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.
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
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