tell by that example, this was a defined workflow that you've defined, maybe for A help desk person to help end users with to bypass MFA, and you can imagine all the types of Different workflows you might be able to enable so that you could have a voice assistant Experience doesn't have to be.
Voice in this case.
Voice was the medium that was used.
I mean, it could be just in a chat UI as Well, but you can see what the power is because this this example not only was explaining to The user how to do or what it was going to do, but also took them through the UI Simultaneously to get the task completed.
So it's pretty exciting about what, what we can do there.
So that, that was AI for Identity, and we've got a lot of rich features coming out in this, And I have a roadmap slide to come here in a bit.
So I'll share more about what's coming as it relates to AI features in the Ping products that we're gonna be bringing to market.
But now I'm gonna go back to that other side of the slide, The left-hand side of the slide, and I'm gonna talk about identity for AI.
So we're really talking about AI agents, and we'll return again to Mr.
Altman.
Lots of upside, lots of downside.
I don't know how else to say it, but at Ping Identity, fortunately, Or fortuitously, I mean, I don't, I don't profess that we always have a crystal ball, But we have been investing in this area for quite some time.
There are two concepts we've been investing in as a company for various reasons that are Coming together to deliver on the promise of what AI agents are doing.
So we've had, in effect, we've had a head start on this problem for quite some time.
On one hand, we've been working on non-human identity, whether that's delivering identity for things like IoT.
So we have, for example, at Ping Identity, many of the large global car manufacturers are Customers of Ping Identity.
Every one of those cars has an identity.
Because you need to know that the car who's connecting to the data center to send telemetry Is an authenticated vehicle.
That's an example, or doing a more workforce use case like discovering Service Accounts in Our governance product.
But we've been innovating in this concept of non-human Identity for a while.
And AI agents, just another flavor of non-human identity at the end of the day.
Simultaneously, we've been working on something else as well, And this has been this major trend since both of these around 2019.
The concept of OpenBanking.
Open APIs with things like delegated consent.
And fine-grained authorization.
Using identity standards like SEBA, Client Initiated back-channel authentication.
Uh, OA, uh, PAR and RA standards as well, uh, and a model of trust that supports a Multi-party trust relationship.
In this case, When it comes to OpenBanking, you're talking about a consumer, their FinTech solution, and their bank, and having a very rich set of authorization Relationships or trust model for that multi-party relationship.
Well, think about AI agents.
AI agents are not real, Real different than.
Basically a mini FinTech on your desktop as a consumer.
So you need the same concept of the user, this third-party FinTech, which is the Agent and your Service Provider, be it your bank, Your insurance company, whatever it may be.
And this has been pervasive throughout the world in places like the UK, Here in Australia with Consumer Data Right and other places as well.
Those things are merging together.
These two concepts are merging together to secure the agentic future.
So it's on one hand, providing identity for agents, but on the other hand, It's providing what I call trust for humanity.
Not just trust for people, Trust for Humans, but literally, I, I use the word humanity here because I think about the risk we face with this new technology and how fast it's evolving.
And how important it is to have both sides of this at the same time, Having that security and enablement of the AI agents, but keeping, Importantly, keeping that human in the loop with user authorization with those two Converged concepts that we were talking about earlier.
The other thing I think about when I think about agents, I think about two sides of a coin here.
On one side, I think everyone's thinking about the risk.
So, as I said, agents are just another form of NHI that needs to be secured against the Risks that it poses.
But on the flip side, it also really represents An amazing opportunity.
And if you think about AI agents, they are actually another channel of commerce.
If you think about bricks and mortar, going to web, going to mobile, Agents are just yet another channel that's emerging, a pretty exciting channel because It's a really smart channel.
And just think about your next multi-million dollar customer might actually be an agent Acting on behalf of a user.
So it's kind of mind-blowing to think about that that is the reality we may be entering into.
And so if we think about the.
Implications of this.
So on the Commerce side, it certainly is a new channel, as we talked about.
What does that mean?
Well, it means what does customer relationship Management in the world of Agents even mean?
Like, what is your relationship with an Agent versus the relationship with the End Consumer Who's using the agent to interact with your service?
And that implies things like, well, how do we track these agents?
How do we deliver a customer experience for agents that are being initiated by users, And then importantly, keeping the human in the loop.
And then, of course, on the risk side, some of the things, The traditional models of identity, it's a new type of identity, NHI type, needs human ownership, it needs oversight and governance, It needs authorization.
And at Ping Identity, our approach is simple.
It's not just to secure Agents, but it's also to make sure you can enable them.
