AI AGENT SECURITY & BEHAVIORAL GOVERNANCE

The runtime security and active-defense platform for AI agents

BUILT FOR CLAUDE CODE · CURSOR · CODEX · MCP

BUILT FOR CLAUDE CODE · CURSOR · CODEX · MCP

THE FFAX PLATFORM

Four layers of defense, one decision engine

ACTION LOG & REPLAY

Every action, with the full story behind it

Which file it read, which command it ran, which domain it called: all logged locally. Every blocked action comes with its context, down to the input that led the agent there.

WORKS ACROSS AGENTS

One policy layer for Claude Code, Cursor, Codex and MCP

DESIGN PARTNER PROGRAM

Join as a design partner and shape the product with us

Design partner

Free

during the 6-week demo

Runtime security for AI coding agents, built for mid-size engineering teams. Local-first, with an open-source client.

Open-source client that runs locally

Action log that never leaves your machine

Three default policies out of the box

Decoy layer: fake credentials and honeypot tools

One-page console with live actions and alerts

Self-hosted deployment for teams

WHY FFAX

Built for security teams, invisible to developers

Local-first

Logs and policies stay on the developer’s machine. Code and prompts never leave.

Five-minute setup

One command detects and connects your agents, with default policies ready to go.

Self-hosted

The team edition runs inside your network, with no third-party cloud in the path.

Open-source client

Auditable code, built in the open on GitHub.

Cross-vendor

One event format and one policy set for Claude Code, Cursor and Codex.

Deterministic alerts

Decoys fire on touch, not on a model’s guess. Zero false positives.

ROADMAP

The first six weeks: a live demo of a blocked attack

  • Claude Code hook integration and a full action log for every tool call.

    Weeks 1–2

    Observe

  • Three core policies: block credential reads, block unknown domains, approve deletes.

    Weeks 2–3

    Control

  • Decoy layer: fake AWS keys and a honeypot MCP tool that alert on first touch.

    Weeks 3–4

    Deceive

  • A one-page console with a live action stream and alerts.

    Weeks 4–5

    Console

  • Demo script, screen recording and installs at three design-partner teams.

    Weeks 5–6

    Ship the demo

  • Then: M1 Observe, M2 Control, M3 Decoys and code audit, M4 Ready to sell.

    After the demo

    Milestones M1–M4

  • Claude Code hook integration and a full action log for every tool call.

    Weeks 1–2

    Observe

  • Three core policies: block credential reads, block unknown domains, approve deletes.

    Weeks 2–3

    Control

  • Decoy layer: fake AWS keys and a honeypot MCP tool that alert on first touch.

    Weeks 3–4

    Deceive

  • A one-page console with a live action stream and alerts.

    Weeks 4–5

    Console

  • Demo script, screen recording and installs at three design-partner teams.

    Weeks 5–6

    Ship the demo

  • Then: M1 Observe, M2 Control, M3 Decoys and code audit, M4 Ready to sell.

    After the demo

    Milestones M1–M4

  • Claude Code hook integration and a full action log for every tool call.

    Weeks 1–2

    Observe

  • Three core policies: block credential reads, block unknown domains, approve deletes.

    Weeks 2–3

    Control

  • Decoy layer: fake AWS keys and a honeypot MCP tool that alert on first touch.

    Weeks 3–4

    Deceive

  • A one-page console with a live action stream and alerts.

    Weeks 4–5

    Console

  • Demo script, screen recording and installs at three design-partner teams.

    Weeks 5–6

    Ship the demo

  • Then: M1 Observe, M2 Control, M3 Decoys and code audit, M4 Ready to sell.

    After the demo

    Milestones M1–M4

FREQUENTLY ASKED QUESTIONS

What teams ask before getting started

How is FFaX different from a security scanner?

Does FFaX run locally on my machine?

Which coding agents does it support?

Why do decoy alerts have zero false positives?

Will it slow my agents down?

Is the client open source?

Where is the product today?

How do I get involved?

How is FFaX different from a security scanner?

Does FFaX run locally on my machine?

Which coding agents does it support?

Why do decoy alerts have zero false positives?

Will it slow my agents down?

Is the client open source?

Where is the product today?

How do I get involved?

Keep your AI coding agents in check.