Logo of PIC Standard: AI Firewall

PIC Standard: AI Firewall

Stop prompt injection from triggering tools in agentic AI.

PIC Standard: AI Firewall video preview

What PIC Standard: AI Firewall does

PIC Standard: Bridge the Causal Gap in Agentic AI

Imagine your AI agent, smart, autonomous, handling real tasks like booking flights or processing payments, suddenly goes rogue because of a sneaky untrusted input, like a manipulated prompt. That's the "causal gap": flawless reasoning leading to unintended disasters.

In a world where AI agents are exploding in use (think LangGraph or CrewAI), we need simple, reliable safety nets.

PIC Standard (Provenance & Intent Contracts) is an open-source protocol that makes agentic AI safer without the hassle.

Before any tool runs (ie. an API call or data sync), the agent must submit a JSON "proposal" that answers three key questions:

  • Provenance: Where did the data come from? (Trusted database? Semi-trusted API? Untrusted user input?)

  • Intent: Why this action? (Clear rationale to avoid mishaps.)

  • Impact: What's the risk? (A simple taxonomy: low like "read," medium like "write," or high like "money" for finances or "privacy" for personal data.)

If the proposal doesn't check out, boom, blocked automatically. No more accidents.

What sets PIC apart? It is inspired by advanced research like Google DeepMind's CaMeL (for secure dialogues) and RTBAS (for robotic safety), but built for everyday devs: Lightweight JSON schemas, a Python SDK you can pip-install, and drop-in integrations (ie. a single node for LangGraph workflows).

No custom interpreters or heavy dependencies, just practical guardrails.

New in v0.3.0: Verifiable Evidence! Now, trust is not just declared, it is proven.

Agents reference real artifacts (like files), and PIC auto-verifies hashes to catch tampering. For high-stakes actions, it fails closed: No verified proof? No go.

It ships with LangGraph and Anthropic's MCP (Model Context Protocol) integrations.

Whether you are in FinTech (securing payments), SaaS (protecting user data), or robotics (ensuring safe commands), PIC bridges those gaps elegantly.

It is Apache-2.0 licensed, extensible (add your own risk classes), and community-driven. Star, fork, or contribute!

Roadmap ahead: Signatures for endorsements (v0.4) and API attestations for external checks (v0.5).

Join the movement to make AI agents trustworthy.

Check it out: https://github.com/madeinplutofabio/pic-standard

Questions? Let's chat!

PIC Standard: AI Firewall pricing

PIC Standard: AI Firewall is free to use, with no paid version listed.

Is PIC Standard: AI Firewall legit?

Uneed can't vouch for PIC Standard: AI Firewall, but here is what it can check. Read the reviews and the site's terms before you pay or share personal data.

  • Maker: published by fabsalvadori, who has a public profile on Uneed.
  • Launched on Uneed on Jan 23, 2026, and still listed.
  • Community: Upvoted by 3 people, no review yet.
  • Website: github.com, Domain Rating 98 (DataForSEO).

What Uneed does not check: payments, refunds, or how PIC Standard: AI Firewall handles your data.

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Questions about PIC Standard: AI Firewall

PIC Standard: AI Firewall is a development product listed on Uneed, available for free. It's tagged with AI Agents, Development. See the best AI Agents products for related options.

What is PIC Standard: AI Firewall?

PIC Standard: AI Firewall lets you stop prompt injection from triggering tools in agentic AI.

Is PIC Standard: AI Firewall legit?

Uneed can't vouch for PIC Standard: AI Firewall. What it can check: PIC Standard: AI Firewall was launched on Uneed on Jan 23, 2026 by fabsalvadori and is still listed, upvoted by 3 people. Uneed does not check payments, refunds or data handling, so read the reviews and the site's terms before you pay or share personal data.

Is PIC Standard: AI Firewall free?

Yes, PIC Standard: AI Firewall is free to use.

What are alternatives to PIC Standard: AI Firewall?

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What category does PIC Standard: AI Firewall belong to?

PIC Standard: AI Firewall is listed under Development on Uneed.

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