Artificial intelligence is reshaping how organisations work, make decisions and defend themselves against modern cyber threats – but many leaders still feel uncertain about where the real risks and opportunities lie.
At our recent Summit, TrustLayer delivered a thought-provoking session that cut through the hype and focused on what businesses actually need to know about AI, cyber security and security awareness in 2026 and beyond.
Their talk explored how AI is already being used inside most organisations, the risks created by unmanaged tools, and the steps every business should take to stay secure while still gaining the full benefits of AI.
This blog breaks down the key takeaways and provides clear guidance for prospective clients looking to adopt AI safely and confidently.
AI Is Already in Your Business – Even If You Haven’t Officially Adopted It
While many organisations assume they’re still “exploring” AI, TrustLayer pointed out that most employees are already using it informally. Tools such as ChatGPT, Copilot and Gemini are being used to improve emails, refine presentations, translate content or speed up general admin tasks.
When asked how many organisations have visibility over which AI tools their employees are using, very few responded – highlighting a major blind spot. Without visibility, businesses face accidental data exposure, inconsistent practices, and compliance risks.
To put the scale into perspective, a report by McKinsey & Company found that 92% of companies plan to increase their AI investments over the next three years, reinforcing the importance of properly understanding how to manage AI.
The Benefits: Productivity, Better Decision-Making, and Increased Efficiency
TrustLayer highlighted that, when used intentionally, AI offers meaningful advantages across almost every business function:
- Greater Productivity: AI can automate repetitive or low-value tasks, freeing staff to focus on more strategic or client-facing work. For SMEs with limited resources, this can make a tangible difference in service delivery and efficiency.
- Enhanced Strategic Thinking: AI supports planning, analysis, and structured problem-solving, helping leaders make informed decisions more quickly.
- Cost Savings: When applied at scale, AI reduces time spent on manual processes, supports accurate forecasting, and helps teams respond faster to issues.
- Improved Communication and Content Quality: When employees safely rely on AI to refine emails, client-facing documents, and internal messaging, it creates a significant increase in quality and saves time.
The Risks: Data Leakage, Shadow AI, and Unreliable Outputs
Where AI introduces opportunity, it also introduces risk – especially when used haphazardly:
- Data Exposure Through Uploads: Employees routinely upload files, internal documents, or personal information into AI tools to refine or improve them. Without proper controls, this may result in corporate IP being stored in unknown systems, sensitive data being used to train external AI models, and compliance issues related to GDPR and industry regulations.
- Shadow AI Tools: While it may be tempting to block all unauthorised tools, this approach is rarely effective. Employees often find workarounds, such as using personal devices or accounts – increasing risk exposure.
- Misleading or Incorrect Output: TrustLayer shared an example where ChatGPT generated questions for a customer reference workflow… about the wrong company. Without human review, these errors could have resulted in reputational damage or lost deals.
- Compliance & Governance Risks: Without oversight, organisations cannot confidently answer where their data is stored, if it is being used to train external AI models, who has access to what, or what audit trails exist.
The Importance of an AI Policy: Guardrails Without Overcomplication
TrustLayer emphasised that organisations should treat AI the same way they treat any other business-critical application: with structure, defined usage, and governance. An AI policy doesn’t need to be a lengthy technical document.
Core components should include approved AI tools your teams can use, clear boundaries for what data can be uploaded, guidelines for reviewing AI outputs, data handling and retention rules, and compliance and monitoring processes.
This creates a shared understanding and prevents confusion and risk-taking behaviour.
Enterprise Licensing: Why Free Accounts Aren’t Enough
A key recommendation from TrustLayer was simple: avoid free AI tools for business use. Enterprise licences provide:
- Secure data environments.
- Optional isolation from model training.
- Stronger administrative controls.
- Usage logs and audit trails.
- Compliance-ready terms and conditions.
- Support and SLAs.
These are essential for any organisation taking cyber security and data protection seriously.
Visibility and Control: Why CASB Technology Matters
CASB technology gives organisations the visibility they need to understand exactly how employees interact with AI tools, from logins and uploads to the actions taken within each application.
Rather than simply blocking or allowing websites, CASB provides real oversight and enables intelligent, risk-based controls. This level of insight helps businesses enforce safe usage, prevent data leakage, and maintain compliance as AI adoption grows.
How Outbound Group Supports Safe AI Adoption
At Outbound Group, we help organisations embrace AI securely and confidently by strengthening their cyber security foundations and shaping practical, business-ready policies.
Our IT consultancy and support services provide ongoing security awareness training and deliver visibility across AI and cloud applications, giving leaders the insight they need to manage risk effectively. Above all, we support long-term IT improvement, helping businesses modernise without compromising compliance, data protection or productivity.
FAQs
- What is the biggest AI risk for SMEs right now?
Unmanaged employee use of AI tools. When staff upload data into unapproved systems without oversight, organisations lose control of where sensitive information goes. - Should we block all AI tools?
Not necessarily. Blocking everything often drives employees to use personal devices instead, which increases risk. A better approach is setting approved tools, applying policies, and monitoring usage. - Are enterprise AI licences worth the investment?
Enterprise licences offer essential security features such as controlled data handling, audit trails, compliance support, and administrator settings.
Join Our Upcoming Webinar: Explore AI, Risk, and Cyber Security in More Depth
If you want to dive deeper into AI adoption, security awareness, and the practical steps to manage AI risk, join our upcoming AI and cyber security webinar on the 17th March at 3pm in London.
Get in touch today and secure your place to learn how to turn AI into a safe, strategic advantage for your business.
