Prove every AI decision is compliant.Before the regulator asks.
Aegis Trace gives regulated industries a tamper-evident audit trail for every AI-driven decision, capturing the inputs, the reasoning, and the outcome at the moment it happens.
When the regulator asks for evidence, you already have it.












Trusted by key partners in regulated industries
Aegis Trace
The traceability platform that gives compliance, audit, and risk teams a complete, defensible record of every AI decision your firm makes, ready the moment a regulator asks.
- Stands up to regulatory scrutiny
- Maps to FCA, EU AI Act, MiFID II
- Complete evidence for every decision
Atlas
Every decision mapped against 177 regulatory regimes across 35 jurisdictions, you always know which rules apply, and what they demand.
Medusa
Prove data sovereignty per client, PII redacted before anything leaves their network.
Hades
Fire realistic test decision traces at the platform and watch certificates resolve in real time.
Prometheus
Connect your AI systems through an MCP server, every decision captured as it happens and all data accessible via MCP.
Cerberus
A self-learning compliance agent that keeps our coverage current as regulations change.
One platform for every AI decision. End-to-end coverage across regulated industries
From AI decision to compliance evidence. In every regulated context.
Aegis Trace provides complete decision provenance for every regulated industry where AI systems influence outcomes that must be evidenced. The same API, the same certificate format, the same tamper-proof audit trail.
An AI suitability engine recommends reducing a client's position. Six months on, the FCA asks why. The signed certificate is already there.
A robo-advisory platform serving clients across multiple jurisdictions evidences every automated recommendation against each region's regime, one API, many regulators.
A large institution runs AI everywhere, coding assistants in engineering, copilots across the workforce. Every AI-influenced decision is captured, so internal AI adoption stays evidenced and defensible.
An automated underwriting model declines a policy. The applicant invokes their GDPR Article 22 right to an explanation. The record is ready.
An insurer automating underwriting and contract review at scale evidences each AI-assisted assessment, every decline, every flagged clause, without slowing the desk.
An AI credit model declines a mortgage. The borrower appeals. One signed decision record, full provenance, defensible.
Every AI decision, captured and provable
without changing how your teams work
- Tamper-proof evidence
- Maps to FCA & EU AI Act
- PII redacted at source
- Independently verifiable
- Ready when the regulator asks
Prove AI compliance before regulators ask.
Regulation, accountability, and the evidence behind every AI decision.
Anatomy of a tamper-evident decision certificate: how cryptographic audit trails and trusted timestamping work
A vendor-neutral, technical explainer of what makes a record of an AI decision defensible: content hashing, append-only chaining, digital signatures, and trusted timestamping. Written for engineers and compliance teams who need to understand the building blocks.
From Article 22 to 22A-22D: what the Data (Use and Access) Act changes for automated decisions
The UK has reshaped the rules on solely automated decision-making. The general prohibition gives way to a permission-with-safeguards regime for "significant decisions". Here is what changes, what stays, and why the evidential burden grows rather than shrinks.
You can delegate the decision, not the accountability: AI and the SM&CR reasonable steps test
Under the Senior Managers and Certification Regime, accountability for what happens in a business area is personal and cannot be handed to a model. As AI takes on more decisions, the "reasonable steps" defence depends on evidence a senior manager can actually produce.