Deploy AI systems securely, transparently, and compliantly. Backed by governance expertise from 25+ years of cybersecurity
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Organizations are increasingly adopting AI, from ChatGPT to Microsoft Copilot to custom models. But without clear governance, risks emerge: uncontrolled data flows, lack of traceability, regulatory violations. Cybervize brings structure to your AI adoption with battle-tested frameworks and experience from regulated industries.
The EU AI Act is being phased in. Organizations must classify AI systems, assess risks, and maintain evidence. Meanwhile, employees are already using AI tools, often without central oversight. AI Security Governance bridges this gap: gain transparency over AI usage, define policies, and establish controls that enable innovation while keeping risks manageable. And we do not just advise: Cybervize is building governed AI agents into its own product (four-eyes approval, hard locks, EU AI Act registration; in testing with selected customers). That practice feeds into every engagement.
From assessment to operational implementation
An operating model for AI agents in your organization: roles and permissions, suggesting as the default mode, acting only in narrowly defined fields with four-eyes approval, hard locks, a kill switch, audit evidence. We are building this practice into our own product right now; it feeds directly into the advisory work.
Building and maintaining your AI system inventory: recording AI systems, indicatively assigning risk classes, mapping owners and evidence. Professional assessment, not legal advice. OdySecure, the security platform by Cybervize, runs the inventory as an activatable feature.
Systematic evaluation of AI-related risks: data privacy, confidentiality, bias, hallucinations, and dependencies on AI providers.
Development and implementation of AI policies for secure usage: usage guidelines, approval processes, and escalation paths.
Classification of your AI systems by risk levels, gap analysis, and implementation planning for EU AI Act requirements. ISO/IEC 42001 serves as the management-system framework for this; OdySecure carries the standard as activatable in its integrated standards core.
Assessment of AI vendors and SaaS services: data processing, model security, contract design, and exit strategies.
Building control mechanisms and evidence chains: human-in-the-loop processes, audit trails, and transparency reports.
Using GraphRAG and local LLMs for automated governance processes with controlled output and review mechanisms.
Mapping all AI systems, tools, and workflows in your organization. Shadow AI analysis.
AI risk assessment using established frameworks. Classification according to the EU AI Act.
Policies, roles, processes, and controls. Pragmatic and actionable.
Operational rollout, training, and integration into daily business.
Our team is published on AI governance and applies research methods in practice.
GraphRAG for Transparent AI
Anthology "AI Transformation in Germany" (UVK Publisher)
Publication date: June 2025
The most durable approach is the employee principle: an agent gets its own account, roles and organizational permissions, and is visibly labelled as an AI agent everywhere. Suggesting is the default mode; a human decides. Acting applies only to narrowly defined fields, and switching to it requires a second person. Add hard locks (no approvals, no risk acceptance, no granting of rights by agents), a kill switch and an audit log of every action. We advise on the operating model and are building exactly this model into OdySecure (in testing with selected customers).
Yes. AI systems operated internally also belong in the AI system inventory, with an indicative risk classification, named owners and human confirmation before activation. This is professional assessment, not legal advice. In OdySecure, AI agents auto-register in the registry and are classified and confirmed by a human before activation (in testing with selected customers).
AI Security Governance encompasses policies, processes, and controls that ensure AI systems in your organization are used securely, transparently, and in compliance with regulations. This includes AI risk assessments, policies, provider due diligence, and human-in-the-loop controls.
As soon as you use AI tools or services, whether ChatGPT, Copilot, or custom models, risks arise for data privacy, confidentiality, and compliance. Structured AI Governance protects you from uncontrolled usage and regulatory risks, especially in the context of the EU AI Act.
Traditional IT security protects infrastructure and data. AI Security Governance goes further: it addresses model-specific risks such as hallucinations, bias, prompt injection, uncontrolled data flows to AI providers, and the traceability of AI decisions.
GraphRAG (Graph-based Retrieval Augmented Generation) connects Knowledge Graphs with Large Language Models for more transparent and traceable AI responses. Cybervize uses GraphRAG with Neo4j and local LLMs to automate governance workflows with AI, with controlled output and review processes.
Let's discuss AI Security Governance for your organization: pragmatic, regulatory-sound, and immediately actionable.
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