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Agentic backdoors discovered via pretraining poisoning
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AIRecent research highlights a severe security vulnerability where AI models can be compromised during the pretraining phase to create stealthy agentic backdoors. These hidden vulnerabilities could allow malicious actors to manipulate autonomous AI agents executing complex, multi-step workflows. Cybersecurity experts are calling for tighter verification standards across foundational model pipelines.
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