Trust, then autonomy: A new framework for evaluating agentic AI in security

The security industry has rapidly shifted from “AI-assisted” tooling to claims of autonomous security operations. But the rigor used to evaluate these systems has not kept pace.
Join Sublime Security and Georgian for a discussion on the growing credibility gap in security AI and why trust in autonomous systems must be earned through evidence, transparency, and operational safeguards.
We’ll examine how the security industry can better evaluate AI autonomy and distinguish marketing claims from operational reality.
In this webinar, we’ll cover:
- The difference between AI-assisted, supervised, and autonomous systems
- Why security AI fails differently in adversarial environments
- What rigorous AI evaluation actually looks like
- The role of explainability, transparency, and auditability
- Practical questions every security team should ask AI vendors
You’ll leave with a practical framework for evaluating security AI systems and understanding what trustworthy autonomy actually requires.
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