How do you embrace this new challenge while securing it?
How do you improve the user experience?
How do you ultimately drive more value for your business by embracing this?
And there are 3 types of agents that we think about, and the analogy I would encourage you to Think about is in the world of human identity.
So on one hand you've got your consumers, consumer customers.
On the other hand, you have your employees and your workforce, And then you have something in the middle, which is your frontline workers.
That those are the three distinct types of identity in the human world that we deal with, And in agents, it's no different.
You've got the personal agents that your consumer customers are bringing to your front Door.
You've got the Autonomous digital workers who Are working in your back office, and then you have the ones who are on the front line serving Your customers, the digital assistants.
These are things like chatbots on your website.
And the two on the right, those are managed.
And what I mean by managed is your enterprise is managing these Agent types.
You're having to identify them, you're having to life cycle manage, You're having to assign human ownership.
You're having to do things like govern them, Audit them, but the personal agents are kind of like the Wild West.
You don't control what Agents your customers are going to bring through your front door, Kind of like you don't control what Mobile device they're going to use or which browser or Which operating system.
That's the reality of what we're facing here.
And so earlier Andre showed some slides talking about trust boundaries of these three different Models, and this is a slightly different take to show the flows that are involved here.
So, of course, in the case of a personal agent, this is the one where your consumer customer is Bringing agents to your front door.
They are interacting with the agent, and then trust is being established between the agent and the enterprise and interfacing with things like MCP model contacts protocol, and agent to agent as well.
At Ping Identity, we have rich solutions to help enable and secure this with ease Providing user identity, which is our bread and butter today.
Dealing with things like agent registration and authorization.
So when you have this anonymous untrusted agent coming through your front door, What do you do with it?
Well, at some point in the journey, that agent's gonna ask you for something valuable.
Well, you're gonna wanna, at that point, you're gonna want to register it, You're gonna want to authorize it.
And I think about a simple example like car Insurance.
If I ask my agent to shop for car insurance For me.
At first, when it's browsing this site Insurance provider, it, the insurance provider may provide or ask for some basic information, But before the insurance provider will provide the quote, They want you; they would want the agent to identify the user.
Right?
And at that moment, that exchange of value, Hey, I'll give you something once you identify yourself.
That's where the agent has to go from an unknown to known into a trusted state.
And of course you need to keep the human in the loop.
So Ping plays in all of these flows today in the personal agent case.
And then when we look at the next.
Case, which is these digital assistants, the frontline agents that are working on behalf of Or to serve your customers, those are inside your trust boundary.
And again, if you look at the typical flows involved here, Ping Identity can help secure all of it.
Again, user identity being provided.
The agent life cycle in this case, because this is now a ManagedAgent, You need to manage the life cycle of it.
You need to do things like authentication, authorization of the agent, And again, keeping the human in the loop.
And then when you look at the full Autonomous digital worker case, Similar case here, except now the employee is inside the trust boundary, So very similar things: user authentication and identity, agent life cycle, Authentication, authorization, human in the loop.
So at Ping Identity, many of these, all of these concepts are not new, And they're leveraging standards that have emerged for a long time.
And so we're gonna continue to enhance our products to make them more Agent aware, But today.
You can deal with some of these concepts in our products, you're just dealing with a new Identity type that you haven't dealt with before as part of it.
So let's look at a roadmap.
So I'm gonna show two sides of roadmap.
On the left-hand side, this is identity for AI, and the right side is the AI for identity.
So that's the Helix stuff.
And um providing Agent authentication authorization is.
Something we can do today.
One of the things I didn’t mention is that the standards in the Agent world are converging on Existing identity standards.
That's really good news for all of us because We're not reinventing the wheel, and we can leverage the current infrastructure that we've All implemented to support this new identity Type that's coming through and supporting new Interaction flows or new ways of interaction.
Managing the AI agent life cycle, so this is identifying the agent and doing things like Assigning human ownership first half of next year, as well as detecting good versus bad bots.
As I said earlier, we're looking at trying to get a beta done by the end of this year and Then bringing, bringing it fully to the products in the first half of next year.
On the Helix side, so, you know, the demo I showed of that AI assisted journey, We're looking at releasing that in Q1 of 26.
Um, we're also enhancing our governance product and analytics products to be AI-assisted Give you more insights automatically using agents and then support also importantly for MCP on our servers because you're gonna want to create agents that interface with our products to do things like.
To automate a workflow, for example, so we're, we're gonna be bringing those as soon as we can Sometime in the first half.
