From deepfake-enabled fraud and AI-enhanced insider threats to the rise of autonomous AI agents acting on behalf of users, CIOs and CISOs face new challenges that blend speed, scale, and deception.
To stay ahead, organizations must not only secure AI agents and digital workers that enhance workforce productivity, but also have the ability to verify their legitimacy, ensure they are not overprovisioned, and detect when they’ve been hijacked by malicious actors. Identity is now the most strategic control point for distinguishing between trusted and compromised entities—human or machine. An adaptive, identity-first security model is critical for detecting, preventing, and responding to these evolving threats, while enabling the business to scale AI safely and securely.
This brief outlines the emerging risks, strategic defenses, and the central role of identity in securing your organization.
The Wide-Ranging Impact of AI-Driven Threats
Deepfakes and synthetic media are now being used in targeted attacks, from impersonating executives for wire fraud to bypassing voice-based authentication in call centers.
- Insider threats, whether malicious, negligent, or compromised, remain one of the most difficult risks to detect. Fortune 500 companies have unwittingly hired thousands of software engineers who claimed to be U.S. developers but are, in fact, North Korean operatives using a combination of AI and stolen or fake identities. These actors often operate with legitimate access, making their actions hard to distinguish from routine activity.1
- Generative AI (GenAI) empowers adversaries to scale social engineering, mimic communications across languages and roles, and automate reconnaissance and exploitation. 91% of global security experts expect AI-driven threats to surge further over the next three years.2
- Agentic AI is transforming the way organizations do business, but AI agents whether they are internally managed as digital workers or coming from outside parties such as customers or partners, raising new security concerns. Security frameworks must evolve to ensure these accounts are not overprovisioned or susceptible to hijacking.
Without visibility, real-time risk detection, and secure identity frameworks, organizations face increasing exposure to financial losses, operational disruption, and erosion of trust.
Identity-First Security for the AI-Transformed Enterprise
With the rise of deepfakes, credential theft, and synthetic identities, an identity-first security approach is critical to mitigating AI-driven threats because identity is now the primary attack surface. By anchoring security around who is accessing what, from where, and under what conditions, CIOs and CISOs gain the visibility and control needed to detect anomalies, enforce Zero Trust, and respond to evolving threats in real time.
A modern identity and access management (IAM) platform helps organizations secure their digital ecosystems with an adaptive, identity-first security model that treats identities—of users, devices, and now intelligent agents— as the foundation of Zero Trust. As AI agents become embedded in business workflows, a comprehensive identity platform ensures these non-human identities are onboarded securely, continuously verified, and monitored for behavioral anomalies, helping organizations detect both valid, authorized AI agents and potential agent hijacking.
Key Identity-First Capabilities CIOs & CISOs Can Leverage
Business Return On Investment, Enablement, and Resilience
Leveraging these capabilities, CIOs and CISOs can:
- Reduce breach risk and fraud-related losses by proactively identifying and stopping AI-enhanced threats at the identity layer.
- Enable high-trust, low-friction user experiences, critical for customer retention, partner trust, and employee productivity.
- Streamline compliance by maintaining a defensible posture across evolving data protection and AI regulation landscapes.
- Demonstrate measurable security ROI, linking identity investments to business outcomes such as cost savings, increased speed to market, and reduced risk and fraud.
Protect & Empower Your Business
Defending against AI-driven threats demands more than incremental improvements; it requires a strategic shift. And, as AI agents become part of the workforce, they bring both productivity and risk—IAM systems must evolve to securely onboard, manage, and monitor these digital workers.
This new paradigm calls for adaptive, AI-aware identity strategies with context-driven controls, risk-based authentication, and continuous monitoring. Identity is the modern control plane, and when enhanced with intelligence and automation, it becomes the enterprise’s most effective defense against deepfakes, insider threats, agent hijacking, and whatever AI-driven attack comes next.
By investing in identity-first security, organizations can shift from reactive AI threat mitigation to proactive resilience, protecting not just systems, but brand equity, shareholder value, and long-term growth.
1 fortune.com/2025/04/07/north-korean-it-workers-infiltrating-fortune-500-companies/
3 microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born