See every AI your people use. Secure every interaction.
Cybergen helps organisations adopt AI safely. We discover the AI tools, agents and coding assistants already in use, stop sensitive data leaking into them in real time, and give you the evidence to prove AI is under control, without slowing your people down.
Source: Microsoft and LinkedIn, 2024 Work Trend Index.
Illustrative example of AI usage visibility and controls
Your people are already using AI. What are they sharing?
Generative AI is now part of everyday work, with or without approval. Every prompt, upload and agent action is a new route for sensitive data to leave your organisation, and most security tools can't see it.
Hundreds of AI tools
- Chatbots and assistants
- AI coding assistants
- AI built into SaaS apps
- Personal AI accounts
- Autonomous AI agents
Your most sensitive data
- Customer and employee PII
- Source code and IP
- Contracts and client files
- Passwords and API keys
- Financial and health records
Outside your control
- Training third-party models
- Servers in high-risk regions
- Exposed in breaches and leaks
- GDPR and contractual breaches
- Actions taken by rogue agents
Blocking AI outright doesn't work: people simply move to personal devices. The answer is to make safe AI use the easy path.
Governing AI usage from four angles
Most AI controls look at one thing, usually the website. Cybergen looks at every AI interaction through four lenses and applies one policy across all of them, so decisions are precise rather than blunt.
The user
Who is prompting: their role, team and risk level.
The application
Which AI tool is involved, and whether it is sanctioned, shadow or an autonomous agent.
The data
What is being shared, from personal data and client information to source code.
The interaction
How AI is being used: prompts, file uploads and actions taken by agents.
Discover. Understand. Control. Prove.
A continuous cycle that turns AI from an unknown risk into a governed, measurable part of your business.
Discover
Find every AI tool in use, sanctioned or not.
- Browser and desktop AI
- AI inside SaaS apps
- Coding assistants and agents
Understand
See what data is flowing into AI, in real time.
- PII and client data
- Source code and IP
- Credentials and secrets
Control
Act at the moment of risk, not after it.
- Allow, warn, redact or block
- Policies by team and tool
- In-the-moment user coaching
Prove
Show it's working to auditors and the board.
- Immutable audit trail
- Feeds into your SOC and SIEM
- Framework-mapped reporting
Clear controls your people actually understand
Instead of silent blocks and frustrated users, people see why something was stopped and what to do instead. Your security team sees everything.
The user is coached, not just stopped
Warnings and blocks explain the risk in plain English and point people to the approved alternative, so behaviour improves over time.
Policy by team, tool and data type
Allow AI where it adds value and tighten controls only where the risk is real, all managed centrally.
Evidence for auditors and the board
A complete, exportable record of AI activity and decisions, streamed into your SOC and mapped to the frameworks you report against.
What effective AI security must deliver
Every Cybergen AI security design is tested against these six requirements. If a control can't meet them, we don't recommend it.
Beyond Copilot
One policy across every AI tool, including coding assistants and agents such as Claude Code and ChatGPT Codex, not just Microsoft 365 Copilot.
Block, don't just alert
Stop risky prompts at the point of entry, covering data leakage, profiling and bias risk, and prompt injection, rather than reporting them afterwards.
Per-team policy
Allow a tool for one team and block it elsewhere, enforced by the platform itself and covering web-based AI too.
Shadow AI discovery
Find unsanctioned browser AI tools, with detail down to the prompt and attachment, so nothing is hidden.
UK and EU data residency
Prompts and data stay in the UK or EU, and are never used to train models outside your own environment.
Rogue agent control
Log the commands, files and data that AI agents touch, and detect and contain actions that go beyond policy.
AI security services, end to end
We combine our own CREST-accredited expertise with leading AI security technology, chosen because we know it works. We design it, deploy it, tune it and run it with you.
AI risk assessment
Find out how AI is really being used across your organisation before you set policy.
- Discovery of sanctioned and shadow AI
- Sensitive data exposure analysis
- Executive briefing and risk report
- Prioritised recommendations
AI usage controls
Real-time controls across browsers, desktops, coding assistants and the network.
- Allow, warn, redact and block
- Per-team and per-tool policy
- User coaching at the point of risk
- UK and EU data residency
Secure AI access
Zero trust access to AI services, with inspection built into your secure access edge.
- Visibility of AI traffic
- Block high-risk AI destinations
- Consistent control for remote staff
- Integrated with your SASE strategy
AI governance and policy
Practical AI governance that people follow, mapped to the frameworks you report against.