We already have some work on this, and we're probably gonna start to release some of it Even earlier out to more Community Edition for people to get hands-on and start giving us Feedback.
So that's what's going on in the world of Agents and AI and identity, and then as we talked about deep fakes and the importance of Verification and some of the roadmaps that we've shared, Um, but it's not all we have.
So, um, there's a lot of product areas that we haven't even talked about here in depth.
Uh, we, we mentioned earlier going out to the Trust Labs.
We've got a great group of product Managers here today that represent all of the products we have.
So if there's something you have an interest in that you didn't hear about, You can get with them.
In addition, I'd encourage you to take a look At these 3 specific sessions.
We've got a lot of great sessions this Afternoon.
Um, Darryl Jones, who heads our consumer Identity Segment, uh, in Product Management, he's going to be talking more about the Implications of agents in commerce, specifically on the SIA side.
Patrick is going to give us a blueprint, and so he's going to take it down further Level from what I shared very conceptually into the details of how you can do this.
And then we announced our next-generation privilege product today.
In fact, today we announced it globally.
And Mahnish is here from our Product Management team, and he's gonna be taking folks who have An interest in that much deeper as well.
And as I said, visit the Trust Labs as well to get more information from our Product Managers On anything you didn't see where you had a question today.
So with that, I'd like to thank you very much and turn it over to our next speaker, Luke.
Sydney makes a noise.
Peter Barker.
All right, good morning.
Uh, I'm really looking forward to today's presentation, uh, Following Andre, of course, this morning and the great team at Spark who gave us a great Presentation that I think is just so relevant to some of the things I'll be talking about in My presentation as well, just made it really, really, really real.
So we heard from Andre this morning, there’s more complexity, More vendors, more attacks, and ultimately more identities.
And the role of Identity is more essential than ever today.
And when we think about this resilient trust and how we're going to get there, I mean, how do we get there?
So I'm gonna double-click a little bit into two specific topics.
You know, André mentioned this morning just because there are so many different things in This world of identity that we could be talking about, it's really impossible to get to all of It.
But I'm gonna talk about two things.
Specifically that I think are really important for us to, Uh, to consider how rapidly this Identity industry is, Oh, like about to fall over.
Um, how rapidly this industry is evolving and how quickly it's changing.
So deepfakes and the Agentic Era.
Starting with deepfakes, we'll just take a look a little bit at our friend Mr.
Sam Altman, CEO of OpenAI, and when he's saying he's seeing an impending significant fraud crisis while at the same time SIM simultaneously creating the crisis, You know, I think we have a problem.
Houston, we have a problem, and there comes our strategy and our vision around verified Trust, and as I mentioned a moment ago, the team at Spark who presented what they're doing, I think you saw a lot of verification showing up into there.
Customer experience, whether it was the customer in the store who was identifying themselves from the MobileIron app or whether it was Spark calling the customer, Both ways we had verification going on and were involved in those flows, And I think it really highlights the importance that.
Verification has to become infused in every identity interaction.
It's no longer something reserved simply for initial onboarding to do strong Verification and binding to the digital account.
So if we look at the Verified Trust Innovation at Ping Identity, And we look back in the history, Ping really got started as an identity security company, Introducing products like single sign-on MFA Access, Directory.
And that followed with identity fraud capabilities with PingOne Protect and authorize, And that followed with identity assurance, with things like Verify.
And then additional products started to come into the mix, like orchestration, which really cut across all of those swim lanes, credentials similarly, the ForgeRock merger, and now today we just announced just in time privileged access as Well.
But what's interesting about this is those 3 Swim lanes across the top.
Security fraud verification.
Historically, the identity industry is kind of focused on identity security, and that's a lot of how we've talked, But fraud, and verification or assurance are equally as important.
So going back to the dimensions of unification or convergence, So we, Andre, talked about the convergence or unification of Workforce, Customer, partner, and now agents on one dimension of unification.
On the second dimension, we've got privilege, access, and governance.
Those are really, if you think about it, really all about identity security.
But there is a third dimension of unification and convergence that we're concerned about, which is really bringing these three worlds together identity security, Identity fraud, and identity assurance, because all three of these pillars now.
Are so important not just to deploy independently but to start thinking about them Together when you're delivering on ultimate your identity experiences to your users and Therein lies the opportunity to bring a concept we call Verified Trust.
So let me expand what I mean by verified trust in a little more technical detail.
So going from basically Authentication to Verified Trust, If we think about the current paradigm of identity today, It's one of implicit trust.
And what I mean by that is the user is Authenticating to an account.
