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AI Security Governance

Netallion AI Assurance

Your employees are using AI. AI Assurance ensures they're not leaking secrets, PII, or source code in the process. Real-time detection, enforcement policies, and EU AI Act compliance — in one console.

Now in Beta
31+ detection patterns
EU AI Act ready
Azure-native
Real-time enforcement

Full AI security lifecycle

AI Leak Detection

31+ detection patterns scan for secrets, API keys, PII, source code, and sensitive business data flowing through Copilot, ChatGPT, Claude, and other AI tools.

Enforcement Policies

Define what data can and cannot be sent to AI services. Block, warn, or quarantine based on data classification, user role, and AI tool type.

Incident Management

Automated incident creation when sensitive data is detected. Full investigation workflow with evidence capture, severity scoring, and remediation tracking.

EU AI Act Classification

Classify AI systems by risk tier (Unacceptable, High, Limited, Minimal) per EU AI Act requirements. Generate compliance documentation and audit trails.

Shadow AI Discovery

Identify unauthorised AI tool usage across your organisation via Azure Monitor and network logs. Know which teams are using which tools — and what data they're sharing.

Governance Dashboard

Centralised view of AI usage, incidents, enforcement actions, and compliance posture. Executive reporting for CISOs and board-level AI risk oversight.

What you get

  • Real-time monitoring — detect sensitive data in AI prompts and responses as they happen, not after the fact.
  • Multi-tool coverage — Copilot, ChatGPT, Claude, Gemini, and custom AI deployments monitored from a single console.
  • Azure-native integration — deploys into your Azure environment with VNet integration, Key Vault, and Front Door.
  • MSSP multi-tenancy — manage AI governance across client environments with delegated access and SLA branding.
  • Runtime policies — enforce data handling rules at the point of AI interaction, not just in policy documents.
  • Compliance mapping — EU AI Act, GDPR, ISO 42001, and NIST AI RMF frameworks with automated evidence capture.

How it works

1

Connect

Deploy into your Azure environment. AI Assurance integrates with Azure Monitor, Azure DevOps, and GitHub to capture AI tool interactions.

2

Detect

Real-time scanning of AI prompts and responses for secrets, PII, and sensitive business data. Incidents are created automatically.

3

Enforce

Define policies by data type, user role, and AI tool. Start with visibility, progress to automated blocking as you tune rules.

Frequently Asked Questions

What AI tools does AI Assurance monitor?

Microsoft Copilot (M365, GitHub, Azure), ChatGPT, Claude, Gemini, and any AI service that routes through Azure Monitor or configurable network endpoints.

How does detection work?

AI Assurance analyses prompts and responses using 31+ pattern-matching rules covering secrets (API keys, tokens, certificates), PII (emails, SSNs, credit cards), and business-sensitive content (source code, financial data, legal documents).

Do I need the EU AI Act module?

If your organisation deploys or uses AI systems that affect EU citizens, yes. AI Assurance classifies your AI systems by risk tier and generates the documentation auditors expect under the Act.

Can I enforce policies without blocking productivity?

Yes. Policies support warn, quarantine, and block actions. Most organisations start with warn-only mode to understand patterns, then progressively enforce stricter rules for high-sensitivity data.

Know what your AI tools know about you