Cyber and governance-led advisory for organisations whose people are already using AI, before the structure to govern it has caught up. We build the footing underneath.
AI is already entering your business through staff, suppliers, client expectations and everyday tools. Adoption rarely waits for a board decision. It is usually live across the organisation before anyone can say who owns it, what data it touches, or whether its use could be defended to a client, an insurer or a regulator. The value and the exposure grow together, unseen.
And the exposure runs both ways. Ungoverned use carries risk. Failing to harness AI carries competitive cost — sophisticated buyers increasingly ask for evidence of AI governance and responsible-use practice before they award, and bids are already being won and lost on the speed of AI-enabled response.
Cyberbase is led from cyber security and information governance, not from technology sales, so our instinct is to capture the advantage only on a footing you can stand behind. We are here to let you move without inheriting a liability you cannot later account for.
Your organisation can explain what AI is being used for, what data it touches, what risks it creates, who owns it, and what controls are in place.
Every AI use, and every recommendation we make, is held to four questions a board can repeat without us in the room.
What commercial or operational advantage does it create?
What client, IP, data-protection or professional-liability risk does it carry?
What specific control makes its use defensible?
Who inside your organisation is ultimately accountable for it?
AI governance and cyber security are not adjacent disciplines. They are the same discipline viewed from two ends. An AI policy is only as strong as the identity controls, data classification, supplier assurance and incident response sitting beneath it.
AI policy, acceptable use, risk appetite, the standing governance body and its decision rights.
The use register, the vendor-AI vetting gate, DPIA templates, controller and processor mapping, data-residency decisions, centralised licensing.
Identity and access, endpoint protection, monitoring, device management, data classification, supplier assurance, an exercised incident response plan.
Remove Layer 01 and everything above it is decoration. Where we find the baseline absent, we say so, and we sequence it first — even when that is not the answer you were hoping for.
Where AI processing runs through SaaS brokers and onward suppliers, the real exposure is often two or three hops beyond the tool the business believes it is using. We trace it.
Which AI providers are processors, which written agreements exist under Article 28 of UK GDPR, what sub-suppliers each provider uses, where data actually resides. Most organisations hold no consolidated view of this.
Privacy, ethical and security considerations are embedded into the AI development lifecycle as a foundational component — not a post-deployment measure.
Neither requires a programme commitment. Both give your board something it can act on.
Rather than a twelve-week study that ends in a slide deck — a fixed-scope, fixed-fee review your board can commission on its own authority.
Every AI use already live in the organisation, inventoried and risk-scored.
Each use held to advantage, risk, control and ownership, so the board can judge it without us in the room.
Owner-led: what to stop, what to permit, what to pilot, and what needs a named owner before it scales.
You receive a short written report, an AI use register, a risk-rated action plan and a leadership briefing. Every recommendation carries an internal owner, because governance has to live in your organisation to last. We propose external help, including our own, only where specialist depth genuinely warrants it.
For organisations with a stated AI ambition and a gap between it and the current state. Where the Defensibility Review establishes the footing, this establishes the whole picture — and gives the board the evidence it needs to decide direction, pace and investment.
How staff actually use AI, sanctioned and unsanctioned. What data goes into which tools. Literacy levels, and the near-term gains available with the right guardrails.
What the security posture looks like beneath the surface. Not as reported — as it is.
What exists, what is genuinely end-of-life versus extensible with targeted AI intervention, and the data quality, structure and ownership picture.
The most material gaps against stated ambition, the foundational actions that must come first, and realistic resourcing options — build, buy or partner.
Assessment tells you where you stand. These are the engagements that build what stands underneath — commissioned individually or as a sequenced programme.
The structure that turns findings into a working system.
Most organisations we assess are missing the same five artefacts.
Together these are the policy bones of an information security management system — without the overhead of ISO/IEC 27001 certification where certification is not the right answer. Where you already run a business management system for ISO 9001 or 14001, we bolt the missing machinery onto it rather than building a parallel structure.
Named accountability, without a permanent hire.
Governance that people understand is governance that holds.
A secure, governed foundation matters only if it produces value, and value is realised in delivery, not in documents. We stay to help you put AI to work, placing experienced, ground-level AI delivery specialists alongside your teams on longer-term assignments, with governance and security discipline built in from the start rather than bolted on afterwards. For organisations already mature in their governance, this is where we add the most value of all.
Faster, leaner ways of working.
Stronger retention and added services.
New propositions and growth.
Value delivered, profit defended.
A custom framework categorising the client's AI applications by risk level, defining unacceptable risk and prohibited practice against their own risk appetite, with heightened attention to biometrics. We championed AI by Design, embedding privacy, ethics and security into the development lifecycle from inception.
A group-wide data strategy across seven operating airline brands, aligned to a £2bn+ transformation portfolio, covering data ethics and AI enablement. A federated, GDPR-compliant governance framework and a cloud-first platform embedding privacy by design.
A practice with AI already live across its studios, including two tools built in-house with a university partner. We benchmarked maturity against ISO/IEC 42001, NIST AI RMF, ICO guidance and Cyber Essentials, and mapped the data-protection and IP exposure including three-hop SaaS-broker risk.
Cyberbase brings together senior cyber security, information governance and hands-on AI systems experience. Our consultants include practitioners with formal computer science backgrounds, recognised cyber security credentials, and practical experience configuring, testing and applying modern AI systems.
Risk, ownership, controls and defensibility, in language the board owns and can repeat without us in the room.
How AI is genuinely being configured, licensed, routed and exposed inside your organisation — traced, not assumed.
We bridge the two. That is what separates us from governance advisers who do not understand the technology, and AI shops that do not understand governance. You work directly with our senior practitioners — deep expertise without the overhead structures of larger firms.
Across sectors, AI adoption follows a consistent shape. Capable people find real value before the organisation can explain the risks, the owners or the limits. People across functions each hold a piece of the diagnosis; what is missing is ownership and a defensible footing under activity already in flight.
Your organisation does not lack AI ideas. It lacks structure.
AI governance is the discipline that lets our other capabilities be deployed without creating exposure. Most engagements draw on more than one.
The baseline layer that makes AI governance true. CISO expertise, GRC and certification, security architecture, IAM and PAM, SOC and SIEM.
Explore the practiceWhere governed AI becomes operational capability. Automation target operating models, process and communication mining, agentic orchestration.
Explore the practiceWhere AI you have built gets protected properly. Cloud security posture, secure DevOps and code control, engineering capability and modernisation.
Explore the practiceWe will map the AI activity already visible in your organisation against the four questions — advantage, risk, control and ownership — and show what a full AI Defensibility Review would uncover.
Arrange the briefingNo preparation required. No obligation to proceed.