AI Security Is Never Finished: Building the Continuous Red Teaming Loop
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Check Point Software Technologies describes a central problem of modern AI security: A passed security test is not a permanent proof of security. It applies only to a particular system, a specific configuration and a specific time. Productive AI systems are constantly changing however: models adapt their behavior, prompts are revised, retrieval sources are added, agents are getting new tools and [...] The article AI security requires continuous …
AI Security Is Never Finished: Building the Continuous Red Teaming Loop
Security programs are built around moments of closure: the finding is closed, the control passed, and the release can move forward. AI security refuses to cooperate with that model. A passing test is useful evidence, but only for a specific system, configuration, and moment. Production AI keeps moving. Models change behavior, prompts are revised, retrieval sources are added, agents gain tools, and users introduce unexpected context. Attackers…
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