Risk
Management
Detect threats and make more
intelligent authentication decisions.
What is Risk Management?
Risk management enables your organization to make smarter authentication decisions by aggregating and weighting various signals coming from a user, network, device and more.
How Does Risk Management Benefit My Business?
Better Security
Evaluating risk signals enables your organization to gain in-depth user behavior insights and make better authentication decisions to keep your business safe from bad actors.
Improved User Satisfaction
Whether it’s your customers abandoning carts or your employees losing productivity, login friction is hurting your business. Reduce login friction by using real-time information to make intelligent authentication decisions.
Intelligent Authentication
Traditional network perimeter is no longer sufficient to grant access to resources. You can instead leverage risk signals to analyze context and user behavior to make intelligent authentication decisions.
What Capabilities Does Ping Risk Management Offer?
Ping’s Risk Management solution enables:
Increased level of assurance in user identity
Aggregated risk policies that incorporate multiple risk signals
Machine learning and advanced analytics to learn behaviors
Dashboards to provide security insights and reporting on high-risk events
How Risk Management Works
Add to Authentication Flow
Risk management is a signal-based approach that integrates into your authentication flows and policies to capture important characteristics of a user’s session.
Rate and Aggregate Risk Signals
Assign and collect a level of impact for each type of risk signal, including suspicious aspects of a user’s device, what network they’re on and aspects of their behavior to reveal a risk score.
Access to Everything
Once you’ve considered the aggregate risk score, you can determine if an access request should be granted, require step-up authentication or deny access.
How Do Risk Management and MFA Work Together Intelligently?
MFA has become a popular choice to prevent these many types of attacks, but it adds friction when users are prompted to MFA every time they login. Risk management provides the necessary intelligence to optimize this process for users and your admins. When MFA and risk management are Combined they deliver an optimized, secure and frictionless experience.
Increase Security By Aggregating Risk Models
Risk Management allows you to easily configure intelligence-based policies to meet your organization’s needs by allowing administrators to assign different weights to each risk predictor and combine the results to calculate a single risk score. Your organization can optimize the thresholds for low, medium and high risk scores in the policy to ensure only the right users get access to resources.
User and entity behavior analytics (UEBA)
Anonymous network detection
IP reputation
Impossible travel and geolocation detection
Secure Authentications with Deep Insights
Understanding where risk is inside your organization can help you make the right authentication decisions to increase your security posture. Dashboards provide the ability to gain deep insights, such as what and where are the most common risk factors in an organization, into authentication patterns.
Fast and Easy Cloud Deployment
Ping’s risk management service is easy to deploy and set up without the burden of on-premises infrastructure. It works well with your Identity and IT stacks, allowing for a simple and smooth implementation.
Ping Products That Enable Risk Management
PingOne Protect
Cloud-based risk management service to secure authentication and increase visibility into threats in the organization.
PingOne for Workforce
Risk management is part of a complete cloud platform for seamless, secure employee experiences
Customer Spotlight:
Learn Why DB Schenker Chose Ping Identity to Implement Risk-Based MFA and Consolidate
The addition of risk-based MFA allows DB Schenker to provide an even higher level of security for access to their IT landscape—creating peace of mind for both the team and their customers. They’ve also reduced integration time to 30 minutes, a 75% improvement over their previous workflow.