Secure · Stage 04

Secure the systems that now run your business

AI automation changes who and what can access business data. As agents gain access to CRM, finance, email, internal documents and operational systems, the attack surface and governance requirements change with it. Aigenrix maps that exposure, tests agent behavior, and designs controls around the resulting architecture.

Part of the Aigenrix system:Profit Intelligence·Digital Twin·Deep AI Automation

Verified, in scopeTested, blocked

Access & data

Data access & IAM audit

An inventory of where sensitive data lives, a review of over-privileged access, and a map of how information actually moves between systems — not how the org chart says it should.

What we check

→Inventory of data stores and who can reach them
→Over-privileged and stale access review
→Data flow mapping across internal and third-party systems
→Separation between development and production environments

How it works

SecOps and IAM engineers run the audit against your actual systems, not a questionnaire. You get a prioritized list, not a generic scorecard.

Outcome

A clear, ranked picture of where data exposure actually is — before an incident finds it for you.

AI security

AI agent review & red teaming

For any autonomous agent — ours or yours — tested the way an attacker would: prompt injection, data leakage, unauthorized tool calls, sandbox escape.

What we test

→Direct and indirect prompt injection
→Training-data and context leakage
→Unauthorized use of connected tools and agentic skills
→Sandbox and permission-boundary escape

How it works

AI-security and pentest specialists run structured attack simulations against the live agent, then hand over a vulnerability report with severity scoring and a remediation plan — plus runtime guardrails where they're missing.

Outcome

Agents that are pressure-tested before a client — or a regulator — finds the gap first.

Governance

AI governance & compliance readiness

An honest read of where the business stands against ISO/IEC 42001, NIST AI RMF, MITRE ATLAS and the EU AI Act — with a report you can actually hand to a regulator or a partner.

What you get

→Gap assessment against ISO/IEC 42001, NIST AI RMF and the EU AI Act
→Audit trail and documentation regulators expect to see
→Remediation plan sequenced by risk and deadline
→Formal readiness opinion for partners and procurement

Outcome

Compliance you can evidence, not just claim.

Who does the work

The same accountable team, not a subcontractor you never meet

AI-security and pentest specialists run the offensive testing. SecOps / IAM engineers configure access, monitoring and environment isolation. Risk & governance officers map the business against ISO/IEC 42001 and issue the readiness opinion. It is the same team you deal with on the automation work — no names change hands mid-project.

Case studies

Publishing soon

Our first cybersecurity engagements are in progress. We publish case studies once results are verified — the same standard we hold the Deep AI work to.

See the Deep AI work already in production →

Not sure what your AI systems are exposed to?

Book a 30-minute call. We will map where your data and your agents are actually exposed — and what is worth fixing first.

or write to team@aigenrix.com