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Audit infrastructure for AI agents: append-only event logs, reliability signals, HMAC-signed attestations, and human review queues.

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Sigmodx

Sigmodx is audit infrastructure for AI agents.

AI agents take real actions — moving money, calling tools, changing systems. Sigmodx records those actions as tamper-evident audit events and turns them into verifiable proof of what happened, so agent behavior can be proven, not just claimed.

🌐 sigmodx.com · Patent Pending · U.S. Application No. 64/040,964

Overview

Sigmodx provides a repeatable audit architecture for agent-driven systems:

  • Audit scenarios — pre-built, repeatable audit programs covering common agent risk areas, implemented across database, API, UI, and SDK.
  • Append-only event log — every agent action is recorded immutably; history cannot be rewritten.
  • Reliability signals — per-scenario signals computed from the event record.
  • Attestations — HMAC-signed audit attestations that third parties can verify independently.
  • Review queues — human oversight workflows for flagged agent activity.
  • Tenant controls — strict organization isolation with cross-org safeguards.

How it works

  1. Emit — Agents and apps send audit events via the API or SDKs. Payloads are hashed client-side (SHA-256) before transmission.
  2. Record — Events land in an append-only store with integrity hashes; API keys are stored hashed.
  3. Evaluate — Reliability signals are computed per audit scenario.
  4. Attest — Signed attestations are generated for completed audits.
  5. Verify — Anyone can independently verify attestations and the event record without trusting Sigmodx infrastructure.
  6. Review — Flagged activity surfaces in human review queues.

Integrations

  • SDKs: Python and TypeScript
  • Agent frameworks: LangChain, LangGraph, CrewAI, OpenAI Agents
  • MCP server for tool-based agent access
  • Public verification endpoints and pages

Cryptographic guarantees

  • Client-side SHA-256 payload hashing — event contents are hashed before they leave the client.
  • Append-only enforcement — at the database and application layers; historical records cannot be modified or deleted.
  • HMAC-signed attestations — audit results carry signatures verifiable by third parties.
  • Hashed API keys — keys are never stored in recoverable form.
  • Deterministic serialization — identical data always hashes identically, regardless of system or ordering differences.

Technology stack

Frontend:

  • Next.js (App Router)
  • React
  • Tailwind CSS

Backend:

  • FastAPI
  • Supabase (PostgreSQL with Row Level Security)
  • Redis (caching and task queue)

Deployment:

  • Vercel (frontend)
  • Railway (backend)

Design principles

Append-only governance: Historical data cannot be modified or deleted. All changes are additive, creating an immutable audit trail.

Tenant isolation: Organizations operate in strict isolation. Cross-organization access is denied by default at every layer.

Cryptographic verifiability: Audit results can be independently verified through hashes and signatures. Third parties can verify integrity without relying on Sigmodx infrastructure.

Human oversight: Automated signals inform, but flagged activity is always reviewable by humans before it becomes a finding.

Repository status

This public repository is a showcase snapshot. Active development happens in private repositories; public snapshots are refreshed periodically and may lag the live product at sigmodx.com.

License

MIT — see LICENSE.

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Audit infrastructure for AI agents: append-only event logs, reliability signals, HMAC-signed attestations, and human review queues.

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