Cyber Sentinels
Preparing the authorized workflow view. No trust state is inferred while data is loading.
Draft policy — requires legal review before production use.
Cyber Sentinels governs AI execution inside authorization-aware, evidence-backed enterprise workflows.
AI agents and assistive models operate within approved workflow purpose, delegated authority, provider policy and data-classification boundaries. Runtime actions remain attributable to accountable enterprise ownership.
AI-assisted actions should retain the actor, workflow, authorization state, evidence context, provider decision and operational outcome required for replay and review.
Trust posture can evolve, decay, escalate, recover or require reverification as runtime context, evidence and authorization change. Posture informs review; it is not an automated verdict.
Cyber Sentinels does not rely solely on automated decision-making for high-risk trust outcomes. Human review, escalation and evidence verification are part of the governance posture for sensitive decisions.
AI-supported outputs should be understandable, reviewable and connected to source material where possible. Operators should be able to see whether an answer, summary or assessment came from approved knowledge, workflow data or human review.
AI analysis can be incomplete, uncertain or incorrect. It should not be treated as a guarantee of identity authenticity, fraud prevention, trustworthiness or regulatory compliance.
The platform recognizes risks including over-reliance, biased or incomplete context, automation drift and unclear accountability. Governance controls should reduce these risks through evidence-backed review and auditability.
Cyber Sentinels keeps AI execution subordinate to enterprise policy and accountable people. High-risk outcomes require visible authorization, evidence verification, escalation and review paths.
Customer-owned operational memory, restricted-data controls and provider-agnostic governance keep enterprise policy stable when AI providers change. Provider-specific guarantees must be verified before sensitive processing.
Where a trust assessment affects access, status or review outcomes, users may need practical routes to request review, correction or deletion according to applicable policy and legal requirements.