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AgentInterdict
Your agent is one document away from a breach.
AgentInterdict is runtime enforcement for autonomous AI agents — interdicting unsafe action by verifying authority, tracking provenance, and revalidating at action time.
It started with an uncomfortable realization: I was giving my AI agents more memory, more tools, and more autonomy — while almost nobody was securing the boundary where context becomes action.
I kept seeing the same gap in every agent framework. A single poisoned document, a single malicious email, a single compromised web page could plant an instruction my agent would obey without question. My API keys, my credentials, my agent's integrity — all one bad retrieval away from being compromised.
The uncomfortable truth that pushed me over the edge: if you run an agent with memory and tools and no enforcement layer, you are one malicious document away from a breach. Not "maybe." One document.
So I built the thing I couldn't find: a local, open-source runtime that interdicts unsafe action before it executes — binds authority to origin, blocks credential leakage, quarantines memory poisoning, and revalidates every action at action-time.
And I made a deliberate choice about honesty. Most security tools claim 99.9% block rates. I ran 200 real injection attempts through mine and got 96.5% — and I published the 7 misses with their payloads, because a security tool that hides its misses isn't trustworthy.
It's free for personal/research use. The core that keeps your agent safe shouldn't be a paywall.
→ [github.com/BryanFiFife/AgentInterdict]
What attack vectors am I missing? I'd genuinely love the community's input.
About AgentInterdict on Product Hunt
“Your agent is one document away from a breach.”
AgentInterdict was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #116 on the daily leaderboard. AgentInterdict is runtime enforcement for autonomous AI agents — interdicting unsafe action by verifying authority, tracking provenance, and revalidating at action time.
On the analytics side, AgentInterdict competes within Open Source, Privacy, Artificial Intelligence and GitHub — topics that collectively have 597.2k followers on Product Hunt. The dashboard above tracks how AgentInterdict performed against the three products that launched closest to it on the same day.
Who hunted AgentInterdict?
AgentInterdict was hunted by Bryan Small. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AgentInterdict including community comment highlights and product details, visit the product overview.
Bryan Small