What is AI risk governance?

AI risk governance is the set of policies, roles, processes and controls an organization uses to ensure that AI systems are used and developed responsibly, securely and in line with legal and ethical requirements. This covers every stage from initial use-case approval to ongoing monitoring.

Does the EU AI Act apply to companies outside the EU?

It can. The AI Act applies to providers placing AI systems on the EU market and to deployers using them in the EU, and in some cases to organizations outside the EU whose AI output is used in the EU. Obligations depend on your role and the risk category of the system.

What are the risk categories under the EU AI Act?

The Act prohibits certain AI practices, sets strict requirements for high-risk AI systems, imposes transparency obligations on systems such as chatbots and generated content, and includes specific obligations for general-purpose AI models. Many everyday uses fall into lower-risk categories with limited obligations.

What is ISO/IEC 42001?

ISO/IEC 42001 is the international standard for an AI management system. It defines requirements for governing AI responsibly and can be certified by an accredited certification body, similar to ISO 27001 for information security.

What is the NIST AI Risk Management Framework?

The NIST AI RMF is a voluntary framework that helps organizations govern, map, measure and manage AI risks. It is widely used as a practical structure for AI governance programs.

What are the main security risks of generative AI?

Leakage of confidential data into AI tools, prompt injection, insecure handling of model output, excessive permissions for AI agents, poisoned or untrusted models and data, and third-party AI services using your data in unexpected ways.

Should we ban employees from using ChatGPT and similar tools?

Bans are often ineffective and push usage underground. A better approach is to approve suitable enterprise tools, define which data may and may not be used, and educate employees. That way, the business benefits while risk remains controlled.

How do you secure an LLM-based product feature?

By threat-modeling the feature, limiting the data and actions available to the model, validating inputs and outputs, protecting against prompt injection, logging and monitoring usage and testing it before release. We review these controls with your engineering team.

How does AI governance relate to privacy and the GDPR?

Many AI use cases process personal data, so privacy obligations such as lawful basis, transparency, data minimization and DPIAs still apply. We coordinate AI governance with your privacy program and DPO.

How long does it take to set up AI governance?

A foundational program covering AI inventory, policy, governance roles and assessment of priority use cases typically takes about four to eight weeks, depending on the size of the organization and the number of AI use cases.

AI is moving fast. Your governance must keep up.

AI Risk Governance: Adopt AI Safely, Securely and in Line With Regulation

Employees are already using generative AI tools. Product teams are embedding large language models into customer-facing features. Vendors are adding AI to the platforms that process your data. Most organizations have no inventory of where AI is used, what data it touches or who is accountable when it goes wrong. Serving organizations across Europe, the US, the UK and Israel, VULNSEE helps you put governance and security around AI, without slowing down the innovation the business needs.

We combine AI governance, privacy and cybersecurity expertise to address the risks that matter: data leakage, insecure AI integrations, unreliable outputs, third-party AI and emerging regulation.

Quick Answer: What Is AI Risk and Governance?

AI risk and governance is the structured framework of policies, approval processes, security controls and accountability that organizations use to adopt artificial intelligence safely. It addresses data leakage, insecure model integrations, third-party vendor AI systems, intellectual property exposure and regulatory compliance under standards like the EU AI Act and ISO 42001 without slowing down business innovation.

ASSESS YOUR AI RISK

[01]

[01]THE AI GOVERNANCE GAP

AI Is Already in Your Organization. Governance Usually Is Not.

AI adoption tends to happen bottom-up and faster than policies can follow. Before an incident, a customer question or a regulator forces the issue, leadership should be able to answer:

QUESTION 01

Where is AI used across the organization, whether by employees, in our products or by our vendors?

QUESTION 02

What data is being entered into AI tools, and where does it go?

QUESTION 03

Which AI use cases could create legal, ethical, security or reputational harm?

QUESTION 04

Who approves new AI use cases, and on what criteria?

QUESTION 05

Which regulations and customer requirements apply to the way we use AI?

Organizations typically engage us when:

Employees use public generative AI tools without clear rules on data.

The product team is building features on top of large language models.

Enterprise customers ask how AI is governed in your product and operations.

The organization needs to understand its obligations under the EU AI Act.

