The AI Challenge.
Your competitors are already using AI assistants, automation and intelligent agents. The question isn't whether to adopt AI, it's how to do it safely. BMS Cyber Defence makes AI adoption secure, compliant and stress-free for UK SMEs.
AI is transforming how we work, but it's also a new playground for attackers. Agentic AI tools, which can autonomously browse the web, manage calendars and run system commands, are powerful but a double-edged sword. If misconfigured, an AI assistant isn't just a helper: it's a privileged insider that can be socially engineered via prompt injection or exposed to the public internet.
What Makes AI Security Different?
Traditional cyber security focuses on defending networks, servers and databases. AI security requires a different approach entirely.
Autonomous AI agents, data exposure at scale, supply chain complexity, developer pipeline risks and regulatory uncertainty are just some of the issues to be aware of in the new AI landscape.
Securing Microsoft Copilot
Empower your team with Microsoft Copilot while keeping absolute control. We secure your AI deployment through scope-limited permissions, read-only access and hardened prompt-injection defences.
Ensure compliance with industry standards using our custom risk registers and monitoring. Our AI Security Advisory produces a Copilot-specific policy document, a configuration checklist, and a monitoring dashboard that integrates with Microsoft Sentinel.
AI Security Education & Awareness Training
Tailored training delivered online or in person for leadership teams, IT staff, developers and employees using AI tools.
We deliver to groups of any size and can create bespoke materials featuring your branding. Sessions can be bite-size, with follow-up resources provided. Make sure your team understands how to use AI tools safely, recognise threats, protect sensitive data and avoid costly mistakes before they happen.
How It Works – Simple 3 Step Process
We keep things simple and offer bespoke packages to our varied clients.
Discovery Call
We learn about your AI stack, business goals and regulatory constraints.
Tailored Proposal
A clear scope, timeline and deliverables are sent for your approval.
Implementation & Handover
Our engineers execute the plan, provide documentation and train your team. Ongoing support is available on demand.
Are you experimenting with OpenClaw?
Check out our free OpenClaw Secure Setup Guide.
Why BMS Cyber Defence?
We specialise in SME reality
Large consultancies design for enterprise budgets and enterprise teams. We design for businesses like yours: practical solutions that work with the resources you actually have.
Local, accessible, human
Based in Telford, Shropshire, we serve SMEs across the UK. You'll speak with the same people throughout. No offshore call centres, no ticket queues, just expert advice when you need it.
Frequently Asked Questions
Most frequent questions and answers
We're rolling out Microsoft Copilot. What are the security risks?
Microsoft Copilot for Microsoft 365 can access every email, SharePoint document, OneDrive file and Teams message in your tenant unless explicitly restricted. That includes HR records, financial reports, customer personal data and proprietary IP.
Most organisations enable it tenant-wide without configuring sensitivity labels, DLP policies or permission scoping first, meaning any employee can ask Copilot to summarise confidential documents they shouldn't have access to. We assess your data landscape, identify oversharing risks, and implement controls before rollout, not after a data breach.
Do we need this if we're only using ChatGPT?
If you're using the free version of ChatGPT for general queries, probably not. But if you're using ChatGPT Enterprise, uploading business documents, building custom GPTs or integrating AI into internal workflows, then yes, you need a security review.
Data uploaded to AI platforms may be used for training unless explicitly disabled in enterprise agreements. Under UK GDPR Article 5(1)(c), you must ensure only necessary data is processed. "We don't know what it can access" is not compliant.
Our developers use GitHub Copilot. Is that a security risk?
Yes, if it isn't managed properly. GitHub Copilot suggestions are based on patterns from public repositories. If developers paste proprietary code or secrets into comments or prompts, you've potentially exposed them.
Copilot can also suggest insecure code patterns or outdated dependencies if not reviewed. We help implement pre-commit hooks for secrets detection, usage policies for what code can and cannot be shared, and code review processes that account for AI-introduced vulnerabilities. The OWASP Top 10 for LLMs identifies these as critical supply chain risks.
How long does an assessment take?
Typically 1–2 days for a focused AI security audit, with a written report and remediation roadmap delivered within a week. Microsoft Copilot pre-deployment assessments can be completed in 2–3 days.
Larger implementations, CI/CD pipeline reviews or multi-system environments may take longer. We'll scope it properly after an initial consultation.
Is this just for self-hosted AI like OpenClaw?
No. While the OpenClaw guide demonstrates our technical depth, our services apply to any AI deployment: cloud platforms (ChatGPT, Claude, Gemini, Microsoft Copilot), automation tools (Make, Zapier, n8n), coding assistants (GitHub Copilot, Cursor, Tabnine) and custom AI integrations via API. The frameworks (OWASP, NIST, NCSC, ISO 42001) apply universally.
What does UK compliance actually require?
Three main frameworks: the NCSC Guidelines for Secure AI System Development (international best practice), DSIT's AI Cyber Security Code of Practice (voluntary but increasingly expected), and ICO guidance on agentic AI under UK GDPR (legally binding).
For personal data processing, UK GDPR Articles 5 (data minimisation), 25 (privacy by design), 32 (security measures) and 35 (DPIA) all apply.
The Cyber Security and Resilience Bill will add supply chain obligations for MSPs and their clients. ISO/IEC 42001 provides an international AI management system standard. We help you navigate all of it.
How do you protect employee and personal data in AI systems?
We implement data protection by design using UK GDPR principles: purpose limitation (AI only accesses data for defined tasks), data minimisation (least-privilege access), storage limitation (retention policies) and security measures (encryption, access controls, logging).
For Microsoft Copilot, this means configuring sensitivity labels so AI cannot surface HR records, financial data or customer PII in chat responses. For self-hosted agents, this means scoping API permissions and requiring human-in-the-loop approval for actions involving personal data.
Is AI security just a one-off project?
Security is a journey, not a destination. AI models, platforms and threats evolve weekly. An agentic AI tool that was secure last month may have new capabilities or vulnerabilities today.
We offer Ongoing AI Governance as an advisory service to keep you updated on new UK regulations, such as the Cyber Security and Resilience Bill, and we help you refresh your AI risk register every 6 or 12 months, so your safe-AI posture doesn't decay as your teams adopt more advanced tools.