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Adrian vs numbat

Runtime security for AI agents: watches actions AND reasoning traces to catch prompt injection, tool poisoning and out-of-remit behavior — blocking before the action lands. SDKs + Claude Code plugin. — versus — Perplexity's endpoint sensor for AI agents: hooks, OTLP logs and on-disk session artifacts normalized into one CEL-matched event model, with opt-in pre-action blocking and offline forensics.

The curated verdict

Both do runtime security for agents, with opposite epistemologies. Adrian reads the reasoning trace to catch injection semantically; numbat is deterministic — CEL rules over a normalized endpoint event model, emitting versioned NDJSON and case bundles built for an incident responder.

Adriannumbat
Stars548960
Forks91101
LanguagePythonGo
LicenseApache-2.0Apache-2.0
Last activity4 days ago7 days ago
Topicssecurity, agentssecurity, agents
Curated connections54

Adrian — the curator's take

The interesting bet is judging reasoning traces, not just tool calls, against a working model of the agent's remit — the OpenAI/DeepMind-cited combo that catches what injection-trained classifiers miss. Know the deployment shape: the quickstart routes your agent's actions AND thoughts through their managed dashboard; self-hosting exists but is the longer path. Young (★460) and a startup's wedge product — run audit mode first and measure false positives on your own traffic before trusting block mode in production.

numbat — the curator's take

Think EDR, not guardrails: it sits on the endpoint and watches what the agents on that machine actually did — desktop, CLI, IDE and gateway surfaces alike. Two features earn it the slot. Forensic reconstruction reads session artifacts the agents already wrote, so you can investigate a laptop that never had numbat installed. And enforcement is deliberately awkward to enable: every shipped rule is monitor-only, and blocking requires copying the YAML into your own policy directory, keeping the id, adding `enforce: true` and bumping the version. NOT a prompt-injection classifier and NOT a gateway — it observes and optionally vetoes at supported synchronous pre-action hooks, so check the coverage matrix before assuming your agent has live capture.