Zero Trust Engineering — Information usage and exfiltration detection

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Visibility and analytics engineering reference for information usage and exfiltration detection, including policy, logical interfaces, recovery and assurance.

Purpose: Information usage and exfiltration detection. Domain: Visibility and analytics. Family: assurance. Scenario trigger: Detect anomalous access to classified information. Input assurance: Data labels, requesting principal, export activity and destination. Evaluation: Assess volume, purpose deviation and exfiltration patterns. Governing policy: Information behavior detection and alert handling policy. Resource-side obligation: Raise verified misuse signal and trigger rights reassessment. Protected concern: Enterprise data protection analytics. Logical interface: Object class destination subject action volume and risk rationale. Evidence: Sensitive access event data tag and suspected export trail. Failure: Missing data tags or false exfiltration signal. Required recovery: Restrict export and request independent owner determination. Architectural invariant: DLP actions must incorporate data classification and legitimate purpose 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