AI Governance & Compliance Services
Red Rabbit Security helps your business adopt AI responsibly — with the policy, model and data governance, risk management, and regulatory alignment to use AI confidently and defensibly.
What Is AI Governance?
AI governance is the framework of policies, accountability, and controls that ensures your organization uses AI responsibly, securely, and in compliance with regulation. It answers the questions every business now faces: which AI is approved, who is accountable, how are models and data managed, and how is risk controlled. Delivered as part of your broader AI business solutions program, governance lets you move fast on AI without moving recklessly.
AI brings genuinely new risks — data leakage into public models, biased or simply wrong outputs, and unsanctioned shadow AI — that traditional IT controls were never designed to handle. Governance gives you a defensible, documented way to capture AI’s value while protecting the business and satisfying customers, auditors, and emerging law.
Our AI governance and compliance services include:
- ✓AI policy and acceptable-use development
- ✓Model governance and oversight
- ✓Data governance for AI
- ✓AI risk identification and management
- ✓AI security monitoring integration
- ✓Alignment to NIST AI RMF, ISO 42001, and the EU AI Act
- ✓A prioritized AI governance roadmap
AI Policy & Acceptable Use
Most AI risk starts with a simple question employees cannot answer: what am I allowed to do with AI? We help you write clear, practical AI policy and acceptable-use rules — which tools are approved, what data may and may not be used, and what oversight applies — so your team can use AI confidently instead of guessing.
Our AI policy work includes:
- ✓Acceptable-use policy for AI tools
- ✓Approved-tool lists and request processes
- ✓Rules for what data may enter AI systems
- ✓Human-oversight and review requirements
- ✓Roles, responsibilities, and accountability
- ✓Employee guidance and awareness
- ✓Policy that evolves as AI and regulation change
Clear policy is what turns shadow AI into sanctioned, monitored AI. By telling people what good looks like, you reduce risky behavior far more effectively than by trying to ban AI outright — which rarely works and pushes usage underground.
Policy also has to be livable. A rule no one can follow is worse than no rule at all, because it teaches employees to ignore the policy entirely. We write guidance that fits how your people actually work, so following the rules is the path of least resistance rather than an obstacle to get around.
Model Governance
Whether you build, buy, or simply use AI models, you need to know what they are, what they do, and who is accountable for them. Model governance provides that oversight — an inventory of the models in use, their purpose and data, their performance, and the controls around them.
Our model governance covers:
- ✓Inventory of AI models and tools in use
- ✓Purpose, ownership, and accountability for each
- ✓Review of model data sources and suitability
- ✓Performance, drift, and quality monitoring
- ✓Controls for high-impact or high-risk models
- ✓Documentation and approval workflows
- ✓Retirement of models that should no longer be used
Without model governance, AI sprawls invisibly across a business until something goes wrong. With it, you have a clear, defensible picture of where AI is making decisions and whether those decisions can be trusted.
This matters most for the decisions that affect people and money — hiring, credit, eligibility, pricing. Those are exactly the use cases regulators care about, and exactly where an undocumented, unmonitored model can create real harm and liability. Governance ensures the high-impact models get the oversight they deserve.
Data Governance for AI
AI is only as trustworthy as the data behind it, and AI dramatically raises the stakes for data governance. We help you control what data can feed AI, how it is protected, and how sensitive information is kept out of prompts and training — tied into your broader compliance program.
Our AI data governance includes:
- ✓Rules for what data may be used with AI
- ✓Protection of sensitive and regulated data
- ✓Prevention of data leakage into public models
- ✓Data classification and handling for AI
- ✓Access governance for AI data and outputs
- ✓Retention and provenance considerations
- ✓Alignment with privacy and compliance obligations
The fastest way to turn an AI initiative into a breach is to feed it the wrong data. Strong data governance keeps your most sensitive information out of places it should never go, while still letting AI work with the data it legitimately needs.
It also protects you from a subtler problem: once sensitive data is used to train or fine-tune a model, it can be very hard to remove. Getting the data boundaries right before AI touches your information avoids irreversible mistakes that no amount of later cleanup can fully undo.
AI Risk Management
AI risk is broader than security alone — it spans accuracy, bias, privacy, legal exposure, and operational dependence. We help you identify, assess, and prioritize AI risk in a practical, business-focused way, so you address what actually matters rather than chasing every theoretical concern.
Our AI risk management includes:
- ✓Identification of AI risks across the business
- ✓Risk assessment and prioritization
- ✓Controls to reduce high-impact risks
- ✓Bias, accuracy, and reliability considerations
- ✓Privacy and regulatory risk
- ✓Vendor and third-party AI risk
- ✓Ongoing risk review as usage grows
Risk-based decisions are defensible decisions. By understanding where your real AI exposure lies, you can invest in controls that matter and confidently explain your choices to leadership, customers, and regulators.
AI risk is also not static. A model that was low-risk last quarter can become high-risk as you point it at new data or new decisions, so we treat risk as something to revisit regularly rather than assess once and file away.
AI Security Monitoring
Governance sets the rules; security enforces and watches them. We pair AI governance with continuous AI security and risk monitoring and our broader managed cybersecurity, so policy is backed by real detection and response rather than good intentions.
