Employees are deploying AI tools faster than security can review them, clients are asking how you govern it, and regulators are catching up. We help you get ahead of all three without slowing the business down.
AI showed up in your business through the side door. Marketing's using ChatGPT for first drafts, Engineering's running Copilot, Sales pasted client data into a tool nobody approved.
None of them are bad actors, they're just trying to move faster. But you can't govern what you can't see, and you can't pass an audit on what you can't prove.
Every month without an AI program is a month you're accumulating risk you can't quantify, audits you can't pass, and deals that go to competitors who can answer the question.
IBM Cost of a Data Breach Report 2025: shadow-AI-involved breaches cost organizations $670,000 more on average than incidents without it.
The legally binding deadline for Annex III high-risk AI systems. If you build, deploy, or sell to the EU, the clock has started.
IBM 2025: 97% of organizations that suffered an AI-related breach had no proper AI access controls in place. Visibility is the foundation.
Cyberleaf builds AI governance the same way we build cybersecurity programs: structured, scored, and tied to the standards your clients and regulators actually care about.
Built on NIST AI RMF 1.0
Every assessment maps to the four core RMF functions: Map, Measure, Manage, Govern, so leadership sees a defensible structure, not a checklist.
CMMI-Scored Maturity
You get a quantitative maturity rating per domain. No vague "needs improvement." A real score, a real gap, a real path forward.
End-to-End Ownership
Discovery through governance, on one team. We don't hand you a finding list and walk away, we help you operationalize it.
The path from "we don't know what's running" to "we have a defensible AI program" is shorter than most leadership teams think.
We discover every AI model, agent, and embedded capability in your environment—sanctioned, shadow, and vendor-introduced—and tie each to a use case, data flow, and owner.
A NIST AI RMF–aligned assessment delivers CMMI maturity scores across all four functions, plus a prioritized remediation plan tied to actual security and regulatory risk.
Policies, governance committee, decision rights, and the operating model behind them — built to hold up under audit and survive personnel changes.
Whether you're starting from zero or maturing an existing program, our AI Security & Governance practice covers the full lifecycle. Engage us for the full program or any single service.
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The result is a single source of truth for what's running, who's using it, and where the governance gaps sit, before they become an incident.
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Plus the operating model behind it, charters, RACI, escalation paths, and documentation that holds up under audit and survives personnel changes.
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We engineer the data layer feeding your AI: continuous scanning, classification, DLP, and sensitivity tagging, so models only see data they're authorized to process.
Access controls and data-flow guardrails map directly to NIST AI RMF subcategories, giving you traceable, audit-ready coverage from prompt to inference output.
Whether you're securing a single growing business, an MSP expanding into AI services, or a portfolio of companies, we deliver to how you actually work.
Your team is shipping AI faster than your security team can review it. We give you the program, the proof, and the policies — without an in-house AI security hire.
Your clients are asking about AI. Add a fully managed AI governance practice to your portfolio without building it from scratch or hiring AI specialists.
AI risk is portfolio risk. Standardize AI governance across portfolio companies to protect valuations, ensure compliance, and avoid surprise findings at exit.
