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AI Governance

Build AI Governance That Keeps Pace With AI Adoption

AI is no longer just a productivity tool; it's a business-critical system that introduces real security, compliance, and operational risk. From generative AI and LLMs to autonomous agents and AI-powered SaaS tools, organizations are deploying AI faster than their governance frameworks can keep up.

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TBDCyber's AI Governance service helps you build the policies, controls, and oversight structures to use AI confidently, managing risk, satisfying regulators, and maintaining control as your AI footprint grows.

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Our Tailored Approach Can Include

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AI Inventory &
Risk Assessment

  • Discover and inventory AI systems, tools, and integrations across your organization, including shadow AI, vendor-supplied AI features, and autonomous agents that employees use without IT visibility.
     

  • Assess the risk profile of each AI system: data access, decision authority, regulatory exposure, and potential for harm or misuse.
     

  • Benchmark your current AI governance posture against NIST AI RMF, EU AI Act requirements, and industry-specific standards.
     

  • Identify gaps between how AI is being used and what your policies, contracts, and regulators require.
     

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AI Governance Framework Development

  • Design an AI governance framework scaled to your organization, covering acceptable use policies, model inventory management, vendor AI due diligence, and human oversight requirements.
     

  • Define tiered governance controls based on AI risk level, from low-risk productivity tools to high-risk autonomous decision-making systems,
     

  • Establish specific governance guardrails for agentic AI: approval workflows, scope limitations, action logging, and override controls for autonomous AI systems.
     

  • Align the framework with applicable regulatory requirements, including the NIST AI RMF, the EU AI Act risk categories, and emerging US federal AI guidance.

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Risk Management
& Mitigation

  • Identify and score AI-specific risks: data poisoning, prompt injection, model inversion, unauthorized data access via AI tools, and AI-accelerated social engineering.
     

  • Implement controls to prevent sensitive data from being ingested, trained on, or exposed through AI systems, including third-party LLMs and AI-powered SaaS.
     

  • Establish human-in-the-loop checkpoints for high-stakes AI decisions, and define escalation paths when AI systems behave unexpectedly.
     

  • Assess the cyber insurance implications of AI system failures and autonomous AI actions.

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Transparency, Explainability & Compliance

  • Build model documentation, audit trails, and explainability artifacts that satisfy regulatory and board oversight requirements.
     

  • Develop AI disclosure frameworks that define what your organization must communicate to customers, regulators, and auditors about how AI is used in decisions that affect them.
     

  • Map AI systems to EU AI Act risk tiers (prohibited, high-risk, limited-risk, minimal-risk) and implement required conformity assessments for high-risk systems.
     

  • Establish processes for employees to understand, challenge, and override AI-generated recommendations.

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Monitoring, Auditing
& Incident Response

  • Implement continuous monitoring of AI system behavior to detect model drift, unexpected outputs, policy violations, and anomalous agent activity.
     

  • Conduct periodic AI governance audits to verify controls remain effective as AI tools, models, and use cases evolve.
     

  • Develop an AI incident response plan: defining what constitutes an AI-related incident, how to contain autonomous AI actions that go wrong, and notification requirements.
     

  • Track and respond to the rapidly evolving regulatory landscape, updating your governance framework as EU AI Act enforcement timelines, NIST guidance, and US federal requirements develop.

Benefits

Structured Framework

Replace ad-hoc AI adoption with a governance structure that defines what AI can do, who approves it, and how it's monitored across GenAI, predictive models, and autonomous agents.

Reduced Risk

Mitigate AI-specific risks, including data leakage to LLMs, prompt injection attacks, autonomous agent failures, and regulatory penalties from non-compliant AI use.

Regulatory Readiness

Get ahead of the EU AI Act, NIST AI RMF, and emerging US federal AI requirements before they become audit findings or enforcement actions.

Increased Trust

Demonstrate to customers, partners, and regulators that your AI systems operate within defined guardrails,  building confidence that your AI adoption is responsible and controlled.

Your AI Is Already Moving. Is Your Governance Keeping Up?

Most organizations are deploying AI tools faster than their policies, controls, and oversight structures can follow. TBDCyber can help you close that gap, pragmatically and quickly, without slowing your AI adoption down. Talk to an AI Governance Expert→ today to learn more.

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