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#aiagentsecurity — Public Fediverse posts

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  1. It seems that the AI agent security industry may be repeating familiar mistakes: reaching for detection as a first-line preventative control instead of doing the structural work.

    Detection is not prevention. A filter that can be probed and evaded by the system it is protecting is not a control. It is a delay.

    Instead, treating security as an engineering problem leads to invariants: what can we make structurally impossible? What attack surface can we completely eliminate? Detection comes after, augmenting a foundation that does not depend on it.

    For AI agents, the structural question is: can we constrain the agent to a path aligned with human intent, rather than trying to detect whether it behaves maliciously?

    More below:
    securityblueprints.io/posts/ag

    #AIAgentSecurity #OpenSource #Cybersecurity #AIGovernance #LLMSecurity