Our AI security monitoring integration includes:
- ✓Monitoring of AI usage and access
- ✓Detection of shadow AI and policy violations
- ✓Alerting on sensitive-data exposure to AI
- ✓Integration with your wider security operations
- ✓Investigation and response to AI-related incidents
- ✓Evidence of monitoring for audits
- ✓A feedback loop from monitoring into policy
When governance and security work together, your AI program is both well-designed and actually protected — the gap between the policy on paper and the behavior in practice is where incidents happen, and monitoring closes it.
Monitoring also gives governance teeth. A policy with no way to see whether it is being followed is just a suggestion; pairing it with visibility means violations are caught and corrected, and your documented controls reflect what is actually happening in the business.
Regulatory Alignment
AI regulation is arriving quickly, and customers and insurers increasingly expect responsible-AI practices. We help you align to the frameworks that matter so a single, coherent program satisfies many expectations at once.
We help you align to emerging AI standards and regulations:
- ✓EU AI Act — risk-based obligations for AI systems
- ✓NIST AI Risk Management Framework (AI RMF) — a practical, voluntary backbone
- ✓ISO/IEC 42001 — the AI management-system standard
- ✓Sector and privacy regulations that touch AI
- ✓Customer and contractual responsible-AI expectations
- ✓Cyber-insurance requirements around AI
- ✓Documentation and evidence auditors expect
Like other frameworks, these are outcome-based and broadly mapped, so aligning to one builds a foundation that supports the others. Red Rabbit Security is not a law firm and does not provide legal advice.
AI Governance Roadmap
Governance is a journey, not a single document. We turn assessment into a practical, phased roadmap with owners, milestones, and evidence — so AI governance matures deliberately rather than appearing all at once or not at all.
Our AI governance roadmap delivers:
- ✓A current-state assessment of AI use and risk
- ✓Prioritized gaps and quick wins
- ✓Phased policy, control, and monitoring rollout
- ✓Clear owners, timelines, and milestones
- ✓Evidence and documentation as you go
- ✓Periodic reassessment as AI scales
- ✓A measurable path from ad-hoc to governed AI
A roadmap keeps AI governance focused on what reduces real risk first, and gives leadership the visibility to invest with confidence as adoption grows.
Why Businesses Choose Red Rabbit
AI governance sits at the intersection of security, compliance, and technology — exactly where Red Rabbit Security works. We bring the policy, the controls, the monitoring, and the regulatory alignment together so AI governance becomes a working program, not a binder on a shelf.
What sets our AI governance apart:
- ✓One team for AI policy, security, and compliance
- ✓Practical, risk-based governance — not box-checking
- ✓Backed by real AI security monitoring and response
- ✓Alignment that leverages NIST AI RMF, ISO 42001, and the EU AI Act
- ✓Integration with your existing compliance program
- ✓Clear, audit-ready documentation
- ✓Right-sized for small and mid-sized businesses
The result is responsible, defensible AI adoption — backed by a team that treats your AI risk as seriously as you do.
Just as important, governance is what lets you say yes to AI. Businesses that govern well move faster, because leadership can approve new AI use cases knowing the guardrails are in place — while ungoverned competitors stall over risk they cannot measure or control.
Frequently Asked Questions
What is AI governance?
AI governance is the set of policies, processes, and controls that ensure your organization uses AI responsibly, securely, and in line with regulation. It covers how AI is approved, who is accountable, how models and data are managed, and how risk is identified and controlled — so AI delivers value without creating legal, security, or reputational exposure.
Why do we need AI governance and compliance?
AI introduces new risks — data leakage, biased or wrong outputs, shadow AI, and regulatory exposure — that traditional IT controls were not built for. Governance gives you a defensible, documented way to adopt AI confidently while satisfying customers, auditors, and emerging regulations. It is also what lets leadership approve new AI use cases quickly, because the guardrails are already in place.
What is shadow AI and why does it matter?
Shadow AI is the unsanctioned use of AI tools by employees — pasting sensitive data into public chatbots, for example. It is one of the fastest-growing risks because it happens outside IT visibility. Governance brings AI use into the open with policy, approved tools, and monitoring.
Do you help with the EU AI Act and NIST AI RMF?
Yes. We help you align your AI practices to frameworks such as the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001, mapping their expectations to practical policies and controls. We are not a law firm and do not provide legal advice.
What is model governance?
Model governance is the oversight of the AI models you build, buy, or use — tracking what they are, what data they use, how they perform, and who is accountable. It ensures models are appropriate, monitored, and retired when they should be.
How does AI governance relate to data governance?
Closely. AI is only as trustworthy as the data behind it. We help you govern the data that feeds AI — what can be used, how it is protected, and how sensitive information is kept out of prompts and training — alongside your broader compliance program.
Is AI governance the same as AI security?
They overlap but differ. AI governance is the policy and oversight layer; AI security and risk monitoring is the operational protection and detection. We deliver both so policy is backed by real controls.
How do we get started with AI governance?
Start with an assessment of how AI is used across your business today, then build a prioritized governance roadmap — policy, accountability, controls, and monitoring. Reach out through our contact page to begin.
Does this work with our existing compliance program?
Yes. AI governance extends your existing compliance and cybersecurity programs rather than replacing them, reusing your controls and evidence wherever possible.
Ready to Put AI to Work Safely?
Talk with the Red Rabbit Security team about adopting AI with the right guardrails, or explore our broader AI business solutions.