AI Governance & Risk
Deploy AI Without
Deploying Risk.
Straife builds AI governance frameworks for regulated industries, government, and defense — ongoing advisory ensuring your AI deployments remain compliant, ethical, and auditable as the regulatory landscape evolves.
The Framework
AI Governance Built to Last
Policy & Standards Development
Drafting AI governance policies, acceptable use standards, model risk management frameworks, and data ethics guidelines tailored to your operating environment and regulatory obligations.
Regulatory Compliance Mapping
Jurisdiction-by-jurisdiction analysis of applicable AI regulations — EU AI Act risk classification, NIST AI RMF alignment, sector-specific rules (DORA, SR 11-7, EBA guidelines) — with a gap analysis and compliance roadmap.
Data Sovereignty Architecture
Advisory on data localization, cross-border data flows, and AI training data governance across the EU, GCC, APAC, and US regulatory environments — critical for multinational operators.
Ethical AI Guidelines
Development of ethical AI principles, bias monitoring frameworks, explainability standards, and human-in-the-loop requirements aligned to your industry and stakeholder expectations.
Board Oversight Structure
Designing the governance architecture that gives boards meaningful visibility into AI risk — reporting cadences, escalation protocols, and AI risk appetite frameworks at the enterprise level.
Incident Response Framework
AI-specific incident classification, response playbooks, notification requirements (regulatory, contractual), and post-incident review processes to minimize regulatory and reputational exposure.
Government & Defense
Purpose-Built for Government
& Defense Environments
Government and defense clients face AI governance requirements that commercial frameworks do not address — classified data environments, autonomous systems accountability, and national security-grade supply chain vetting. Straife’s team brings the background to navigate this terrain.
Classified Environment Considerations
Governance frameworks for AI deployment within classified or sensitive information environments — including data handling standards, access controls, and interoperability with national security IT infrastructure.
Autonomous Systems Governance
Policy frameworks and accountability structures for AI-assisted decision-making in defense and law enforcement contexts — addressing chain of command, algorithmic accountability, and international law compliance.
Supply Chain Security
Due diligence and ongoing monitoring frameworks for AI vendors and technology partners — addressing foreign ownership concerns, export control (EAR/ITAR) compliance, and supply chain integrity for government procurement.
National AI Strategy Alignment
Advisory on aligning institutional AI adoption with national AI strategies, defense innovation frameworks, and multilateral commitments — including NATO AI principles, EU AI Act government provisions, and US EO on AI.
The Engagement
Ongoing Advisory Model
AI governance is not a one-time project. Regulations evolve, AI deployments scale, and new risk exposures emerge. Straife’s retainer model provides continuous advisory coverage as your AI posture matures.
Month 1
Governance audit, policy gap analysis, regulatory mapping across all applicable jurisdictions.
Months 2–3
Framework drafting, stakeholder review, board presentation, and initial policy implementation.
Ongoing
Quarterly governance reviews, regulatory update briefings, incident response support, and annual framework refresh.
Retainer-Based
Engagement Format
Continuous
Regulatory Updates
Quarterly
Review Cadence
Get Started
Ready to discuss your AI strategy?
Let our team evaluate your current AI posture, regulatory exposure, and governance gaps — and build a framework designed to last.
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