AI Security & Governance

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AI Security & Governance

Take Control of AI Before It Takes Control of You.

Your teams are already using AI. The question is whether you know where, how, and what data is being exposed. Cyber Analytica builds the security foundation, governance framework, and monitoring capability your organisation needs to adopt AI safely and defensibly.|

AI tools are spreading across every department, from marketing teams using ChatGPT to developers relying on Copilot, to finance teams experimenting with automated reporting. Most of this adoption is happening without IT’s knowledge, without security review, and without any governance structure in place. Cyber Analytica’s AI Security and Governance engagement gives you a clear picture of your AI exposure, then builds the controls, policies, and monitoring capability to manage AI adoption on your terms.

Why AI Governance Cannot Wait

The risk is not hypothetical. Sensitive data is being pasted into public AI services. Internal documents are being uploaded to unvetted platforms. A 2026 McKinsey survey found that security, risk management, and governance concerns are among the most frequently cited barriers to scaling AI.

Shadow ai warning

Shadow AI Is Already Here

It rarely starts with a dramatic breach. It starts with an employee pasting a client contract into ChatGPT, or a developer feeding proprietary source code into Copilot without reviewing the data retention policy.

Regulators Watching

Regulators Are Watching

With the EU AI Act reaching general application in 2026 and clients sending due diligence questionnaires about AI controls, a documented, operational governance framework is no longer a nice-to-have.

Maturity Gap

74% vs 21% Maturity Gap

74% of companies plan to deploy agentic AI within two years, but only 21% have a mature governance model in place. The gap is widening, and the organisations that close it early build on solid ground.

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Key Takeaway:

Organisations that fail to establish controls early are building on a foundation they will eventually have to tear apart. Cyber Analytica exists to close that gap before it becomes a liability.

Our Partners

Huntress
Tanium
Cybereason
Hadean
Mimecast
Arctic Wolf
Rhombus
Flare
MS Defender
Purecyber
Sentinel One
Sophos
Bullet Proof
Crowdstrike
Cynet
Darktrace
Keepnet

See What You Cannot Govern

Discovery & Exposure Mapping

You cannot govern what you cannot see. Most organisations have no single view of which AI tools are in use, who is using them, or what data they are touching. Cyber Analytica starts every engagement by building that view, systematically and thoroughly, before any policy or control decision is made.

We conduct a structured discovery across your environment to identify every AI tool, integration, and workflow in use, whether sanctioned by IT or adopted independently. This includes enterprise platforms like Microsoft 365 Copilot and ChatGPT Enterprise, developer tools such as GitHub Copilot and Claude, embedded AI features within SaaS products, internal applications with AI components, and any shadow AI usage detectable through available telemetry.

“We have no idea how many AI tools our staff are using, what data they are putting into them, or whether any of it is approved.”

Core capabilities of EPP

Kickoff pack

Kick-Off Pack

Confirmed scope, roles, governance contacts, project plan, and information request list.

Asset register

AI Asset Register

Tools, owners, data touchpoints, authentication methods, and risk observations.

Ai identification

Shadow AI Identification

Initial control gap analysis where telemetry permits.

Discovery findings summary

Discovery Findings Summary

Key observations, hot spots, quick wins, and recommended priorities.

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Key Takeaway:

The AI Asset Register becomes the foundation for every governance and control decision that follows.

Practical, Enforceable, Yours

Governance, Policy & Control Design

A governance framework is only useful if it is practical enough to follow and specific enough to enforce. With a clear map of your AI landscape, Cyber Analytica designs the governance structure that brings it under control, fitting your operating model and risk appetite, not generic templates lifted from a compliance library.

What We Build
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Governance Framework

Roles, approvals, oversight structure, and operating model. Plus an Acceptable Use Standard with practical rules for permitted and prohibited use of AI tools and data.

Service icon

Technical Control Standards

Minimum controls for AI platforms and agentic workflows, covering identity management, least privilege access, secrets management, monitoring requirements, and human oversight gates.

Approval exception process

Approval & Exception Process

A controlled, accountable channel for assessing new tools, approving use cases, and documenting exceptions. Adoption keeps happening, but on your terms.

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Key Takeaway:

In 2026, with the EU AI Act reaching general application and regulators worldwide expecting demonstrable governance programmes, having a documented, operational framework is no longer a nice-to-have. It is a business requirement.

“We know we need an AI policy, but we do not know what it should cover, how to enforce it, or how to handle the tools people are already using.”

Policies Without Enforcement Are Suggestions

Technical Hardening & Monitoring

Cyber Analytica goes beyond documentation to conduct hands-on technical review and hardening of your primary AI platform, then defines the monitoring use cases your security team needs to detect and respond to AI-related risks in real time.

We conduct a detailed technical review of one primary AI platform, selected by you. This might be your Microsoft 365 Copilot deployment, ChatGPT Enterprise instance, GitHub Copilot rollout, Claude usage, or an Azure AI environment. We review identity controls, admin settings, access permissions, configuration options, and data boundaries, then support implementation of the agreed changes.

“We rolled out Copilot across the business but nobody has reviewed the security settings, and we have no way to tell if someone is feeding sensitive data into it.”

Hardening Deliverables

Hardening checklist

Hardening Checklist & Action Log

Reviewed settings, agreed changes, and implementation status.

Platform config review

Platform Configuration Review

Identity, access, configuration, and data boundary review for one primary AI platform.

Ai monitoring use cases

AI Monitoring Use Cases

Suitable for SOC, IT operations, or governance review.

Incident playbooks

AI Incident Playbooks

Unsanctioned use, data exposure, excessive permissions, suspicious agent activity.

Residual risk log

Residual Risk Log

Accepted risks and outstanding actions, documented.

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Hardening tells you what to lock down. Monitoring tells you when something happens anyway. You need both.

Board-Ready, Not Jargon-Heavy

Executive Readout & Roadmap

The engagement concludes with a clear, business-facing presentation of findings, not a jargon-heavy report that gathers dust. Cyber Analytica delivers a practical readout designed for your leadership team, with a prioritised roadmap that tells you exactly what to do next.

What You Take to the Board
Productivity gains

Executive Readout

Findings, risk themes, progress made, residual risks, and practical next-step recommendations. Designed for your board and leadership team, not your security analysts.

Roadmap

90-Day Prioritised Roadmap

Quick wins, medium-term hardening actions, adoption milestones, and managed service options, sequenced so you can defend the order to anyone who asks.

Editable deliverables

Editable Deliverables

Every artefact is provided in editable format so your team can maintain, extend, and evolve the framework as your AI landscape grows.

 
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Key Takeaway:

You leave the engagement with something you can hand to a regulator, a client doing due diligence, or your own board, and have an honest, evidenced answer.

“We need something we can take to the board that shows what the risks are, what we have done about them, and what still needs to happen.”

Get Ahead of the Risk