AI security and governance (ISO/IEC 42001): Use AI and keep control of what it can reach.
We find where AI is already in use, map what each model and agent can touch, test how they fail, and set rules your teams can follow. Adoption keeps moving. Exposure stays visible.
For
Leaders adopting AI assistants, copilots and agents, and the risk, legal and security teams who must keep up.
You get
An AI inventory, a permission map for agents, test results, a usable policy and monitoring design.
How it runs
Discovery first, then threat modeling and testing on the highest-risk systems.
Not included
Building your AI product, or legal opinions on AI regulation. Your counsel confirms which laws apply.
The agent map: who can do what
For each agent we write down what it can read, what it can change and who answers for it. The rows below are illustrative.
| Agent | Can do | Limits | Owner |
|---|---|---|---|
| Customer support assistant | Read order history and the help center. | Cannot issue refunds or see payment data. | Head of Support |
| Finance reconciliation agent | Read ledgers and bank feeds. Draft journal entries. | Posting needs a human approval. Spend cap per run. | Finance Controller |
| Code assistant | Read repositories. Suggest changes. | No production access. No secrets in prompts. | Head of Engineering |
| IT helpdesk agent | Reset passwords for standard users. | Admin accounts excluded. Every action logged. | IT Operations Lead |
Failure modes we test, from the OWASP Agentic Top 10
- Goal hijackAn attacker redirects the agent's objective through its inputs.
- Tool misuseThe agent uses a legitimate tool in a harmful way.
- Identity and privilege abuseIts credentials are stolen or its rights grow unnoticed.
- Supply chainA third-party tool or plug-in brings its own weakness.
- Memory and context poisoningStored context is tampered with to mislead later steps.
- Cascading failuresOne compromised agent spreads damage to others.
AI is already inside
45%
of users regularly used AI on corporate systems in 2025, up from 15%.
Verizon DBIR 2026
67%
of users reached AI services through non-corporate accounts on company devices.
Verizon DBIR 2026
Four steps, in order
Step 1
Find
Discover the AI in use: approved, trial and shadow.
Step 2
Map
Write down data access and permissions for each model and agent.
Step 3
Test
Try prompt injection, data leakage and tool misuse on the riskiest systems.
Step 4
Govern
Set the policy, approvals and monitoring, and name owners.
What you hold at the end
- AI inventoryEvery model, tool and agent, with owner and data it touches.
- Permission mapWhat each agent can read, change and spend.
- Threat modelHow your AI systems can fail or be abused, in plain language.
- Test resultsWhat we tried, what worked and how to fix it.
- Policy and approval flowRules short enough to follow, with a fast route to approve new use.
Dates and standards to know
2 August 2026
EU AI Act transparency obligations apply, including telling users when they are dealing with AI and labeling certain AI-generated content.
2 December 2027
EU AI Act obligations for stand-alone high-risk systems, moved from August 2026 by the AI Omnibus. Systems built into regulated products follow on 2 August 2028.
Voluntary frameworks
ISO/IEC 42001 sets requirements for an AI management system. The NIST AI Risk Management Framework gives a structure for mapping and managing AI risk.
Your counsel confirms which apply to you.
Works well with
- Agentic AI SecurityGoes deeper on permissions, tools and agent monitoring.
- Identity & Access SecurityBrings agents and their tokens under the same controls as people.
- Emerging Technology SecurityCovers other new technology around the AI program.
Questions we hear
We have not deployed AI yet. Is it too early?
Staff probably use it already. A short discovery shows where, and what is leaving the company.
Do you test for prompt injection?
Yes. We try to make models and agents leak data, ignore rules or misuse tools, and report what happened.
Does the EU AI Act apply to a UAE company?
It can, if you place AI on the EU market or its output is used in the EU. Your counsel confirms. We map the technical duties.
Will a policy slow our teams down?
A good one speeds them up: clear rules, and a quick approval path for new tools.
See where AI already reaches.
Tell us which tools and agents you run. We show what they can touch.
