Secure your use of AI

AI, or more precisely, Generative AI (GenAI) tools change your security profile and this will increase as you move from productivity tool to core business agent. You want to maximise your use of the benefits such tools bring in with minimum risk to security. 

CyberSolver helps you understand where the real risks are and what to do about them before anything goes wrong. Out approach is:

• Vendor-agnostic 
• Rapid, structured assessment 
• Built for SMEs and not-for-profits
• Risk-led, not compliance-led 

Why is action on AI risks important today?

GenAI uptake is accelerating and introduces risks that may not be obvious and which your existing controls weren't built for. Traditional security frameworks still apply but GenAI introduces a new class of vulnerability that requires a different approach. 

Immediate Risks

• Non-deterministic behaviour - unlike conventional software, AI models do not produce predictable outputs. Rule-based controls and guardrails can typically be bypassed in minutes, not hours. 
• Natural-language attack surfaces - prompt injection attacks require no technical expertise, just a carefully crafted input. The same interface that makes AI useful makes it exploitable. 

Growing Risks

• Deep integration with business data - tools like Microsoft Copilot access your business data based on existing permissions. Weak access controls, common in most organisations, become critical vulnerabilities. 
• Autonomous agents and agentic systems - as AI moves from assistant to agent, it gains access to systems and data at scale. A compromised agent with broad permissions is the equivalent of a rogue employee with system admin rights.

How it works

A risk-led assessment designed for how your business actually uses or plans to use AI. We focus on the areas of highest actual risk, not a box-ticking compliance exercise. The output is a clear, prioritised action plan. 

1. Understand your current AI footprint - we map how AI tools and models are currently being used across your organisation — including shadow AI that IT may not be aware of. 
2. Identify vulnerabilities specific to your environment - we assess your exposure across the key AI risk areas: prompt injection, access rights, data handling, model provenance, and cloud shared responsibility boundaries. 
3. Assess your near-term trajectory - we look ahead to where AI adoption is likely to take you, particularly the shift toward AI agents and integrated workflows and flag what needs to be in place before you get there. 
4. Deliver a clear, prioritised action plan - you receive a risk-ranked set of recommendations tied to your actual environment, aiming to be practical, proportionate, and ready to act on.