Deploy AI systems securely, transparently, and compliantly. Backed by governance expertise from 25+ years of cybersecurity
Schedule a ConsultationOrganizations 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.
From assessment to operational implementation
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.
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.
Leveraging 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.
Alexander Busse is a published author on AI governance and applies his research methods in practice.
GraphRAG for Transparent AI
Anthology "AI Transformation in Germany" (UVK Publisher)
Publication date: June 2025
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.
Schedule a Conversation