And by virtue of that authentication, the service is trusting that the user is who they Say they are.
But we understand that we can no longer trust Our eyes and ears in this world today, that having just the authentication is not strong Enough.
We need verified authentication, and so That's where the model needs to evolve.
It's going from one of implicit trust to one of Explicit trust, where we flip the model on the head, and it's not just about.
User to service trust, but service to user verifying that the human is who they are.
It's no longer just about authentication and authorization, but it's about verified Authentication, verified authorization, and we can take it a step further as well to peer to Peer verification as well.
It's not just service to user, But also when you're working with your colleagues in remote work locations and you’ve Got your CFO asking you to write a check to a vendor in a big amount of dollars.
You may want to verify that the CFO is actually who they say they are instead A deepfake trying to defraud your company of money as an example.
And there's a lot of use cases here that we look at from Verified Trust perspective.
Account onboarding, uh, account opening and onboarding.
So this is both the Yam flavor of.
Opening an account, but also the onboarding journey of employees into an enterprise Verified Access, so every time somebody is authenticating.
Uh, to a service or to a resource that it's not just the authentication, But there's verification involved as well, Verified account recovery and reset.
So when people are calling into the help desk on one hand or calling into your customer Service Department on the other to get help with their account.
Uh, the verified Peer case that we talked and also verified authorization.
When you're doing things like signing a transaction to transfer funds between accounts, You wanna make sure that the person who's actually signing that transaction is who they Say they are.
And so, the implications of this are that again Verification is becoming hugely important to how identity needs to work today.
But at the same time, if you think about the user experience of identity verification today, It's pretty much take a photo of the front and back of some valid government ID or credential.
Take a selfie.
Wait for the process to check.
Maybe you have to answer some knowledge questions as part of that process to prove who You are.
It's a good process, right, to really establish A strong verification of the human, but the problem is it's quite expensive.
It's expensive from a user experience standpoint because it takes minutes to do this Process, not seconds, not milliseconds, and it's also expensive transactionally when you’re Paying a partner like Ping to do these things.
It costs a lot of money versus the cost of Authentication.
And so it's incumbent on us at Ping Identity to Deliver a solution where we can make verification as affordable as authentication.
And so that brings us to some design principles around verified trust that we're thinking about As we bring this, because maybe the initial process of verifying the human is going to be A heavyweight process.
You want to really, Really strongly verify and bind that person to their account and to their identity.
But every ongoing verification step, which I would actually say is just re-verification of The ID of the person that needs to be really fast and cheap.
So fast and cheap and so frictionless to the user that you're willing to deploy it in every Identity moment, not just in the high-risk key risk moments of the journey.
And so that means we want to bring low assurance to high assurance in milliseconds, Not minutes.
We want it to be privacy-preserving and Standards-based because one of the key enabling technologies that we see to do re-verification Of identity is biometrics.
And when you talk about biometrics, it's often, you know, A word that makes people kind of sit back a little bit because of concern about maybe your Legal department and privacy concerns.
But at Ping, as we're looking to introduce this capability, we're very strongly focused on Making sure that anything we do in the world of biometrics.
Is not just privacy-preserving but privacy compliant and also doesn’t put your business at Risk around the concept of biometrics.
We want to infuse it in every single identity interaction.
We want the UX to be frictionless and invisible to the users, and then, As I said, low cost of ownership.
And so at Ping, our strategy is to bring this concept of verified trust and have it be embodied in our PingID mobile application experience, which today is basically an Authenticator if you think about it.
And we want to bring even more into the PingID application as well as the Ping SDKs and so that you can bring the same capability into your MobileIron applications, into your web apps if you're not deploying Ping ID.
So PingOne ID becomes more than just an MFA app.
Uh, you may know already today we've integrated our identity verification product Verify.
We've introduced, uh, we've integrated our Credentials product into the PingID app.
We're going to bring PingOne Protect signals and we're going to importantly make sure that we.
Infuse the experience to be more seamless, as opposed to each of these things like MFA A distinct step or verification being a distinct step.
We want integrated experiences so that you start to see, um, an experience that is more seamless to the user that's bringing those concepts together and I, Um, I think I had some screenshots.
I may have deleted them because I was about to Show you a preview of what it looked like, but nonetheless, let me take you through a few Roadmap slides about these concepts.
So, we talked about identity verification.
Uh, we talked about our protection signals.
We talked about credentials.
So some things that we're focused on bringing to market in these key services that we're Going to bring together into Ping ID.
