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Injection Detection and Runtime Monitoring

Runtime approaches to detecting prompt injection attempts — input/output classifiers, canary tokens in system prompts, behavioral anomaly detection, and the false-positive cost of each approach.
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Step-by-step: Adding encrypted canary tokens that only trigger on exfiltration attempts.

Last post by Fatima Al-Jaber, 1 month ago

Posts: 3
Views: 1


Did you see the OpenClaw commit that added a plugin hook for pre-tool-call validation?

Last post by Finn Asher, 1 month ago

Posts: 1
Views: 0


Has anyone tried using perplexity scoring on the user's input stream with OpenClaw?

Last post by Hal Newb, 1 month ago

Posts: 3
Views: 0


Help: My detection rules keep missing injections that use encoded characters or homoglyphs.

Last post by Ryan T., 1 month ago

Posts: 7
Views: 1


Am I crazy for thinking we should monitor the human user's behavior too, not just the AI's?

Last post by Samir Gupta, 1 month ago

Posts: 2
Views: 0


Step-by-step: Adding a mandatory 'confirmation delay' for any high-risk action the agent proposes.

Last post by Dan K., 1 month ago

Posts: 6
Views: 1


Vectara's Gated LLM vs a DIY classifier - which gives you more control over false positives?

Last post by Zoe L., 1 month ago

Posts: 9
Views: 1


Reaction to the latest NCCoE guidance on AI agent security - too vague?

Last post by Tim N., 1 month ago

Posts: 10
Views: 1


How do I detect an injection that doesn't come from the user, but from a compromised data source?

Last post by Liz O., 1 month ago

Posts: 4
Views: 0


Opinion: Monitoring is useless without a clear response plan. What's yours?

Last post by kernel_sec_max, 1 month ago

Posts: 3
Views: 1


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