Zero Trust Engineering — Identity and entity behavior analytics

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Visibility and analytics engineering reference for identity and entity behavior analytics, including policy, logical interfaces, recovery and assurance.

Purpose: Identity and entity behavior analytics. Domain: Visibility and analytics. Family: assurance. Scenario trigger: Evaluate unusual behavior by a human or machine identity. Input assurance: Authenticated identity activity, session history and population baselines. Evaluation: Estimate anomalous behavior with explained confidence. Governing policy: Behavior analytic model governance and response policy. Resource-side obligation: Publish bounded identity risk signal for independent policy evaluation. Protected concern: Identity and entity security analytics. Logical interface: Entity identifier feature windows model version score and confidence. Evidence: Risk feature lineage score confidence and analyst disposition. Failure: Model drift, poisoned baseline or spurious anomaly. Required recovery: Lower confidence and require supervised analysis. Architectural invariant: Probabilistic risk scores are inputs, not self-executing access grants Adoption: replace reference roles with concrete owner-controlled services. Specify exact provider/consumer identities, schema fields and classifications, signal provenance and freshness, idempotency, authorization lifetime, timeout/retry limits, observation and tamper evidence. A denied or failed operation must not silently become a permitted one. Scope: original vendor-neutral, implementation-agnostic technical reference model. Illustrative logical components and behaviors are neither a deployed system nor evidence of regulatory compliance. Package identities remain stable within the package; cross-package semantic reconciliation requires separate explicit registry support.

Curated · other · unspecified · Published by Lattix · 29 elements · 33 relationships · validated on publish