AI Agent Security Review | DaveOnCyber
AI Agent Security Review

Control What Your AI Agents Can Do Before They Do It

AI agents do not just generate content. They take actions, access systems, and make decisions. We assess whether those actions are controlled, secure, and safe for your business.

2 to 3 week fixed-fee engagement

What this review delivers

AI Agent Inventory Full picture of every agent in your environment
Agent Risk Register Structured risk view across your agent landscape
Control Gap Assessment Where boundaries and oversight are missing
Executive Risk Summary Board-ready view of agent exposure and recommendations
The Problem

Most organisations are experimenting with AI agents without fully understanding the risk.

AI agents differ fundamentally from conventional software. They do not just respond to queries. They execute code, call APIs, read files, send communications, and make sequential decisions with real business consequences.

When an agent can act autonomously across your systems and data, the risk profile is qualitatively different from any other technology you have deployed.

If an AI agent can act, access, and decide — it can also fail, misuse, or expose.
Agents acting without clear boundaries or approved use cases
Excessive access across systems and sensitive data stores
Uncontrolled API and tool execution with no restriction scope
Exposure to prompt injection and adversarial manipulation
No visibility into what agents are actually doing at runtime
No approval gates for high-risk or irreversible actions
No audit trail, accountability, or incident response capability
What is Included

Eight structured review areas.

Each area is assessed against established controls for agentic AI systems. Findings are documented with prioritised recommendations your team can act on immediately.

Area 01

Agent Use and Boundary Definition

Approved use cases documented and enforced
Clear operational boundaries per agent
Identification of prohibited actions and edge cases
Area 02

Identity and Access Control Review

Dedicated agent identities confirmed
Least privilege access validation
Access review gaps and over-permissioned roles identified
Area 03

Tool and API Permission Assessment

Allow-listed tools only, no open-ended access
Scoped API tokens with minimal permissions
High-risk action restrictions in place
Area 04

Data Protection Controls

Data classification alignment verified
Sensitive data exposure risks identified
Prompt handling and data leakage risks assessed
Area 05

Human Oversight and Approval Gates

High-risk action approval requirements in place
Human-in-the-loop validation checkpoints
Escalation pathways defined and tested
Area 06

Secure Testing and Abuse Scenarios

Prompt injection testing performed
Boundary and misuse scenarios evaluated
Pre-deployment validation criteria established
Area 07

Logging, Monitoring and Response

Audit trail capability assessed and gaps noted
Risk behaviour detection controls reviewed
Incident response readiness for agent failures
Area 08

Vendor and Resilience Risk

Third-party AI agent exposure reviewed
Model and behaviour change risk assessed
Kill switch and rollback capability confirmed

Final deliverables

AI Agent Inventory
Agent Risk Register
Control Gap Assessment
Safe-to-Deploy Recommendations
Executive Risk Summary
How It Works

Structured from day one.

A fixed-fee engagement with no ambiguity about scope, timeline, or what gets delivered.

01
Discovery session

We map your current AI agent landscape, tools in use, access scope, and existing controls. This scopes the review and identifies the highest-risk areas to prioritise.

02
Structured review

We assess each of the eight control areas against established agentic AI security principles, documenting gaps, risks, and the business impact of each finding.

03
Findings and recommendations

A prioritised report covering every control gap, risk rating, and a concrete action plan your technical and leadership teams can act on immediately.

04
Executive debrief

A 60-minute briefing with your leadership team covering findings, the executive risk summary, and guidance on sequencing remediation without disrupting operations.

Who This Is For

Built for organisations deploying agents before the controls are in place.

If your organisation is piloting or deploying AI agents across workflows, customer-facing systems, or internal operations, this review gives you a structured picture of your risk exposure before something goes wrong.

We work with technology leaders, CISOs, and operational teams who need to move quickly on AI adoption without creating uncontrolled risk in the process.

Organisations piloting AI agents or automation Moving from experimentation to production and needing a security baseline before go-live

Microsoft Copilot and workflow automation environments Power Automate, Copilot Studio, and integrated agent workflows across Microsoft 365

API-driven SaaS ecosystems Environments where agents interact with multiple third-party systems via API access

Customer service or internal AI assistants Deployed assistants with access to internal knowledge, CRM, or customer data

Engineering teams deploying agent-based systems Development teams building agents who need a structured security review before release

Engagement Model

Fixed fee. Fixed scope. Clear outcome.

No retainer required. No open-ended discovery. A structured review with a defined deliverable package and a firm timeline.

Pricing may vary based on the number of agents, system complexity, and access requirements. All engagements are scoped and confirmed before any work begins.

AI Agent Security Review

Before you deploy AI agents into your workflows, understand the risk.

A confidential 30-minute discovery call to assess your current agent exposure and identify where your control gaps are. No obligation to proceed.

Prefer email? Reach us at [email protected]