AI governance · audit · black-box recorder

The flight recorder for AI agents.

AgentBlackBox records what an AI agent saw, decided, requested, changed, blocked, and executed — and who approved it — into a tamper-evident, cryptographically chained audit trail you can prove to a customer, auditor, or regulator.

Open the dashboardView a sample audit report
18
Work units recorded
153
Chained events
2
Pending approvals
4
Mock integrations

What it does

AgentBlackBox sits between your AI agents and the systems they touch and records a complete, ordered, tamper-evident log of their behavior and the human approvals around it. Each work unit (a task an agent is handling) gets a timeline of events, a policy gate, optional human sign-off, and a one-click audit report.

Why AI agents need a black box

Autonomous agents now read inboxes, move money, change records, and message customers. When something goes wrong — or a customer, auditor, or regulator asks “what exactly did the AI do, and who approved it?” — you need a provable answer. A tamper-evident hash chain makes the record trustworthy: nothing can be quietly edited after the fact without detection.

Core features

Tamper-evident hash chain

Every event is SHA-256 hashed and linked to the previous one (prevHash → eventHash) from a GENESIS root. Any edit, insert, or delete breaks the chain and is instantly detectable.

Full agent activity timeline

Records what an agent observed, decided, requested, executed, blocked, or errored on — in order, with payloads.

Human approvals

High-risk actions gate on a human decision. Approvals and denials are themselves recorded as chained events.

Policy decision engine

Simulate any proposed action and get ALLOW, REQUIRE_APPROVAL, or BLOCK with the matched rules and a recommendation.

Audit reports

One-click, investor-ready audit report per work unit with executive summary, full event log, Print / Save as PDF, and JSON export.

Agent ingestion API

External AI agents POST events to /api/events with an API key. Mock connectors (Gmail, Slack, Drive, Browser) show the future surface.

Current MVP capabilities

  • ✓Dashboard with live work units, pending approvals, and high-risk events
  • ✓Work unit timelines with search + filters and live hash-chain verification
  • ✓Create work units; manually record events; record policy decisions
  • ✓Approve / deny flow that updates status and the chain
  • ✓Audit report with Print / Save as PDF and JSON export
  • ✓API key create / reveal-once / revoke; optional ingestion auth
  • ✓Organization, users, agents, and environment settings
  • ✓Mock integration framework with sample-event recording

Roadmap

  • →Real OAuth connectors for Gmail, Slack, and Google Drive
  • →Authentication, multi-organization tenancy, and role-based access
  • →Real-time streaming ingestion with anomaly + policy alerts

Demo flow

Walk the full loop in a couple of minutes:

1

Create a work unit

Start a new tamper-evident timeline for a task an agent is handling.

New work unit →
2

Simulate a policy decision

Run a proposed action through the policy engine to see ALLOW / REQUIRE_APPROVAL / BLOCK.

Open Risk Review →
3

Record an event

Add an observation, decision, or tool call — it chains onto the timeline.

Open a timeline →
4

Approve an action

Decide on a pending high-risk request; the decision is recorded as an event.

Open Approvals →
5

View the audit report

See the executive summary, full event log, and hash-chain status.

Open audit report →

AgentBlackBox is the governance and accountability control plane for AI agents—approvals, policies, audit evidence, identity lifecycle, and compliance in one system.

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→
Cryptographically signed, exportable compliance reports + retention policies
  • →Webhooks and SIEM / data-warehouse export
  • External OAuth integrations, billing, and banking are intentionally mocked in this MVP until credentials are configured.

    6

    Export JSON / print PDF

    Download the signed-style JSON record or save a clean PDF for an investor or auditor.

    Export / print →