Zero Trust Engineering — Workload and application detection

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Visibility and analytics engineering reference for workload and application detection, including policy, logical interfaces, recovery and assurance.

Purpose: Workload and application detection. Domain: Visibility and analytics. Family: assurance. Scenario trigger: Analyze application runtime for compromise or abuse. Input assurance: Workload identities, code telemetry and application request traces. Evaluation: Detect abnormal execution and policy-evasion indicators. Governing policy: Application runtime threat detection and alert policy. Resource-side obligation: Emit workload containment recommendation and case evidence. Protected concern: Application security monitoring service. Logical interface: Workload image service event anomaly rule and confidence. Evidence: Workload request anomaly trace and detection outcomes. Failure: Telemetry suppression or application compromise without signature. Required recovery: Escalate behavioral investigation and enforce compensating controls. Architectural invariant: Runtime detection must preserve workload identity and activity correlation 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