Professional Cyber Security Services
Policies, roles and processes that let your organization adopt AI with accountable oversight and a defensible position with regulators, customers and auditors.
In most organizations, AI use has spread faster than the rules that govern it. Employees use public AI tools with company data. Business units buy AI-enabled software without a security review. Development teams connect models to production systems. When a customer asks for your AI policy, or a regulator asks how you manage AI risk, the answer is often a patchwork.
The White Knight Labs AI Governance & Policy Framework service builds the structure your organization needs: clear ownership, practical policies, an inventory of AI use and a repeatable process for approving and monitoring AI systems. We design it to support innovation rather than block it, and to meet the expectations of frameworks such as ISO/IEC 42001, NIST AI RMF and the EU AI Act.
Roles and responsibilities for AI oversight, including an AI governance committee or working group, executive ownership, and the relationship with security, privacy, legal and risk functions.
An acceptable use policy for AI tools, an AI development and procurement standard, data handling rules for AI, and requirements for transparency and human oversight.
A register of AI systems and use cases across the business, including third-party tools, with owners, data types, risk ratings and approval status.
A tiered process for evaluating new AI use cases based on data sensitivity, autonomy, impact on individuals and regulatory exposure, with the right level of review for each tier.
Due diligence questions, contract clauses and ongoing monitoring requirements for vendors that provide AI models, platforms or AI-enabled services.
Metrics, reporting to leadership and periodic review of AI systems after deployment, including incident reporting and change management.
We begin by understanding how AI is used today and where the business wants to go. Through interviews and workshops with leadership, security, legal, privacy, engineering and business teams, we identify existing governance that can be reused and gaps that need new structure. Policies are written in plain language, sized to your organization and mapped to the frameworks you need to demonstrate.
We review existing policies, inventories and decision processes and interview key stakeholders.
We design the governance structure, policy set and risk process to fit your organization.
We draft policies, standards and templates and refine them with your stakeholders.
We help launch the program with training, communication materials and the first round of use case reviews.
AI governance charter and RACI
AI acceptable use policy and AI development and procurement standard
AI inventory template populated with known use cases
Use case risk assessment and approval workflow
Third-party AI due diligence questionnaire and contract clauses
Framework mapping to ISO/IEC 42001, NIST AI RMF and relevant regulations
Organizations that are adopting AI across the business, companies whose customers are asking for evidence of responsible AI practices, and teams preparing for ISO/IEC 42001 certification or EU AI Act obligations.
Our risk reduction strategy melds unparalleled technical acumen with a client-focused approach to deliver targeted, cost-effective, and accessible solutions that fortify your organization against the ever- evolving cyber threat landscape.
We leverage our cybersecurity expertise to safeguard your business integrity, ensuring you operate securely, move forward confidently, and build trust in an interconnected digital world.
We deploy cutting-edge cybersecurity measures and personalized strategies to offer unwavering data protection, reinforcing our commitment to preserving your company’s invaluable digital assets.
Reach out to us today and discover the potential of bespoke cybersecurity solutions designed to reduce your business risk.