In this Help Net Security interview, Jason Lord, CTO at AutoRABIT, discusses the cybersecurity risks posed by AI agents integrated into real-world systems. Issues like hallucinations, prompt injections, and embedded biases can turn these systems into vulnerable targets. Lord calls for oversight, continuous monitoring, and human-in-the-loop controls to combat these threats. Many AI agents are built on foundation models or LLMs. How do the inherent unpredictabilities of these models—like hallucinations or prompt injections—translate into risks … More →
The post When AI agents go rogue, the fallout hits the enterprise appeared first on Help Net Security.
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