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ai security
Managing the cyber risk of agentic AI
Organizations deploying autonomous AI systems should implement safeguards, sandboxing, and active oversight to realize their benefits while limiting unintended activity. The approach balances operational gains against the cyber risks introduced by agentic AI.
Why it matters: Practitioners deploying or securing autonomous AI systems need guardrails to prevent unauthorized or harmful actions that agents might take independently.
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ai security
Managing the cyber risk of agentic AI
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
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Correction
Correction recorded as of .
ai security
Managing the cyber risk of agentic AI
Organizations deploying autonomous artificial intelligence (AI) agents should implement safeguards, sandboxing, and active oversight to limit unintended behavior. These measures help ensure that agentic systems deliver intended benefits while reducing cyber risk. Practitioners can treat such controls as part of a broader risk management program for AI.
Why it matters: Security teams overseeing AI-driven automation should assess safeguards, sandboxing, and active oversight controls to mitigate unintended agent behavior today.
- Source published
- First seen by Cybersecurity Tracker