An AI security audit maps how your company actually uses AI tools, where data can leak, which workflows are unsafe, which staff rules are missing, and what controls are needed before AI becomes an unmanaged operating risk.
Readiness scope
The output is a practical model for safe AI use: approved tools, forbidden data types, review rules, access boundaries, staff guidance, escalation triggers, and control points for workflows that touch customer or operational data.
AI usage can affect risk assessment, data protection, supplier dependencies, incident response, and evidence preparation. An AI security audit can support broader NIS2 readiness by making AI workflows visible and controllable.
AI tool inventory
Shadow AI risk register
Prompt and workflow risk review
Data sensitivity scoring
AI policy gap analysis
Secure AI workflow recommendations
Executive evidence report
These external resources are included so buyers can validate the regulatory and AI-risk basis directly. They do not imply endorsement or certification.
It is a structured review of AI tools, workflows, data exposure, staff behavior, policy gaps, and operational controls for companies using generative AI or AI agents.
Shadow AI is AI usage that happens without clear approval, visibility, policy, or controls. It often appears through personal ChatGPT accounts, browser extensions, unofficial tools, and ad hoc automations.
Yes. Risk depends on tool settings, contract terms, account type, data handling, retention, access control, and employee behavior. The audit maps these exposure paths.
Yes. We review how these tools are used, what data enters them, what workflows depend on them, and what controls should exist.
No. It is an AI usage and workflow security assessment. Technical penetration testing can be scoped separately for apps, APIs, or infrastructure.
Tool inventory, risk register, data exposure findings, policy gaps, workflow risk, priority actions, and a secure AI operating model.
Yes. It can support NIS2 readiness by documenting AI-related risks, controls, evidence gaps, supplier dependencies, and incident considerations.
Start with a scope review. We will identify the highest-risk systems, AI workflows, evidence gaps, and the fastest practical path to a useful readiness report.