An IT audit trail you can hand to an auditor
When something changes on the fleet — a remediation runs, a policy shifts, a credential is revealed — the first question is always the same: who did that, and when? Monitic answers it with an immutable audit trail that records every mutating action on the platform, whether a human operator performed it or the AI assistant did. Not a debug log that happens to contain some answers, but a purpose-built who-did-what record that stands on its own when the auditor, the client, or the incident review asks.
Every mutation recorded — human and AI alike
Every operation that changes something leaves an entry: the actor, the action, the target, the time. That coverage extends to the platform's AI — when the assistant executes an action on the fleet, the audit trail records both the action and the human who directed it, so autonomy never means anonymity. As AI takes on more operational work, this is the difference between an assistant you can deploy and one you can't defend to a security review.
- Immutable entries for every mutating action across the platform
- AI actions carry dual attribution: what the AI did, and which operator directed it
- One trail for the whole platform — no stitching logs together from six separate tools
Reveal events, always logged
Reads are usually not worth auditing — but revealing sensitive data is not an ordinary read. Whenever a stored secret or credential is exposed to a human, Monitic writes a reveal event: who saw it, when, and which entry. The value itself never enters the log — only the metadata and the fact of the access — so the audit trail documents exposure without becoming exposure.
- Every reveal of sensitive data generates an audit entry, without exception
- Entries record metadata only — never the revealed value itself
- Access to secrets becomes reviewable history instead of an unknowable blind spot
Structured data, built for investigation
A trail you can read is good; a trail you can query is better. Each Monitic audit entry carries structured data with stable identifiers — device IDs, task IDs, entry IDs — so events join across the record. Start from a remediated control and walk to the task that fixed it; start from an operator and enumerate everything they touched in a window. Investigations become queries with answers instead of archaeology across log files.
The trail underpins the rest of the compliance story: compliance controls prove the fleet's state, one-click remediation proves findings were fixed, and audit logging proves who did all of it. It also anchors trust in the platform's AI capabilities — every AI-driven change is as accountable as a human one. Included in per-endpoint platform plans.
Works with
- Compliance controls — the evaluations whose outcomes the trail evidences
- One-click remediation — every dispatched fix, on the record
- Monitic AI — AI actions with full dual attribution
Make "who did that?" a solved question
Every action on your fleet, on the record, from day one of a 14-day trial. Start free trial or get a demo.
Frequently asked questions
Can audit records be edited or deleted?
No. The trail is immutable by design — entries are written once and preserved as written. An audit trail that can be revised after the fact is a narrative, not evidence.
Are AI actions audited the same way as human actions?
Yes, with one addition: AI-executed actions record both the action and the operator who directed the AI, so accountability follows the human decision, not just the mechanical execution.
Does the log ever contain passwords or secrets?
No. Reveal events record that sensitive data was accessed — actor, entry, time — but never the value itself. The trail documents exposure without duplicating it.
What makes the trail useful for investigations?
Structured audit data with stable identifiers. Because entries share device, task, and entry IDs, you can join events across the record and reconstruct a full sequence — who did what, in what order, on which machines.
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