Uh, first is to introduce IP, email, and phone intelligence into the verification service as well, so we can ensure that that signal, That that reputation of the device, the email is really quality as you're verifying the human.
We're also going to be introducing global database checks today as well so that the Verified product can be used in more jurisdictions globally and then also global Watch list checks as well to ensure that the people who may be signing up for your service aren't on a watch list as well.
In our PingOne Protect roadmap, and Protect is our great product that helps bring signals around Fraud and risk into your user journeys, it also helps improve the user experience.
For example, because it reduces the amount of times that a user may need to authenticate or Do things like strong multi-factor authentication as well.
Um, several things we're focused on.
First, AI agents detection.
So in André's presentation and later in my presentation, I'm gonna talk more about AI Agents.
One of the key things we need to ensure that We can do is detect the good from the bad, because ultimately you want to allow the good Agents in, and you still want.
Block the bad agents.
And so we're doing a lot of research now into introducing this into our PingOne Protect So that you can start to filter that traffic into your user journeys or block.
In fact, we're targeting trying to get a beta done in Q4 and released sometime in the first Half of next year.
We're also going to be introducing more advanced signals into the PingOne Protect product to Protect against new account fraud and account takeover.
So things that we're going to do here is really start to leverage Graph-based connections Across devices, users, networks so that we can start to see new connections that we previously Could not see in the PingOne Protect product that it is going to give you more against those things.
And then of course AI is central to how we're Actually seeing those signals emerge in the data.
And then we're also focused on time to value ease of use, So we're going to have more simplified setup out of the box protection delivered to you from The product, so you don't have to necessarily be an expert on how to tune the signals to get The value that you're looking for.
And then finally on our credentials, which is ours, you can think of it as our decentralized Identity capability, uh, we heard, we heard again the Spark team talk about Matter, which is their subsidiary that deals with these concepts.
This is really relevant to government ID schemes like in Europe for EIDA or Driver, You know, um, digital driver's licenses, things like this.
So, uh, later this year, we're going to be allowed to be issued in our Credentials to be issued into third-party wallets leveraging standards.
We also want to be able to again leverage standards to do verification from Platform-based wallets and then delegation so that the issuer approved Options to enable other humans or AI assistants are allowed to take actions on the user's behalf.
So a great roadmap on these 3 products that are Kind of continuing to evolve, while simultaneously we're gonna start bringing the Experience from the end-user perspective together with verified trust.
So.
The road to verified trust, so bringing those Those capabilities together, uh, from a roadmap perspective, we are targeting in Q1 26 to Introduce an integrated onboarding experience and access experience that infuses verification Into it.
For Q2, we're looking at verified account Recovery and Reset, and then finally verified Peer to peer in the second half of next year.
So again, it's taking some existing products, but delivering an entirely more secure and Convenient and frictionless user experience via the PingID mobile app as well as the SDKs.
So that's our strategy around verified trust, which is really bringing verification to the Next level of importance and making it infused in every identity moment.
So I'm gonna switch gears.
I'm gonna talk about agents.
Agents is going to be a key topic today.
Just curious, Show of hands, how many of you walked in today hoping to learn more about Agents?
Has this been on your mind?
Yes, it's like it's hard to avoid at this point, and you know what's crazy about it is how fast It's moving.
I, I just, you know, as I reflect about my Personal time in this industry, I've just never seen a moment like an inflection moment where Several things are happening all at once, whether it's things like the threat of AI with Deep fake fakes on one hand.
The potential of AI with AI agents and what that represents to the world, It's just, it's incredible how fast it's moving.
So again we return to Mr.
Altman and you know, Again, the person bringing this opportunity to us is warning us against the risks and saying, Really recommend you.
Be careful with these things.
And we agree 100%.
Let's be really careful because it's hard to Predict what's gonna happen if we don't take it very, very seriously.
Um, Andre explained these concepts.
There's two ways we think about AI when it Comes to identity.
One is providing identity for AI.
The other is using AI in identity or AI for identity.
So I'm going to talk about both of these because we are focused on both of these topics at Ping Identity.
We're leveraging the one on the right in the Gray box, AI for identity.
We're leveraging our Helix Platform to provide AI features in our products, and then of course we're going to be leveraging our very powerful Platform to provide identity for AI.
So when I think about identity for AI and what are the things that we need to deliver from a Feature function perspective, you're going to see some very familiar words Identify, Recognize, onboard, register, authenticate, Authorize, life cycle, Manage, govern, monitor.
Sounds really familiar.
Because it is, in fact, AI agents, when you think about AI agents, They're in our mind, just another identity type, just like a workforce identity or an employee identity, just like a customer identity, just like a partner identity.
