AI Security Audit

Your AI agents are in production. Are they protected?

65% of companies have no specific protection tools for their AI agents. Our audit identifies vulnerabilities in your AI systems and delivers a concrete action plan to fix them.

Why your current defenses are not enough

An AI agent is not a standard web service. It makes decisions, executes actions and accesses resources based on natural language instructions.

83%

of companies plan to deploy AI agents

35%

have dedicated AI agent defenses

25%

of enterprise breaches linked to AI agents by 2028

Traditional network defenses operate on network and transport layers. Attacks against AI agents operate on the semantic layer - within query and document content.

What we audit

AI Agents & LLM

  • Prompt injection resistance (direct and indirect)
  • Sensitive data leakage (PII, credentials)
  • Excessive permissions (least privilege principle)
  • Output management (validation before execution)

RAG Pipelines

  • Ingestion security (malicious documents)
  • Vector data isolation (multi-tenant)
  • Search access control (ABAC)
  • Chunk provenance and integrity

Workflows & Infrastructure

  • Webhook and endpoint security
  • Agent network isolation (egress control)
  • Credential and secret management
  • Monitoring and anomaly detection

Compliance

  • GDPR posture (EU data, retention, erasure)
  • OWASP Top 10 LLM & Agentic alignment (2025)
  • NIST AI RMF mapping
  • EU AI Act preparation

How it works

01

Initial diagnostic

Week 1

Inventory of all AI agents, MCP tools, APIs and databases. Risk level classification and flow mapping.

02

Security testing

Weeks 2-3

Prompt injection testing, data isolation verification, permissions audit and adversarial testing on RAG pipelines.

03

Report & Action plan

Week 4

Detailed audit report with global risk score, prioritized remediation plan and debrief session with your team.

04

Remediation

Optional

Fix implementation by our team, post-correction re-testing and continuous monitoring setup.

Framework & Methodology

OWASP Top 10 LLM & Agentic (2025)
NIST AI Risk Management Framework
EU AI Act
Inspired by NVIDIA AI Red Team

Deliverables

Complete audit report (PDF, 20-40 pages)
OWASP risk matrix with score per agent
Prioritized remediation plan (actions, deadlines, owners)
Pre-production validation checklist
Debrief session (1h video call)
Contact

Book your free diagnostic

30 minutes to understand your challenges and explore how AI can transform your business.

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Frequently asked questions

Do our agents need to be built by Node6?
No. We audit all types of AI agents in production, regardless of the stack used (OpenAI, Claude, Mistral, LangChain, CrewAI, n8n, Make, custom...).
How long does an audit take?
Between 1 and 4 weeks depending on scope. An express audit on a single agent takes 1 week. A full multi-agent audit with infrastructure takes 3-4 weeks.
Will the audit interrupt our agents in production?
No. Tests are run on staging environments when possible, and production tests are non-destructive. Zero downtime.
Do you offer follow-up after the audit?
Yes. We offer optional monthly follow-up with automated re-testing, permissions review and compliance report updates.

Your AI agents deserve the same security level as your critical APIs

Book a free 30-min diagnostic to assess your AI systems' security posture.

You lose time every day on automatable tasks.
We can tell you which ones in 90 minutes.

Free audit
No commitment
Actionable plan
Free audit • No commitment • Actionable plan