Cryptid Cyber
AI Governance
AI Governance
As organizations adopt AI tools across every department, the question quickly shifts from “should we use AI” to “how do we make sure AI adoption isn’t creating risks no one is tracking.” Our AI governance services help you build that structure.
Services include:
• AI use case inventory and mapping across your organization
• Risk assessment for AI systems, covering accuracy, bias, safety, and security considerations
• AI governance framework development aligned to standards such as the NIST AI Risk Management Framework and ISO/IEC 42001
• Policy development for acceptable use, approval workflows, and vendor evaluation
• Defined roles, responsibilities, and oversight structure for ongoing governance
Keep up with Evolving Regulation
AI regulation is moving faster than most organizations can track on their own — new laws, frameworks, and guidance are emerging at the federal, state, and international level, often with different applicability depending on your industry and how you use AI. We help you stay ahead of that curve rather than reacting to it.
Services include:
• Ongoing monitoring of relevant AI regulations and standards (e.g., EU AI Act, U.S. state AI laws, sector-specific guidance)
• Applicability assessments to determine which requirements actually apply to your organization’s AI use cases
• Gap analysis against current obligations, with recommended remediation steps
• Policy and documentation updates as the regulatory landscape shifts
• Periodic briefings to keep leadership informed of material changes
Ensure you Remain Secure in the Age of AI
AI tools introduce security considerations that traditional IT security programs weren’t built to address — from data leaving your environment through AI tools to new categories of risk like prompt injection. We help you understand and manage these risks without standing in the way of legitimate AI adoption.
Services include:
• Security risk assessments for AI tools and integrations, including data handling and vendor practices
• Identification and management of “shadow AI” usage across the organization
• Secure AI adoption guidance — evaluating vendor configurations, encryption, and access controls before approval
• Integration of AI considerations into existing security and compliance frameworks, including CMMC/NIST SP 800-171 for organizations handling CUI
• Employee training on safe AI usage and data handling practices
• Incident response planning that accounts for AI-related security events