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Trust Centre

AI Incident & Escalation

Define what constitutes an AI incident, how it is triaged, contained, investigated and learned from.

Control areas

Incident classification

Document the applicable requirement, accountable owner, evidence and review cadence.

Immediate containment

Document the applicable requirement, accountable owner, evidence and review cadence.

Human override

Document the applicable requirement, accountable owner, evidence and review cadence.

Evidence preservation

Document the applicable requirement, accountable owner, evidence and review cadence.

Customer / stakeholder communication

Document the applicable requirement, accountable owner, evidence and review cadence.

Root-cause analysis

Document the applicable requirement, accountable owner, evidence and review cadence.

Corrective action

Document the applicable requirement, accountable owner, evidence and review cadence.

Post-incident review

Document the applicable requirement, accountable owner, evidence and review cadence.

Evidence-first approach

Trust claims should be supported by actual controls, records, configuration, testing or contracts. DataLgorithmics does not present unverified certifications or compliance statuses as facts.

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