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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.