AI Systems Assurance with Brutor — Part 6: Run it and watch Brutor learn
Brutor AI
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AI Systems Assurance with Brutor — Part 6: Run it and watch Brutor learn
3 просмотра · 7 дн. назад
Brutor AI
4 подписчика
3 просмотра · 7 дн. назад
Start the agent and watch the run ledger fill: one row per application, the delegated fraud screening as a segment of the run, and the agent's declared release on every run. One run is laid over the composition graph, action by action. Brutor learns the system's normal from its own runs, judges liveness on the rhythm it learned, names the likely cause of each finding, and honors how a person closed it; an underwriter decides a held decision in the User Portal.
Chapters
00:00 Introduction
00:32 What this part covers
00:51 Every call becomes a run
01:24 One row per task, and who did each part
02:04 Normal is learned from the system's own runs
02:45 Alive means answering
03:26 A finding says what moved, when and why
04:10 A person closes a finding
04:48 A held decision waits for a person
05:23 The runs list and the release
05:49 One run on the composition graph
06:19 Inspecting a run with a delegation
06:40 Run details
07:06 Liveness
07:28 Learned baselines
07:55 Signals and dependencies
08:22 Closed findings
08:49 Incident windows
09:13 An underwriter decides a held decision
09:47 The approved decision, applied
Documentation
The run ledger: https://docs.brutor.ai/assurance/run-...
How Brutor learns: https://docs.brutor.ai/assurance/how-...
Liveness: https://docs.brutor.ai/assurance/live...
Behavioural drift: https://docs.brutor.ai/assurance/drift/
Tool Approvals: https://docs.brutor.ai/governance/app...
Agent implementation & releases: https://docs.brutor.ai/governance/age...
Try Brutor free (download the trial): https://trial.brutor.ai
The Brutor Demo System (source): https://github.com/brutor-ai/brutor-d...
Brutor: https://www.brutor.ai
Part of "AI Systems Assurance with Brutor", an introduction plus eight parts on one real system, the Brutor Demo System. Brutor is the AI control plane for AI systems assurance. Everything in the demo is synthetic: it shows the evidence, oversight and documentation mechanisms a real deployment would rely on and does not claim conformity with any law.