Draft a Master Test Plan outlining security penetration and resilience testing for containerized AI inference workloads in edge computing nodes

Generate draft a master test plan outlining security penetration and resilience testing for containerized ai inference workloads in edge computing nodes for Computer Systems Design and Related Services industry

Computer Systems Design and Related Services

Agent Configuration

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Allowed: TAR, TAR.GZ, TGZ, YAML, JSON, JSONNET, DOCKERFILE

Max size: 100MB

Container images, Dockerfile(s), Helm charts, or OCI-compliant image archives for the AI inference workloads to be tested
Specify the type of edge-node hardware and OS baseline on which the inference will run
Select compliance regimes that the AI model and its data path must satisfy
Intended consumer(s) of the Master Test Plan for sign-off and execution oversight
Concise STRIDE or CVSS-based scoping statement listing key threat actors, attack surfaces, and protecting data/assets (or link to existing TM)
Minimum CVSS score that must trigger documented remediation or exception tracking
High-touch gates that must be evidenced (include approval templates, document IDs, and external reviewers)
Deliverable structure expected by your organization or client

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Allowed: PNG, JPEG, SVG, GRAPHML, DRAWIO

Max size: 15MB

Optional environment blueprints, diagrams, or deployment manifests illustrating physical/logical connectivity for contextual scoping