AAISM directs organizations to embed security, safety, and compliance controls at design time (“secure-by-design” and “shift-left”), ensuring requirements for robustness, privacy, and governance are defined as non-functional constraints on architecture, data sourcing, model choices, and evaluation criteria before any model is trained. Deferring these requirements to training, testing, or deployment increases residual risk and rework, and weakens traceability of control coverage.
[References:• AI Security Management™ (AAISM) Body of Knowledge: Governance—Secure-by-Design; Policy-to-Control Traceability; Requirements Management• AAISM Study Guide: AI Program Lifecycle—Planning & Design Controls; Design-time Threat Modeling and Control Selection• AAISM Mapping to Standards: Design-phase Risk Identification and Requirements Engineering for AI, ===========]
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