There’s a lot of excitement about generative AI going into 2026, but with such rapid widespread adoption comes real risk for your business if you don’t have the right kinds of security controls.
Recent reporting shows that incidents where sensitive data is exposed through generative AI have more than doubled compared with the previous year, with many of these issues being tied to unmanaged AI accounts that sit outside formal IT oversight.
Let’s clarify what the main AI-related security risks are that we’re seeing now and how managed services from Netsurit can help you strengthen your defences.
Shadow AI and Sensitive Data Escapes
Many cybersecurity teams build cyber resilience around authorised tools but overlook the fact that many employees use AI through personal or unmanaged accounts. This can result in them sending protected information to external services without any trail.
The latest data shows that a typical organisation sees hundreds of policy violations involving sensitive data each month, and many of those stem from tools that IT doesn’t control. Because these risks happen outside formal IT environments, traditional logging and detection tools can miss them entirely.
The Risks Hidden in Plain Sight
Generative AI tools create risk in multiple ways. Here are some of the most common scenarios:
- Unmonitored AI interactions exposing customer or employee data.
- Lack of access controls for who can use which models or APIs.
- Data leakage during prompt crafting where sensitive input is accidentally or casually included.
- Third‑party model training, where data sent to external systems is used in ways you don’t control.
These issues can affect compliance with data protection laws and industry standards.
What Managed Services Can Do To Strengthen Security
Managed IT services can help you put guardrails around generative AI use without blocking innovation or daily work. A good service provider with a security focus, like Netsurit, can help you:
- Gain visibility into how AI tools are being used across your systems so you know where sensitive data travels.
- Apply consistent security policies that cover both sanctioned and unsanctioned tools, reducing blind spots.
- Monitor and analyse activities continuously, including AI interactions, to detect unusual behaviour early.
- Educate employees on the risks of sharing internal data with public AI services.
Managed services can create stability and reduce the stress of juggling security incidents, giving you confidence that AI-related risks are being managed effectively.
If AI use is growing in your business and you want protection from data exposure, book a call with Netsurit today to discuss a managed service approach tailored to your security needs.
Frequently Asked Questions
- What are the biggest generative AI security risks in 2026?
The biggest risks include data leakage, shadow AI usage, lack of access control, and exposure of sensitive business information through unmanaged AI tools. These risks are increasing as AI adoption grows rapidly across organisations.
- What is shadow AI and why is it a security concern?
Shadow AI refers to employees using AI tools outside approved IT systems. This creates security gaps because sensitive data may be shared without monitoring, logging, or proper protection.
- How can generative AI lead to data leaks?
Data leaks can happen when users input confidential information into AI tools. If those tools are not controlled or monitored, the data can be stored, processed, or reused without the organisation’s knowledge.
- Why are unmanaged AI tools risky for businesses?
Unmanaged AI tools operate outside IT oversight, which means there are no security policies, access controls, or monitoring in place. This increases the risk of data exposure and compliance violations.
- How do managed IT services improve AI security?
Managed IT services provide visibility, monitoring, and policy enforcement across all systems. They help control how AI tools are used, detect unusual activity, and ensure sensitive data is protected.
- Can generative AI impact data compliance requirements?
Yes, improper use of AI can lead to violations of data protection laws and industry standards. Sharing sensitive or personal data through AI tools can result in compliance risks and potential penalties.
- What security controls should be in place for AI usage?
Businesses should implement access controls, usage policies, monitoring systems, and employee training. These controls help reduce risks related to data exposure and unauthorised AI use.
- How can businesses safely adopt generative AI?
Businesses can safely adopt AI by using managed services, setting clear policies, monitoring usage, and educating employees. This approach allows innovation while maintaining strong security and compliance.