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| 14 Aug 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
New research once again demonstrates the need for strong identity governance and operational guardrails around AI agents to protect against hijacking attacks that leverage their legitimate access and privileges against their very users.
At a DEF CON 34 session this week, Tenet Security demonstrated how attackers can poison content in trusted systems such as security alerts, logs, and error reports, tricking agents into actions ranging from executing code and stealing credentials to infrastructure takeover. More here
Dark Reading Confidential Episode 20: Expert Rich Mogull reflects on lessons cyber teams should pull from the OpenAI agent's attack on Hugging Face. More...
A study of more than 6,000 patches found that even working patches can introduce new bugs, break something else, or are … More...
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective. More...
A myriad of software makes up the typical AI harness, and trust issues between the components can create concerning atta… More...
Ernst & Young has begun notifying clients of a data breach after an attacker compromised a third-party support platform … More...
Dark Reading Confidential Episode 20: Expert Rich Mogull reflects on lessons cyber teams should pull from the OpenAI agent's attack on Hugging Face. More...
New research shows how attackers can use security alerts and blocked events to manipulate and hijack AI agents. More...
A study of more than 6,000 patches found that even working patches can introduce new bugs, break something else, or are … More...
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective. More...
A myriad of software makes up the typical AI harness, and trust issues between the components can create concerning atta… More...
