Our approach to AI Policy Development ensures that organizations establish clear, effective, and compliant policies for managing AI systems. We help clients:

• Conduct Governance Maturity Assessments:

Evaluate current AI governance practices against regulatory requirements and industry best practices.

• Design and Develop AI Policies: 

Create tailored policies covering AI ethics, data management, model lifecycle management, and operational controls.

• Support Policy Implementation: 

Provide resources, training, and change management strategies to integrate AI policies into existing workflows.

• Establish Governance Frameworks: 

Develop robust frameworks, including AI oversight committees, accountability structures, and compliance monitoring processes.

Fire Mountain Labs offers Regulatory Compliance Assessments to help organizations identify and address compliance gaps in their AI systems. 

Our services include:

• Compliance Readiness Reviews:

Conduct comprehensive assessments of AI systems and processes against regulations like the EU AI Act and the NIST AI Risk Management Framework (RMF).

• Gap Analysis and Risk Identification: 

Evaluate AI governance, data management, and security practices to uncover potential compliance risks.

• Compliance Testing & Validation: 

Perform detailed compliance testing, focusing on data governance, model transparency, and AI system security.

• Audit Preparation & Support: 

Assist organizations in preparing for regulatory audits, including documentation review, evidence gathering, and regulatory response management.

We provide:

• AI Tabletop Exercises (AI TTX)

Simulate real-world AI security incidents to test and improve response strategies.

• Incident Response Plan Development

Build structured, AI-specific playbooks aligned with industry best practices.

• Risk & Threat Scenario Testing 

Identify gaps in AI security readiness through structured attack and failure scenarios.

• Compliance & Governance Alignment 

Ensure response plans meet regulatory requirements like the EU AI Act and NIST AI RMF.

• Continuous Improvement Strategies

Refine response strategies through iterative testing and lessons learned.

We help organizations reduce uncertainty, improve coordination, and strengthen AI security resilience.

Be ready before AI incidents happen — let’s build your response plan today.