Forensic Debugging and Compliance Infrastructure for AI Financial Agents
Blocklog runs alongside AI agents making financial decisions, capturing every execution to create a complete forensic record of what happened, why it happened, and how it can be proven.
From a single source of truth, Blocklog enables:
- 🔍 Forensic Replay — Replay AI decisions exactly as they occurred.
- 📊 Decision Provenance — Trace outputs back to the inputs, tools, and workflow state that produced them.
- ⏱️ Input Freshness Tracking — Measure how stale critical data was at decision time.
- 📋 Compliance Reporting — Generate auditor-ready evidence directly from production executions.
- 🔐 Tamper-Resistant Audit Trails — Cryptographically verify historical decisions.
Today's AI observability tools help engineers debug systems.
Governance platforms help organizations satisfy compliance requirements.
Blocklog bridges both worlds.
The forensic record engineers need to investigate failures is the same evidence regulators need to verify AI decisions. By capturing every decision in shadow mode, Blocklog serves engineering, security, risk, and compliance teams from a single, verifiable timeline.
| Project | Purpose |
|---|---|
| Blocklog | AI forensic replay and compliance platform |
| Sentinel | Human-in-the-loop approvals for high-risk AI actions |
| Traceflow | Cross-agent execution tracing |
| BlackVault | Agent identity, authorization, and execution security |
We believe every AI decision should be explainable, replayable, and auditable.
Blocklog is building the forensic infrastructure layer for autonomous financial systems.
Status: 🚧 Under active development.