It's just another type of identity that we need to manage.
And so the same principles we've used historically for human identity are actually Going to apply here to agents and non-human identity.
So the same functionality is required for that.
If I switch gears and go to the other side of the slide, When we talk about AI for identity, this is where we're leveraging our Helix platform.
It's a different set of concerns that we need to be concerned about.
One is we need to facilitate things like agentic workflows.
How do you orchestrate.
A request from a user to understand intent, reason about that, And orchestrate a response that can deliver on the outcome that the user is looking for.
How can we do that in a way that's low-code, no code, and developer friendly?
How do we ensure privacy and safety in those interactions so that we're not either taking in Data that we shouldn't, nor letting data that shouldn't go out of the AI also be there?
How do we allow customers, regardless of your deployment model, Whether you happen to use Ping SAS services or you're deploying Ping software in your own Environments, how do we allow you to consume the power of AI no matter what your deployment Model is, and then also making sure we're future ready.
And it's kind of, you know, the idea of future ready right now is pretty intense because Things are moving so fast, it's crazy.
So this is our Helix platform here, this functionality, and the one thing I'll say about Helix is Ping Identity, our developers, our engineers who build the products that you all Use, we are going to be customer number one of Helix because we are leveraging Helix to Build.
The AI features that we're going to deliver Into the products.
So the demo that André showed earlier today was showing an AI-assisted administration Experience where you could type into a chatbot and, uh, have it assist you in doing Various things in the Admin-UI.
Well, imagine taking that to another step.
And again leveraging the power of Gen AI and.
Imagine you've got, for example, a help desk community or a customer service community that You want to enable to on a delegated basis do certain sensitive actions like maybe reset An account or maybe allow MFA to be bypassed for a moment in time without needing a really Expensive administrative resource to do that and enabling your Help Desk.
But how do you ensure that a large group of folks who may not be skilled in the Platform Can actually take such an action?
So I'm gonna show you a demo.
Of something we did at a hackathon recently where we fused several concepts.
We fused the concept of a chat interface on the right.
We added some voice to it, and we're gonna show an example workflow.
So it's gonna refer to a workflow where it's going to use an MFA, an MFA bypass for an Individual user, but this is an assisted process to somebody who may not be skilled in The platform.
So you're going to hear two voices.
One will be the first will be the AI, and the second is the person interacting with the AI.
Let's take a look.
I've successfully started the workflow to Temporarily bypass MFA.
Please specify the user you'd like to select.
I would like to select John Doe.
Let's proceed to see how to allow MFA bypass for this user.
Let me know when you're ready for the next step.
I'm ready.
I'll now navigate to the Services tab and open the Authentication section.
Where you'll see the MFA status for this user.
Please let me know when you're ready to proceed.
I'm ready to proceed.
As you can see, the user has MFA enabled.
You can see the MFA bypass option here.
Please let me know if you are ready to proceed.
To the next step.
OK, we can go ahead with our MFA bypass.
You can see the time duration for which the MFA bypass will be active.
I would like to remind you that disabling MFA for a user is a security risk and should only Be done in emergency situations.
This brings us to the end of this workflow.
So, as you can tell by that example, this was a defined workflow that you've defined, maybe for A help desk person to help end users with to bypass MFA, and you can imagine all the types of Different workflows you might be able to enable so that you could have a voice assistant Experience doesn't have to be.
Voice in this case.
Voice was the medium that was used.
I mean, it could be just in a chat UI as Well, but you can see what the power is because this this example not only was explaining to The user how to do or what it was going to do, but also took them through the UI Simultaneously to get the task completed.
So it's pretty exciting about what, what we can do there.
So that, that was AI for Identity, and we've got a lot of rich features coming out in this, And I have a roadmap slide to come here in a bit.
So I'll share more about what's coming as it relates to AI features in the Ping products that we're gonna be bringing to market.
But now I'm gonna go back to that other side of the slide, The left-hand side of the slide, and I'm gonna talk about identity for AI.
So we're really talking about AI agents, and we'll return again to Mr.
Altman.
Lots of upside, lots of downside.
I don't know how else to say it, but at Ping Identity, fortunately, Or fortuitously, I mean, I don't, I don't profess that we always have a crystal ball, But we have been investing in this area for quite some time.
There are two concepts we've been investing in as a company for various reasons that are Coming together to deliver on the promise of what AI agents are doing.
So we've had, in effect, we've had a head start on this problem for quite some time.
