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AISCF - AI Security Control Framework

Framework translating governance requirements into structured, versioned, testable controls linked to evidence.

Period
2026
Status
R&D
Role
Verifiable control design

Context and scope

Framework translating governance requirements into structured, versioned, testable controls linked to evidence.

Work performed

  • Express a security objective independently of a product, model or provider.
  • Distinguish control deployment, observed operation and effectiveness.
  • Define tests, expected evidence and criteria supporting review and risk decisions.
  • Govern versions, profiles, exceptions and changes while preserving their rationale.

Documented deliverables and outcomes

Common control structure; test/evidence principles; exception management; publicly scoped profiles and mappings.

Scope of outcomes

The reviewed public documents describe the work and deliverables above. They do not provide a quantified before/after series supporting a risk-reduction percentage here.

Methods and tools

Security Controls · Assurance · Evidence · Testing · Exceptions · Lifecycle

Public scope

Client data, exploitable configurations and proprietary mechanisms remain excluded from this presentation.

Last reviewed: 26 October 2026

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