AI Security & Governance

Put AI to Work without Adding Security, Privacy, or Compliance Risk

Strategy, implementation, governance, and continuous assurance from one accountable partner, for organizations where the frameworks are strict and the data is regulated.

ISO/IEC 42001NIST AI RMFEU AI ActSOC 2HITRUST CSFHIPAAGDPR
Why now

AI Adoption Is Outrunning AI Governance, and the People Who Sign off Are Asking for Evidence

ISO/IEC 42001 is turning up in RFPs as table stakes. The EU AI Act adds obligations for anyone with European or UK exposure. State rules are arriving quickly enough that “we’re not regulated” has stopped being a durable answer. And boards want to know what’s deployed, who approved it, and what happens when it’s wrong.

Most organizations can’t answer the first question. The compliance program they already run wasn’t built for models, and nobody owns the inventory.

Three risks, not one

Buyers Conflate Three Different Problems. We Cover All Three

01 · ATTACKS THAT USE AI 02 · ATTACKS AGAINST YOUR AI 03 · GOVERNANCE OF WHAT YOU DEPLOYED Deployed AI system MODEL · DATA · TOOLS · PEOPLE INVENTORY · APPROVAL · OVERSIGHT · EVIDENCE PROMPT INJECTION · POISONING · MODEL INVERSION · AGENT ABUSE PHISHING · DEEPFAKE FRAUD
01

Attacks That Use AI

Adversaries with better phishing, faster reconnaissance, voice cloning, and automated exploitation. Your existing security program, under more pressure.

02

Attacks against Your AI

Prompt injection, data and model poisoning, model inversion and membership inference, tool and agent abuse. New surface that traditional controls were never designed to cover.

03

Governance of What You Deployed

Inventory, approval, ownership, human oversight, logging, bias and drift testing, vendor AI, and evidence an auditor will accept. Where most organizations are furthest behind.

Vendors tend to sell one of these and imply it covers the others. It doesn’t. An email security tool doesn’t govern your resume screener, and a governance platform doesn’t harden your model endpoints.

Our methodology

The Enterprise AI Enablement Methodology

Six components, each producing an artifact the next one uses. Same method whether you are a hundred people or ten thousand, what changes is depth, not sequence.

01

Current-State Diagnostic and Shadow AI Audit

A non-invasive review that inventories what is actually in use, surfaces the tools nobody approved, and places you on a five-stage maturity scale.

02

AI Vendor Terms and Data-Use Assessment

Every tool’s terms read and scored against consistent criteria: training use of your content and available opt-outs, retention and residency, confidentiality, output ownership, IP indemnification.

ApprovedApproved with required settingsProhibited
03

IP and Content Risk Review

Where AI-generated or AI-assisted material reaches your customers, what your provenance and disclosure practice needs to be, and what the vendor contract actually indemnifies.

04

Governance Framework and Operating Model

Decision rights, a lightweight intake for new tools, and a RACI, sized so consistency does not arrive as a bureaucracy your teams route around.

05

Use-Case Prioritization

Candidate opportunities normalized into specific statements and scored on value, feasibility, risk, and stakeholder support, then sequenced.

06

Secure and Compliant Usage Guardrails

The practical controls: required account settings, model-training opt-outs, and data-handling rules for AI tools.

NIST AI RMF 1.0ISO/IEC 42001EU AI ActNIST CSF 2.0GDPR / UK GDPR
Frameworks

What Each Framework Asks for, and What You Get from Us

FrameworkWhat it asks of youWhat we deliver
ISO/IEC 42001A certifiable AI management system: policy, roles, risk process, lifecycle controlsGap assessment, control design, documentation, certification readiness
NIST AI RMFGovern, map, measure, and manage AI risk, proportionate to harmA risk framework tailored per use case, a measurement plan, board reporting
EU AI ActRisk classification, transparency, human oversight, technical documentationClassification of your systems, obligations mapping, documentation pack
SOC 2 · HITRUST CSF · HIPAA · CSA AICMExisting controls, now covering AI-processed regulated dataAn extension of your current program, not a parallel one
Continuous assurance

Governance That Keeps Proving Itself

After the engagement, the CyRisk platform keeps your AI inventory, controls, and certification readiness monitored, alerted on, and reported, so evidence is something you show on demand instead of rebuilding each year.

The CyRisk platform →

Start with Where You Actually Stand

Inventory, risk snapshot, gap analysis, and a roadmap you keep.