On one hand, we've been working on non-human identity, whether that's delivering identity for things like IoT.
So we have, for example, at Ping Identity, many of the large global car manufacturers are Customers of Ping Identity.
Every one of those cars has an identity.
Because you need to know that the car who's connecting to the data center to send telemetry Is an authenticated vehicle.
That's an example, or doing a more workforce use case like discovering Service Accounts in Our governance product.
But we've been innovating in this concept of non-human Identity for a while.
And AI agents, just another flavor of non-human identity at the end of the day.
Simultaneously, we've been working on something else as well, And this has been this major trend since both of these around 2019.
The concept of OpenBanking.
Open APIs with things like delegated consent.
And fine-grained authorization.
Using identity standards like SEBA, Client Initiated back-channel authentication.
Uh, OA, uh, PAR and RA standards as well, uh, and a model of trust that supports a Multi-party trust relationship.
In this case, When it comes to OpenBanking, you're talking about a consumer, their FinTech solution, and their bank, and having a very rich set of authorization Relationships or trust model for that multi-party relationship.
Well, think about AI agents.
AI agents are not real, Real different than.
Basically a mini FinTech on your desktop as a consumer.
So you need the same concept of the user, this third-party FinTech, which is the Agent and your Service Provider, be it your bank, Your insurance company, whatever it may be.
And this has been pervasive throughout the world in places like the UK, Here in Australia with Consumer Data Right and other places as well.
Those things are merging together.
These two concepts are merging together to secure the agentic future.
So it's on one hand, providing identity for agents, but on the other hand, It's providing what I call trust for humanity.
Not just trust for people, Trust for Humans, but literally, I, I use the word humanity here because I think about the risk we face with this new technology and how fast it's evolving.
And how important it is to have both sides of this at the same time, Having that security and enablement of the AI agents, but keeping, Importantly, keeping that human in the loop with user authorization with those two Converged concepts that we were talking about earlier.
The other thing I think about when I think about agents, I think about two sides of a coin here.
On one side, I think everyone's thinking about the risk.
So, as I said, agents are just another form of NHI that needs to be secured against the Risks that it poses.
But on the flip side, it also really represents An amazing opportunity.
And if you think about AI agents, they are actually another channel of commerce.
If you think about bricks and mortar, going to web, going to mobile, Agents are just yet another channel that's emerging, a pretty exciting channel because It's a really smart channel.
And just think about your next multi-million dollar customer might actually be an agent Acting on behalf of a user.
So it's kind of mind-blowing to think about that that is the reality we may be entering into.
And so if we think about the.
Implications of this.
So on the Commerce side, it certainly is a new channel, as we talked about.
What does that mean?
Well, it means what does customer relationship Management in the world of Agents even mean?
Like, what is your relationship with an Agent versus the relationship with the End Consumer Who's using the agent to interact with your service?
And that implies things like, well, how do we track these agents?
How do we deliver a customer experience for agents that are being initiated by users, And then importantly, keeping the human in the loop.
And then, of course, on the risk side, some of the things, The traditional models of identity, it's a new type of identity, NHI type, needs human ownership, it needs oversight and governance, It needs authorization.
And at Ping Identity, our approach is simple.
It's not just to secure Agents, but it's also to make sure you can enable them.
How do you embrace this new challenge while securing it?
How do you improve the user experience?
How do you ultimately drive more value for your business by embracing this?
And there are 3 types of agents that we think about, and the analogy I would encourage you to Think about is in the world of human identity.
So on one hand you've got your consumers, consumer customers.
On the other hand, you have your employees and your workforce, And then you have something in the middle, which is your frontline workers.
That those are the three distinct types of identity in the human world that we deal with, And in agents, it's no different.
You've got the personal agents that your consumer customers are bringing to your front Door.
You've got the Autonomous digital workers who Are working in your back office, and then you have the ones who are on the front line serving Your customers, the digital assistants.
These are things like chatbots on your website.
And the two on the right, those are managed.
And what I mean by managed is your enterprise is managing these Agent types.
You're having to identify them, you're having to life cycle manage, You're having to assign human ownership.
You're having to do things like govern them, Audit them, but the personal agents are kind of like the Wild West.
You don't control what Agents your customers are going to bring through your front door, Kind of like you don't control what Mobile device they're going to use or which browser or Which operating system.
That's the reality of what we're facing here.
And so earlier Andre showed some slides talking about trust boundaries of these three different Models, and this is a slightly different take to show the flows that are involved here.
So, of course, in the case of a personal agent, this is the one where your consumer customer is Bringing agents to your front door.
