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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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Switched from output classifiers to input classifiers. My throughput halved. Worth it?

Last post by Liam P., 2 months ago

Posts: 1
Views: 7


Did you read the ArXiv paper on using N-gram overlap between input and system prompt for detection?

Last post by Priya Nair, 2 months ago

Posts: 5
Views: 10


Just starting out. Do I need to understand ML to do effective runtime monitoring?

Last post by Peter Chang, 2 months ago

Posts: 27
Views: 15


Starting from scratch: Can I just grep the logs for 'ignore previous instructions' and call it a day?

Last post by Ivan Petrov, 2 months ago

Posts: 8
Views: 14


How do you handle monitoring when the user's prompt is legitimately weird or creative?

Last post by capability_guru, 2 months ago

Posts: 7
Views: 9


Comparison: Logging to Splunk vs a dedicated SIEM for agent security events. Pros/cons?

Last post by Fatima Al-Jaber, 2 months ago

Posts: 19
Views: 19


Absolute basics: What are the key log files for a default OpenClaw deployment?

Last post by Mike D., 2 months ago

Posts: 7
Views: 8


Walkthrough: Using OpenTelemetry to trace a potential injection from input to final action.

Last post by Victor Costa, 2 months ago

Posts: 7
Views: 6


Sharing: A simple script that alerts on any agent output containing an IP address or API key pattern.

Last post by Logan D., 2 months ago

Posts: 2
Views: 7


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