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Agentic AI security is testing where enterprises place their trust as software gains the ability to access sensitive data and act on users’ behalf.
Summary
The challenge extends from controlling individual requests to governing actions that can span multiple systems and business processes.
This is a brief wire summary, the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 33 other articles touching the same topic (roger cornejo, rsa security, identity management) , see the full security news archive.
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