They are interacting with the agent, and then trust is being established between the agent and the enterprise and interfacing with things like MCP model contacts protocol, and agent to agent as well.
At Ping Identity, we have rich solutions to help enable and secure this with ease Providing user identity, which is our bread and butter today.
Dealing with things like agent registration and authorization.
So when you have this anonymous untrusted agent coming through your front door, What do you do with it?
Well, at some point in the journey, that agent's gonna ask you for something valuable.
Well, you're gonna wanna, at that point, you're gonna want to register it, You're gonna want to authorize it.
And I think about a simple example like car Insurance.
If I ask my agent to shop for car insurance For me.
At first, when it's browsing this site Insurance provider, it, the insurance provider may provide or ask for some basic information, But before the insurance provider will provide the quote, They want you; they would want the agent to identify the user.
Right?
And at that moment, that exchange of value, Hey, I'll give you something once you identify yourself.
That's where the agent has to go from an unknown to known into a trusted state.
And of course you need to keep the human in the loop.
So Ping plays in all of these flows today in the personal agent case.
And then when we look at the next.
Case, which is these digital assistants, the frontline agents that are working on behalf of Or to serve your customers, those are inside your trust boundary.
And again, if you look at the typical flows involved here, Ping Identity can help secure all of it.
Again, user identity being provided.
The agent life cycle in this case, because this is now a ManagedAgent, You need to manage the life cycle of it.
You need to do things like authentication, authorization of the agent, And again, keeping the human in the loop.
And then when you look at the full Autonomous digital worker case, Similar case here, except now the employee is inside the trust boundary, So very similar things: user authentication and identity, agent life cycle, Authentication, authorization, human in the loop.
So at Ping Identity, many of these, all of these concepts are not new, And they're leveraging standards that have emerged for a long time.
And so we're gonna continue to enhance our products to make them more Agent aware, But today.
You can deal with some of these concepts in our products, you're just dealing with a new Identity type that you haven't dealt with before as part of it.
So let's look at a roadmap.
So I'm gonna show two sides of roadmap.
On the left-hand side, this is identity for AI, and the right side is the AI for identity.
So that's the Helix stuff.
And um providing Agent authentication authorization is.
Something we can do today.
One of the things I didn’t mention is that the standards in the Agent world are converging on Existing identity standards.
That's really good news for all of us because We're not reinventing the wheel, and we can leverage the current infrastructure that we've All implemented to support this new identity Type that's coming through and supporting new Interaction flows or new ways of interaction.
Managing the AI agent life cycle, so this is identifying the agent and doing things like Assigning human ownership first half of next year, as well as detecting good versus bad bots.
As I said earlier, we're looking at trying to get a beta done by the end of this year and Then bringing, bringing it fully to the products in the first half of next year.
On the Helix side, so, you know, the demo I showed of that AI assisted journey, We're looking at releasing that in Q1 of 26.
Um, we're also enhancing our governance product and analytics products to be AI-assisted Give you more insights automatically using agents and then support also importantly for MCP on our servers because you're gonna want to create agents that interface with our products to do things like.
To automate a workflow, for example, so we're, we're gonna be bringing those as soon as we can Sometime in the first half.
We already have some work on this, and we're probably gonna start to release some of it Even earlier out to more Community Edition for people to get hands-on and start giving us Feedback.
So that's what's going on in the world of Agents and AI and identity, and then as we talked about deep fakes and the importance of Verification and some of the roadmaps that we've shared, Um, but it's not all we have.
So, um, there's a lot of product areas that we haven't even talked about here in depth.
Uh, we, we mentioned earlier going out to the Trust Labs.
We've got a great group of product Managers here today that represent all of the products we have.
So if there's something you have an interest in that you didn't hear about, You can get with them.
In addition, I'd encourage you to take a look At these 3 specific sessions.
We've got a lot of great sessions this Afternoon.
Um, Darryl Jones, who heads our consumer Identity Segment, uh, in Product Management, he's going to be talking more about the Implications of agents in commerce, specifically on the SIA side.
Patrick is going to give us a blueprint, and so he's going to take it down further Level from what I shared very conceptually into the details of how you can do this.
And then we announced our next-generation privilege product today.
In fact, today we announced it globally.
And Mahnish is here from our Product Management team, and he's gonna be taking folks who have An interest in that much deeper as well.
And as I said, visit the Trust Labs as well to get more information from our Product Managers On anything you didn't see where you had a question today.
So with that, I'd like to thank you very much and turn it over to our next speaker, Luke.