Who knew what, and who approved what, and when.
When a regulator or a court asks "who knew what, and who approved what, and when," the answer is usually scattered across ticket systems, email threads and slide decks. Reconstructing it is a project. Defending it is worse.
TruSecure logs every AI task and every human review action with identity, timestamp and outcome — one defensible chain, not scattered logs across systems. The trail is not a compliance afterthought; it is the mechanism that makes human-guided AI provable.
How it works
- Capture
Every AI proposal and every human decision is logged at the moment it happens — the action, the actor, the basis, the outcome.
- Attribute
Actors are named, authenticated identities. "The system decided" is not an entry that can exist in this trail.
- Seal
Approved records are integrity-sealed, so the trail demonstrates not just what was decided but that nothing was edited afterward.
- Export
The chain exports in auditor-ready form — the accountability evidence NIS2 Art. 20 and DORA expect, produced on demand rather than reconstructed under pressure.
What the trail looks like
Proposal, decision, seal — drawn as the log itself, not described. The human entry is the load-bearing one:
Including the decisions not taken
A trail that only records approvals is marketing. Rejections and amendments are logged with the same rigor — they are often the entries that matter most, because they prove a human actually reviewed the proposal rather than rubber-stamping it.
- 14:47 UTC · AI proposes
- AC-2 → NIS2 Art. 21(2)(i)
- 15:02 UTC · Human amends
- scope narrowed · reviewer
- 15:02 UTC · Human approves
- named reviewer on record
- 15:02 UTC · Record sealed
- sha256:7bd1…c902
The monitoring loop
continuous · every 6 hours- 01
01
Connect
Read-only connectors into AWS, Azure, GCP, on-premise.
AWSAzureGCPon-prem - 02
02
Collect
AI pulls compliance evidence every 6 hours — not at audit time.
every 6 h - 03
03
Detect
Gaps and control drift flagged the moment they appear.
24/7 - 04
04
Remediate
Routine fixes closed automatically; the rest routed to you.
auto - 05
05
Approve
A named person decides. The approval is the record.
logged
The 80/20 advantage. AI handles the tedium — evidence, testing, gap analysis, routine fixes. Your team keeps the interesting 20%: strategic decisions, policy exceptions, risk acceptance.