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AI security solutions

AI Security

Adopt AI with confidence - see which AI tools are in use, keep sensitive data out of them and put guardrails around your own AI applications.

AI Security: overview

AI security lets you adopt generative AI with confidence. SecureBeans helps you discover shadow AI - which AI tools and copilots employees use, and with what data - extend DLP and sensitivity labels so confidential data stays out of public AI models, and protect your own LLM applications against prompt injection, data leakage and misuse.

We deliver AI security with Microsoft (Purview, Defender for Cloud Apps and Entra) and align it with your AI governance and compliance programme.

What's included

Technology partners

Delivered with

We design, deploy and support these vendors' products - and stay vendor-neutral in our advice.

Microsoft
In depth

AI Security at a glance

Security for AI and secure AI adoption

Generative AI is already in use across most organisations, often without approval. Security for AI starts by discovering shadow AI - which tools and copilots employees use and what data they share - and then putting AI governance policies in place for secure AI adoption.

AI data security with Microsoft Purview

We extend sensitivity labels and DLP with Microsoft Purview so confidential information stays out of public AI models, and configure AI data security controls for Microsoft 365 Copilot and other assistants.

Generative AI security, LLM security and AI agent governance

For your own applications, generative AI security means testing for prompt injection, data leakage and misuse, and applying LLM security controls at the gateway. As AI agents act on your behalf, AI agent governance treats agentic identities like privileged users - with scoped permissions, approvals and full audit trails.

FAQ

AI Security - frequently asked questions

What is shadow AI?

Shadow AI is the use of AI tools, chatbots and copilots by employees without the organisation's approval or oversight, often with sensitive company data.

How can we stop employees leaking data into ChatGPT or other AI tools?

Discover which AI apps are in use, block or restrict unapproved ones, apply DLP and sensitivity labels to prompts and uploads, and give staff an approved, enterprise-grade AI alternative.

What is prompt injection?

Prompt injection is an attack in which malicious instructions hidden in input data trick a large language model application into ignoring its rules, leaking data or taking unintended actions. Guardrails, input filtering and least-privilege design reduce the risk.

Not sure where to start?

Book a 30-minute security architecture review with our engineers.