Generative AI introduces new identity security challenges and opportunities — from AI models needing their own identities and access controls, to AI being used both to attack identity systems (deepfake voice MFA bypass) and defend them (AI-powered anomaly detection).
⚙️ How Does It Work?
AI models are treated as non-human identities requiring governed access to data and tools. Organizations must also defend against AI-powered attacks: deepfake voice phishing, AI-generated spear phishing, and automated credential stuffing at unprecedented scale.
📍 Where Is It Used?
Any organization using AI tools (Copilot, ChatGPT, custom LLMs) or facing AI-powered threats in their identity attack surface.
💡 Real-World Example
An attacker uses a deepfake audio clone of a CFO's voice to bypass a voice-based MFA challenge for a wire transfer authorization. The attack succeeds because the organization relied on voice biometrics alone. Defense: add a second phishing-resistant factor (FIDO2) alongside biometrics.
🔗 Related Terms
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