AI AGENT FORENSICS
Every AI Agent Leaves a Trace
Forensic-grade audit trails for autonomous AI. Replay any incident, prove every action, and hand auditors evidence that verifies offline — no vendor trust required.
Available today: per-agent identity, HMAC-SHA256 hash-chained audit trail, DSSE + ECDSA-P256 signed session attestations, offline-verifiable evidence bundles. Building toward full forensic replay — read the v1.0 reference spec →
Building today? Start a free dev sandbox →
AI Identity is in early launch and actively seeking design partners. Get early access, shape the v1.0 spec, and lock in preferred pricing.
Part of
for StartupsAI Systems Create an Accountability Gap
Agents now act on behalf of your business — making decisions, calling tools, moving data, spending money. The audit layer wasn't built for this.
Autonomous Actions
Agents act in milliseconds. Humans review in days. The decision boundary has moved — your audit boundary hasn't.
Weak Attribution
Shared API keys. Service accounts. "The chatbot did it." When something breaks, you can't prove which agent, which prompt, which decision.
Unverifiable Logs
Mutable application logs. Vendor-controlled audit trails. "Trust us — we logged it." An auditor can't verify what they can't independently check.
Audit Exposure
EU AI Act. SOC 2. NIST AI RMF. ISO 42001. They're arriving with teeth — and you have no evidence layer to satisfy them.
The widening gap
Autonomous agent actions vs. traditional audit coverage
You can't hire your way out of this. You need an evidence layer that scales with the agents — not the auditors.
INCIDENT REPLAY
Replay Any Agent Incident
When something goes wrong, you don't need to guess. Scrub through the exact sequence — auth, policy, tool calls, blocks — and produce signed evidence regulators can verify offline.
--bundle sx_8f2a.dsse
Hash-chained · DSSE signed · verifies without contacting our servers
How verification works →Works across agent runtimes
Agent runtime is plumbing. Agent identity is the control plane.
HOW IT WORKS
Three Steps to Governed AI
From agent onboarding to continuous compliance -- get up and running in minutes.
Register Agents
Issue unique API keys to each AI agent with scoped permissions. Define what each agent can access, which tools it can call, and set rate limits.
- One API call to register — get a unique aid_sk_ prefixed key
- Scope permissions per agent: read-only, write, admin, or custom
- Set rate limits and spending caps before the agent goes live
- Keys are SHA-256 hashed at rest — shown once, never stored in plain text
CORE CAPABILITIES
Built for Enterprise AI
Per-Agent API Keys
Issue unique aid_sk_ credentials to every agent. Rotate, revoke, and scope permissions — zero downtime.
Forensic-Grade Audit Trails
HMAC-SHA256 hash-chained evidence for every agent action. Replay any session step-by-step. Produce tamper-evident timelines regulators can verify independently.
Compliance Dashboard
SOC 2, EU AI Act, NIST, and GDPR compliance monitoring with automated assessments and one-click reports.
Try the live demoSee It in Action
Walk through the full agent lifecycle — register, authenticate, enforce, and audit — in under 2 minutes.
SECURITY
Zero-Trust Agent Security
Enterprise-grade security designed for autonomous AI systems.
Scoped Permissions
Fine-grained access control for every agent. Limit tools, APIs, data access, and spending.
Define exactly which upstream APIs each agent can call, what data it can read, and how much it can spend. Permissions are deny-by-default — agents get nothing until you explicitly grant it.
Anomaly Detection
Real-time behavioral monitoring flags agents acting outside their defined boundaries.
The gateway tracks request patterns per agent — volume spikes, unusual endpoints, out-of-scope tool calls. Anomalies trigger alerts before damage is done, not after.
Key Rotation
Automatic credential rotation with zero-downtime deployment. Revoke compromised keys instantly.
Rotate keys with a single API call. Configurable grace periods let the old key work during rollover so agents never drop a request. Compromised? Revoke immediately — all in-flight requests on that key are rejected.
Human-in-the-Loop
Configurable approval gates for high-risk actions. Agents pause and wait for human review.
Tag specific actions as requiring human approval — financial transactions, data deletions, external communications. The agent pauses mid-execution and waits for a reviewer to approve or reject before proceeding.
COMPARISON
Why AI Identity Over Others
See how purpose-built agent infrastructure compares to DIY or generic solutions.
- Per-agent keys with deny-by-default gateway
- Tamper-proof audit chain — cryptographically verifiable
- One API call to register, rotate, or revoke
- Built-in compliance engine (SOC 2, EU AI Act, NIST)
- Forensic replay of any agent session
- Shared API keys or manual token management
- Mutable logs with no tamper-proof guarantees
- No chain-of-thought capture or forensic replay
- Human IAM tools retrofitted for agent workflows
- Enterprise-first pricing and 6-month sales cycles
Traditional IAM platforms like Okta are adding agent identity features — but they're extending human-first architectures. AI Identity is built from the ground up for autonomous agents: cryptographic audit chains, chain-of-thought forensics, and a developer-first API you can integrate in minutes, not months.
FORENSICS
AI Agent Forensics
Replay any agent session step-by-step. Produce a tamper-evident timeline regulators can verify independently of the vendor. No other platform can make this claim.
Chain-of-Thought Logs
Capture every reasoning step. See why an agent chose a tool, what data it read, and how it reached its conclusion.
Offline Verification
Auditors verify evidence with an open-source CLI. No API key. No network call to us. The math is the trust.
Root Cause Analysis
Automated incident investigation traces failures back to the originating event. See the full chain — trigger, escalation, resolution.
The Four Pillars of AI Agent Governance
Most solutions cover one or two. AI Identity covers all four.
| Pillar | Core Question |
|---|---|
| Identity | Who is this agent? |
| Policy | What is it allowed to do? |
| Compliance | Can we prove rules were followed? |
| Forensics | What happened, provably? |
Technology in Service of People
AI Identity was created to solve a technical problem, but not only a technical problem. Behind the infrastructure is a deeper motivation: helping organizations use AI in ways that are responsible, auditable, and genuinely useful to people.
✶ A portion of AI Identity's business sales will be directed to organizations working with people and communities in need. As the company grows, we want the business itself to be a small force for good. ✶
Close Your Accountability Gap
We're bringing on a small cohort of design partners to validate AI Forensics in production. Get hands-on with the platform, help shape the v1.0 spec, and lock in preferred pricing.
Building today? Spin up a free dev sandbox →