AI Red Teaming: Securing Agentic AI Systems (video)
As AI systems gain reasoning, tool use, data access, and autonomous action capabilities, traditional security approaches fall short. This webinar explores why AI-powered adversarial testing is becoming essential for modern AI security.
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WEBINAR
It Takes AI to Break AI: The Case for AI Red Teaming
Discover why AI-powered adversarial testing is becoming essential as AI systems reason, use tools, access data, and act autonomously.
May 25, 2026
Overview
Organizations are racing to deploy AI copilots, agents, and customer-facing GenAI systems. But while the technology has evolved rapidly, most security programs still rely on approaches designed for traditional software. The challenge is that modern AI systems don't just generate content. They reason, use tools, access sensitive information, make decisions and take actions on behalf of users. That creates an entirely new attack surface. In this webinar, Avi Golan, Chief Product & Engineering Officer at Alice, explains why securing agentic AI requires a fundamentally different approach - and why AI red teaming is becoming a critical layer in every AI security strategy. Through real-world examples, emerging attack patterns, and lessons from production deployments, Avi breaks down how organizations can identify vulnerabilities before adversaries do.
You'll learn:
Why agentic AI creates entirely new security and safety risks
How AI attack surfaces differ from traditional software systems
Why benchmarks, penetration tests, and static evaluations fall short
The "Lethal Trifecta" behind many real-world AI agent attacks
What AI red teaming actually is and how it works
Why AI-driven adversarial testing is becoming essential for modern AI security
How organizations can build continuous AI security programs across pre-deployment, deployment, and post-deployment stages
Watch now and learn why securing AI systems increasingly requires AI-powered defense.
Meet our speakers
Avi Golan
Chief Product & Engineering Officer
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