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AI agent security

Trust boundaries, least-privilege tool permissions and human approval points for autonomous workflows, reviewed against the irreversible actions an agent can reach.

Review AI agents
Standards
ISO/IEC 42001 · NIST AI RMF
Testing
Adversarial, tool-aware

Why this matters now

AI is already in use inside most organisations, usually before governance catches up. AI agent security gives you control without blocking work that is genuinely useful.

What the engagement covers

Each area below is a defined part of the engagement, with an owner, an output and a date.

Trust boundaries

Where agent input stops being trusted and starts being validated.

Permissions

Least-privilege scoping of every tool and credential an agent can reach.

Data access

Controls on what an agent can read, write and export.

Tool use

Review of tool definitions, side effects and irreversible actions.

Monitoring

Continuous observation with alerting tuned to your risk profile.

Human approval

Checkpoints where a person must confirm before the action executes.

Agent trust boundaries

UNTRUSTED INPUTdocuments, web, emailAGENTplans and calls toolsleast privilegeTOOLS AND DATAscoped credentialsHUMAN APPROVALirreversible actions stop hereAnything the agent reads is input, not instruction.Prompt injection is not a model flaw to be patched. It is an architecture problem, solved with boundaries.
Anything the agent reads is input, not instruction.

How the work runs

The same sequence on every engagement, so you know what happens next.

STEP 01

Inventory

Establish what AI is actually in use, including tools adopted without approval.

STEP 02

Assess

Evaluate each use case for security, privacy, legal and model risk.

STEP 03

Control

Apply proportionate controls: policy, access, logging, approval points and monitoring.

STEP 04

Test

Adversarial testing against the deployed system, including indirect injection paths.

STEP 05

Govern

Reporting, review and change control so governance keeps up with adoption.

What you get out of it

Adoption without blind spots

Useful AI work continues; the uncontrolled parts get controlled.

Standards alignment

Mapped to ISO/IEC 42001 and ISO/IEC 27001 so one programme serves both.

Tested, not assumed

Controls verified by adversarial testing against the live system.

Standards and references: ISO/IEC 42001:2023 · NIST AI RMF · OWASP Top 10 for LLM Applications · ISO/IEC 27001:2022

Before you enquire

How quickly can this start?
Scoping usually takes one call. Delivery start depends on access and approvals; we will give you a date in the proposal rather than after you sign.
Who actually does the work?
Named consultants from our regional teams. You will meet them before the engagement begins, and the same people write the report.
How is this priced?
A fixed price against a written scope wherever the work can be scoped that way, and a day rate where it genuinely cannot. Either way you see the basis before you commit.

Review AI agents

One scoping call with the consultant who would run the work. No obligation, no charge.

Review AI agents
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