⇄Processes

Business workflows, incident response, SOAR automation, and governance processes.

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⇄Processes Domain Handbook (v3.0)
Full v3.0 practitioner reference, Parts I–V, all 12 practices, 108-question assessment workbook with scoring methodology and improvement roadmap
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⚖ Governance

Strategy & Metrics (SM)

Stand up governance for business workflows with AI in the decision path, map where AI touches decisions, and baseline the metrics that prove ungoverned AI decisioning is shrinking.

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Policy & Compliance (PC)

Publish the priority compliance map and the minimum policy stack governing business processes with AI in the decision path, so every obligation reaches a named policy and a named owner.

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Education & Guidance (EG)

Give the business people who own processes with AI in the decision path the role-based AI security literacy and the practical guidance they need to make safe decisions without asking, in the Processes domain.

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⚒ Building

Threat Assessment (TA)

Publish an archetype-level threat library for the Processes domain, tagged to the HAI TTPs and MITRE ATLAS, so threat modelling starts from a reusable baseline rather than a blank page.

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Security Requirements (SR)

Publish a base security requirements pack per processes archetype, every requirement carrying a testable acceptance criterion, so teams inherit requirements rather than negotiating them.

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Security Architecture (SA)

Publish reference architecture patterns and an antipattern catalogue for each processes archetype, so the secure design is the default path rather than an achievement.

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✓ Verification

Design Review (DR)

Establish a two-lane design review for processes AI changes with a published checklist and service level, so review is predictable enough that teams route through it.

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Implementation Review (IR)

Review what was actually built against what was designed and required for processes AI assets, at go-live, with findings tracked to closure.

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Security Testing (ST)

Baseline a foundational security test battery per processes archetype that asserts the controls actually hold, and run it before every release.

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⚙ Operations

Issue Management (IM)

Run one backlog for processes AI issues with an AI-aware severity taxonomy and published service levels, so AI findings age and escalate like everything else.

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Environment Hardening (EH)

Publish and apply a hardening baseline for each processes AI archetype, so the operating environment enforces the controls rather than documenting them.

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Monitoring & Logging (ML)

Establish a logging baseline per processes archetype and a detection set covering the top threats, with retention set by the longest applicable obligation.

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