Leadership wants an AI policy and approval process before scaling adoption.

The organization is considering ISO/IEC 42001 certification.

[02]WHAT WE COVER

AI Risk Governance and Security Areas

AI Inventory & Classification

Discover and classify AI use across employees, products and vendors, including shadow AI.

AI Risk Assessment

Evaluate each use case for data protection, security, accuracy, bias, transparency and legal risk.

AI Policy & Acceptable Use

Clear rules for using generative AI, including approved tools, prohibited data and human-review requirements.

LLM & AI Application Security

Review AI-enabled applications for prompt injection, data leakage, insecure output handling, excessive agent permissions and model supply-chain risks, informed by the OWASP Top 10 for LLM Applications.

Third-Party AI Risk

Assess AI vendors and AI features in existing platforms: data use, training on your data, retention and contractual protections.

Regulatory Readiness

Map obligations under the EU AI Act, privacy laws and sector rules, and align with ISO/IEC 42001 and the NIST AI Risk Management Framework.

Request AI Risk Session

[03]REGULATION & STANDARDS

The EU AI Act, ISO/IEC 42001 and NIST AI RMF: What They Mean for You

The EU AI Act takes a risk-based approach: certain AI practices are prohibited, high-risk systems face strict requirements, general-purpose AI models carry specific obligations and many systems must meet transparency rules. Its obligations phase in over several years and can apply to organizations outside the EU whose AI systems are used in the EU market. ISO/IEC 42001 provides a certifiable management system for AI, and the NIST AI Risk Management Framework offers a practical structure to govern, map, measure and manage AI risk. We help you understand which of these apply and build one proportionate governance model.

Implement AI Governance

Board

Executive

CISO

Security

Operations

[04]THE GOVERNANCE PROGRAM

From AI Inventory to Governed, Secure AI Adoption

Phase 1

Discover

Identify AI use cases, tools, vendors and data flows across the organization.

Phase 2

Assess

Classify use cases by risk and regulatory relevance and assess priority systems, including security review of AI applications.

Phase 3

Govern

Establish policy, roles, approval workflow and controls proportionate to risk.

Phase 4

Sustain

Monitor new use cases, vendors and regulatory developments and report to management.

Evolve AI Maturity

Initial

Defined

Managed

Optimized

Identify

Assess

Treat

Monitor

[05]OUTCOMES

What Changes After the Engagement

Leadership knows where AI is used and which use cases carry real risk.

Employees know which tools and data are allowed.

New AI use cases go through a fast, proportionate approval process.

AI-enabled products are designed with security and privacy from the start.

Customer and regulator questions about AI are answered with evidence.

The organization is prepared for evolving AI regulation instead of reacting to it.

Initiate AI Program

[06]DELIVERABLES

What You Receive

AI Inventory & Risk Register

All identified AI use cases, tools and vendors, classified by risk, with owners and treatment status.

AI Policy & Acceptable-Use Rules

Practical rules for employees and developers on approved tools, data, review and disclosure.

AI Governance Charter

Roles, decision rights, approval workflow and escalation for new AI use cases.

Use-Case Risk Assessments

Structured assessments of priority AI systems covering security, privacy, accuracy, bias and legal risk.

AI Application Security Review

Findings and remediation guidance for LLM-based features and integrations.

Regulatory Readiness Map

Applicability of the EU AI Act and other requirements, aligned with ISO/IEC 42001 and NIST AI RMF.

Request AI Risk Sample

[07]

[07]IDEAL FIT

Who Is This Service For?

Organizations whose employees use generative AI tools such as chat assistants and copilots.

SaaS and technology companies building AI or LLM features into their products.

Companies providing or deploying AI systems in the EU market.

Regulated organizations in finance, healthcare and insurance adopting AI.

Organizations considering ISO/IEC 42001 certification.

Boards and executives who need a clear view of AI risk and accountability.

[08]

[08]FREQUENTLY ASKED QUESTIONS

Frequently Asked Questions

[09]

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AI RISK GOVERNANCE

Use AI With Confidence, Not Guesswork.

Tell us how AI is used in your organization today, whether by employees, in your products or through vendors. We will help you build governance and security that fit your pace of innovation.