ScrutinAIse records, attributes and reconstructs the actions of autonomous AI agents, so security, risk and audit teams can see what happened and show the evidence.
Autonomous agents read data, call tools, approve transactions and change systems. When something goes wrong, the question is no longer what the model said, but what the agent did and on whose authority.
The EU AI Act sets logging and record-keeping duties for high-risk systems and their deployers; NIST's AI Risk Management Framework and ISO/IEC 42001 expect demonstrable accountability. Logs you cannot reconstruct or attest do not meet that bar.
Observability tells you an agent was active. It rarely tells you why an action happened, whether it was permitted, or lets you hand a defensible record to an auditor, a regulator or a court.
A procurement agent is asked to order sixty laptops. Watch ScrutinAIse trace each step, pause the order for human sign-off, block one that exceeds the mandate, and seal a record that can be verified and investigated.
Recorded in the ScrutinAIse desktop application, using a scripted demonstration agent and sample data. The narration is AI-generated. Captions are available in the player.
AI agents no longer just answer questions. They approve payments, grant access and change systems. ScrutinAIse shows you exactly what they did, and proves it.
Here is how it works. A procurement agent is asked to order sixty laptops. Every action it proposes passes through ScrutinAIse before it can touch a system, and every step is recorded as it happens: what the agent said it was doing, which tools it called, and with what inputs.
The order comes to £48,900. Policy requires human sign-off above £25,000, so the agent is paused until a person decides. The approval, and the reason for it, become part of the record.
An order beyond the agent's mandate is not paused. It is blocked. Policies are versioned, so every decision shows the exact rules in force at the time.
When a run ends, its record is sealed. Every entry is hashed, chained to the one before it, and signed. Change a single detail, and verification fails.
An auditor can verify the evidence independently, without the application. And each run exports as an audit report, mapped to the EU AI Act, the NIST AI Risk Management Framework and ISO/IEC 42001.
In observe mode, nothing is stopped. The same order goes through without a human, and is flagged for review.
Any run can be reconstructed step by step. Each action carries its evidence: the agent, the authority it acted under, the rule that applied, and what it changed. The case file sets out the findings, the root cause and what to do next.
Already running agents built on Claude? Point them at the ScrutinAIse gateway, and they are recorded and checked without changing how they are built.
Transparency. Accountability. Audit. Investigation. ScrutinAIse: know what your AI agents did, and prove it. Request a demo at scrutinaise.com.
ScrutinAIse sits alongside your agents and captures a complete, attributable record of what they do, then turns it into audit evidence and investigation-ready timelines.
See every action
Know who acted, and on what authority
Turn records into evidence
Reconstruct what happened
The more an agent can do without a person in the loop, the harder it becomes to answer the questions that matter after an incident.
Monitoring shows you activity. Oversight proves what happened.
Built by investigators and researchers for the moment after something goes wrong, not only for the dashboard before it does.
Records are attributed, integrity-sealed and preserved with chain of custody in mind, so they hold up in audit, regulatory review and dispute.
Timelines, case files and root-cause views are core to the product, drawing on two decades of digital investigation practice in defence, financial services and global forensic consulting.
Founded on years of fundamental research in the UK into agentic AI security, digital forensics and AI governance, so the product keeps pace with how agents and the rules around them evolve.
Controls and reports map to the EU AI Act, NIST AI RMF and ISO/IEC 42001, so evidence you collect for security is the same evidence you present for compliance.
ScrutinAIse is being built to attach to agents wherever they live, without changing how they are built or where they run.
Grounded in UK research
Years of fundamental research in the United Kingdom
Every serious investigation comes down to one question: can you show exactly what happened, and can the record be trusted? Autonomous agents are about to make that question harder to answer, at a scale no organisation is ready for. ScrutinAIse exists so the answer is yes.
Lead researcher, ScrutinAIse
We are working with a small number of design partners who are deploying agents in regulated or high-consequence settings. Request a demo and tell us what you need to see, prove and investigate.
Prefer email? Write to info@scrutinaise.com. Security researchers: report vulnerabilities to security@scrutinaise.com.
If no email app opens, copy the request and send it to info@scrutinaise.com.