Your teams are already using ChatGPT, Copilot, and dozens of other AI tools inside daily workflows, most without a formal security review. CloudGuard’s AI Security Health Check gives growing businesses a clear, evidenced way to adopt AI with confidence: full visibility over every tool in use, governance your board and insurer can rely on. Not a brake on innovation.
Every one of these is common, not exceptional. Here’s what’s likely already true inside your business.
Some AI use is sanctioned. Most isn’t. 85% of organisations have employees running AI tools outside IT-approved controls, not through malice, just because the tools are useful and nobody said no yet.Â
You may already suspect this. You wouldn’t be alone: 72% of SMBs have deployed AI tools with no formal governance framework in place, which makes a confident answer to “are we covered?” hard to give right now.Â
Firewalls and CASB tools don’t read what’s inside a prompt. DLP flags a file leaving the business, not client data typed into a public chatbot by someone trying to work faster.Â
Attack patterns targeting AI agents and connected tools are growing at three times the rate of traditional threats, a category of risk most response plans were written before AI made it relevant.Â
If an AI agent were compromised tomorrow, would your team know what to do? Most playbooks were written before agents and copilots became part of daily operations, so they simply don’t say.Â
Each assessment closes a specific AI-shaped gap traditional tools were never built to see. Together, they build a single, evidenced picture of your AI risk, not six separate reports to reconcile yourself.
We map every AI tool touching your business, sanctioned and shadow, using CASB and Entra ID Conditional Access, so you know what’s in use and what data it can reach.Â
We test your AI agents’ MCP connections against 37 guardrails across 8 domains, catching excessive permissions and trust-chain weaknesses before an attacker does.Â
Using CloudGuard’s PIRM framework, we assess how your AI apps and agentic pipelines handle malicious input, a risk category firewalls and antivirus don’t cover.Â
Eleven purpose-built Sentinel KQL detections watch for anomalous agent behaviour and lateral movement across your AI toolchain, flagging threats as they emerge.Â
A single engagement benchmarked against the OWASP Agentic AI Top 10, delivering a maturity score and prioritised roadmap within two weeks.Â
We review or build the AI governance you need, policy, access controls, dev standards, detection rules, and an incident response plan, as a five-document pack ready for your board or auditor.Â
A five-document pack covering policy, access controls and incident response.
From £1,395
Map every AI tool touching the business, sanctioned and shadow, and what data each one can reach.
Purpose-built Sentinel detections that watch for anomalous agent behaviour and lateral movement.
Provides ongoing, automated analysis of your AI models, training pipelines, and underlying data to identify vulnerabilities, bias risks, and compliance gaps
From £3,995
Evaluates your organisation’s governance frameworks, controls and operational practices against recognised AI risk standards. Â
Equips your people with the knowledge to recognise, resist, and report AI-specific threats, from prompt injection and model manipulation to data poisoning and deepfake social engineering.
No lengthy discovery phase, no thirty-page framework to read before anything happens. Here’s exactly what changes with an AI Security Health Check.
We map every AI tool in use across your business, sanctioned and shadow, along with the data and permissions each one can reach. You start with an accurate picture, not a guess.
Your AI posture is benchmarked against the OWASP Agentic AI Top 10, mapped to ISO 27001, Cyber Essentials Plus, and Microsoft Purview AI Hub. We hand back a maturity score with a prioritised roadmap.
Purpose-built detection rules for agentic threats, anomalous agent behaviour, unusual API activity, lateral movement, surface issues the moment they appear, not weeks later in a review.
Our experts build or refine the governance you need: policy, access controls, development standards, and an AI-specific incident response plan, a five-document pack your board and insurer can actually rely on.
You don’t need a dedicated AI security function to know if this applies. A quick self-check. This isn’t a service for businesses trying to ban AI. It’s for businesses that want to keep using it, confidently, and with evidence to back that confidence up.
AI tools are already part of your business, Copilot, ChatGPT, Gemini, or similar, whether formally sanctioned or notÂ
You don’t have a dedicated AI security function, and don’t need one if the right partner is watching insteadÂ
A board member, auditor, insurer, or customer has recently asked how you’re managing AI riskÂ
You want to keep adopting AI, not slow down, but need to be able to defend that decision if challengedÂ
CloudGuard is embedded in the cybersecurity industry – recognised, accredited, and trusted to protect real organisations every day.
CloudGuard’s PROTECT Managed SOC Service provides complete 24/7 coverage by automating threat detection and response, backed by our fully-fledged Security Operations Centre in the UK.
Find out whether your organisation could withstand a genuine attack, not just whether it looks secure on paper.
Find out how well your organisation prevents, detects and responds to realistic attacker behaviour, with your own team involved every step of the way.Â
Copilot is built on Microsoft’s security stack, but “safe” depends on what it can already see. If your data isn’t classified and your permissions aren’t tuned, Copilot will surface anything a user is technically allowed to access, oversharing that existed quietly before now becomes visible in seconds. Securing AI reviews your Purview and Entra configuration first, so Copilot works with your existing access controls rather than exposing the gaps in them.
Shadow AI is any AI tool your employees use without IT approval or visibility, ChatGPT in a browser tab, an AI plugin, a free tool a team adopted without asking. 85% of organisations have it, usually without realising the scale. Our Shadow AI Discovery service uses CASB and Entra ID Conditional Access to identify every AI tool touching your business, sanctioned or not, and exactly what data each one can reach.Â
Most existing policies were written before agentic AI, MCP servers, and copilots became part of daily work, so they don’t cover prompt injection, agent permissions, or AI-specific incident response. You don’t need to start over, our AI Governance Framework Health Check reviews what you have and closes the specific gaps AI introduces, extending your existing policy rather than replacing it.
Done properly, it should do the opposite. Most delays around AI adoption come from uncertainty, nobody wants to be the person who approves a tool nobody’s reviewed. Clear governance, visibility, and monitoring let you say yes to new AI tools faster, because assessing and controlling them is already a repeatable process, not a fresh debate every time someone in the business wants to try something new.Â
The review looks at how AI tools are being used across your business, what data and permissions they can access, and where governance or security gaps may exist. It can also assess areas such as agent connections, prompt injection risks and unusual AI activity.
You receive a clear picture of your current AI risk, along with a maturity score and prioritised roadmap. Depending on the scope, this can also include updated governance documents, access controls, detection rules and an AI-specific incident response plan.
No lengthy sales process or year-long contract to evaluate first. Â
Pick a structured engagement. A full Actionable Insight Report within two weeks. A prioritised roadmap you can act on immediately. No commitment beyond the assessment itself.Â
