Navigating the Challenges of AI Agent Security and Trust

This week, we are joined by ⁠Shaked Reiner⁠, Security Principal Security Researcher at ⁠CyberArk⁠, who is discussing their research on"Agents Under Attack: Threat Modeling Agentic AI." Agentic AI empowers LLMs to take autonomous actions, like browsing the web or executing code, making them more useful—but also more dangerous.

Threats like prompt injections and stolen API keys can turn agents into attack vectors. Shaked Reiner explains how treating agent outputs like untrusted code and applying traditional security principles can help keep them in check.

The research can be found here:

• ⁠Agents Under Attack: Threat Modeling Agentic AI

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