AI Governance
AI Governance

Governing AI Across the Digital Anatomy

CCF doesn't just assess the AI tool — it evaluates the impact of AI across the full enterprise digital anatomy. From data exposure to autonomous agents, CCF provides a clinical governance model for the AI era.

AI Risk Framework

Eight AI Risk Domains

CCF evaluates AI risk across eight enterprise dimensions — far beyond tool usage policies.

AI as the Enterprise Nervous System

AI tools now permeate every business function — from HR to finance to security operations. CCF evaluates AI not as an isolated tool, but as a distributed system affecting the entire enterprise anatomy.

Data Exposure Through AI Workflows

Employees using AI tools often expose sensitive data without awareness. CCF assesses data flow through AI systems, vendor data retention policies, and inadvertent data leakage pathways.

Model Governance & Auditability

AI models must be inventoried, governed, and auditable. CCF evaluates model documentation, version control, bias assessment, and explainability requirements.

Human Oversight of Autonomous Agents

As AI agents gain autonomy in security operations and business workflows, CCF assesses human oversight mechanisms, kill switches, and escalation protocols.

Vendor AI Risk Review

Third-party vendors increasingly embed AI into their products. CCF evaluates vendor AI governance, data handling practices, and contractual protections.

AI in Security Operations

AI-assisted SOC operations accelerate detection and response — but introduce new risks. CCF evaluates AI SOC maturity, false positive rates, and human-AI collaboration models.

Prompt & Interface Risk

Prompt injection, jailbreaking, and interface manipulation represent emerging AI attack vectors. CCF includes evaluation of AI system hardening and input validation controls.

Ethical & Responsible AI Use

CCF includes governance assessment of AI ethics policies, acceptable use frameworks, bias mitigation, and diversity considerations in AI system design.

AI Readiness Assessment

Eight Dimensions of AI Governance Readiness

1
AI Governance Maturity
Formal policy, ownership, and oversight structure
2
Approved AI Use Cases
Inventory of sanctioned AI tools and workflows
3
Data Exposure Assessment
Data flows through AI systems and vendor environments
4
Vendor Controls Review
Third-party AI vendor risk evaluation
5
Human Oversight Mechanisms
Escalation protocols and autonomous agent limits
6
Model Auditability
Documentation, versioning, and explainability
7
Policy Enforcement
Technical and procedural controls for AI use
8
AI Incident Response
Protocol for AI-related failures and misuse incidents
AI Governance Services

Available AI Governance Engagements

CCF AI Governance Snapshot
Quick Start

A rapid 2-hour workshop and questionnaire producing an AI governance maturity score and top recommendations.

CCF AI Risk & Wellness Assessment
Full Assessment

A comprehensive evaluation of AI exposure, governance maturity, vendor risk, and autonomous workflow oversight.

CCF AI Governance Framework Implementation
Advisory

Advisory support for building an enterprise AI governance framework aligned with CCF methodology.