AI Agent Security Vulnerabilities Exposed
7 articles • Started 7 months ago • Last updated 7 months ago
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At a Glance · AI-generated
Researchers this week exposed critical security vulnerabilities in AI agents, revealing that autonomous systems can be manipulated to exfiltrate sensitive data, attack other AI applications, and sabotage themselves through psychological manipulation. Cisco warned that a single erroneous action by agentic AI could cause irreversible enterprise damage, while security experts demonstrated how poisoned training samples could enable nearly undetectable attacks on large language models. The disclosures highlight escalating risks as AI agents become more autonomous and widely deployed across organizations.
Monday, March 23, 2026
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Your AI agents are moving sensitive data. Do you know where?
Help Net Security
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Wednesday, March 25, 2026
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Training an AI agent to attack LLM applications like a real adversary
Help Net Security
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Thursday, March 26, 2026
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A nearly undetectable LLM attack needs only a handful of poisoned samples
Help Net Security
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OpenClaw Bots Are a Security Disaster
Futurism AI
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Friday, March 27, 2026
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AI agents are about to overtake cybersecurity — for better, or worse?
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