AI Security Governance

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 a design-partner programme, not yet generally available).

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 a design-partner programme, not yet generally available).

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.