- AI acceptable use policy
- ISO/IEC 42001 and EU AI Act readiness
- NIST AI RMF alignment
- Board and audit reporting
AI and LLM security testing
CREST-accredited testing of the AI applications and integrations you build or buy.
- OWASP LLM Top 10 coverage
- Prompt injection testing
- Data leakage and excessive agency
- Clear remediation guidance
Managed AI security
Ongoing management of your AI controls, backed by 24/7 monitoring and response.
- Policy tuning as AI evolves
- AI events in your 24/7 MDR
- Regular AI risk reviews
- Incident response if things go wrong
From AI blind spot to AI under control
A phased rollout that delivers visibility quickly and avoids disrupting the people already getting value from AI.
See the real picture
We discover the AI tools in use and the data flowing into them, and brief your leadership on the risk.
Agree the policy
Together we decide what is approved, for whom and with which data, and map it to your frameworks.
Monitor, then enforce
Controls go live in monitor mode first, then move to warn, redact and block once the impact is understood.
Prove and improve
Ongoing tuning, reporting and 24/7 monitoring as new AI tools and threats appear.
Mapped to the standards you report against
| Framework | What it asks of you | How Cybergen helps |
|---|---|---|
| OWASP Top 10 for LLM Applications | Protect AI applications against risks such as prompt injection, sensitive information disclosure and excessive agency. | CREST-accredited AI and LLM testing, plus controls that block injection and data leakage at the point of use. |
| NIST AI Risk Management Framework | Govern, map, measure and manage AI risk across its lifecycle. | AI risk assessment, risk register and governance model aligned to the framework's functions. |
| ISO/IEC 42001 | Run an AI management system with policies, controls and continual improvement. | Readiness assessments, policy and control design, and evidence collection built on our ISO 27001 experience. |
| EU AI Act | Understand your AI use, manage higher-risk systems and keep records. | AI inventory, usage logging and oversight controls that support your compliance programme. |
| UK GDPR | Protect personal data, including when it is processed by AI tools and suppliers. | Real-time detection and redaction of personal data, UK and EU data residency, and audit trails for your DPO. |
Expert guidance from our team
What is AI security?
AI security is the set of controls, policies and testing that let an organisation use artificial intelligence safely. It covers how employees use AI tools, what data is shared with them, the AI applications and agents you build or buy, and the evidence you need to show regulators, customers and your board that AI is under control.
What is shadow AI?
Shadow AI is any AI tool used at work without the approval or knowledge of IT and security, such as a personal chatbot account, a browser extension or an AI feature switched on inside a SaaS application. It creates blind spots where sensitive data can leave the organisation unseen.
Should we just block AI tools?
Blanket blocking rarely works. People move to personal devices and accounts, and the business loses the productivity benefits. Cybergen helps you allow AI safely: approved tools for the right teams, real-time warnings and redaction for risky prompts, and blocks only where the risk is unacceptable.
Can you control AI coding assistants and AI agents?
Yes. Our controls go beyond Microsoft 365 Copilot to cover coding assistants and agents such as Claude Code and ChatGPT Codex. We log the commands, files and data that agents touch, and help you detect and contain actions that fall outside policy.
Will prompts and data stay in the UK or EU?
Data residency is a core requirement in every Cybergen AI security design. We prioritise approaches where prompts and inspection data stay within the UK or EU, and where your data is never used to train models outside your own environment.
Which frameworks does AI security help with?
Cybergen maps your AI controls to the OWASP Top 10 for LLM Applications, the NIST AI Risk Management Framework, ISO/IEC 42001, the EU AI Act and UK GDPR, as well as ISO 27001 and Cyber Essentials. That gives you audit-ready evidence rather than a policy document nobody follows.
How long does it take to get started?
Most organisations start with an AI risk assessment, which shows how AI is really being used and where the risks are. Controls can then be rolled out in monitor mode first, so you understand the impact before you enforce anything.
Can you test our own AI applications?
Yes. Our CREST-accredited testers assess AI-enabled applications and LLM integrations against the OWASP Top 10 for LLM Applications, including prompt injection, insecure output handling, sensitive information disclosure and excessive agency.
Find out how AI is really being used
Start with a clear picture. Our AI risk assessment shows which AI tools your people use, what data is flowing into them and where your biggest risks are.
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