AI Risk Assessment
Systematic evaluation of AI-related risks: data privacy, confidentiality, bias, hallucinations, and dependencies on AI providers.
Deploy AI systems securely, transparently, and compliantly. Backed by governance expertise from 25+ years of cybersecurity
Schedule a Consultation
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.
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.
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
Let's discuss AI Security Governance for your organization: pragmatic, regulatory-sound, and immediately actionable.
Schedule a ConversationMemberships, programmes and partnerships
Comprehensive analysis of your IT security posture with actionable roadmap.
Learn moreAutomated risk management and real-time compliance monitoring.
Learn moreStructured NIS-2 compliance: gap assessment, roadmap, and implementation in 12 weeks.
Learn moreMost security programs do not fail at launch. They fail when initiative must become routine. Five binding routines for sustainable governance.
Organizations that treat AI agents as magic will never control them. What an AI agent actually is and why that changes everything.
When AI models outside Europe are needed: How a five-step control sequence makes deployment responsible.