Editorial: Hiding in the Dark – Shadow AI Risks to Business

Shadow AI refers to the use of artificial intelligence without the knowledge, approval, or regulation of an organization’s IT or security teams. This occurs when employees adopt publicly available AI tools or free online models outside of established controls. Because AI tools are often built into everyday software, shadow AI often grows unnoticed and quickly, creating blind spots for organizations.

While most uses of shadow AI are not malicious and are often just employees trying to increase efficiency, it opens the door to many cyber risks that employees may not even consider. Therefore, shadow AI should not be ignored by organizations, but treated as a problem that needs to be addressed.

ignorance is not bliss

sophos The future of cybersecurity in Asia Pacific and Japan in 2025 The report found that almost a third (32%) of Australian organizations reported the use of shadow AI by their employees. A significant portion of the workforce is experimenting with powerful technologies without proper governance or oversight. This risk becomes even more pressing when you consider that the report also found that 30% of Australian organizations still do not have a formal AI strategy.

Shadow AI tools are not approved by IT leaders and are not vetted for security, privacy, or data handling practices, significantly expanding an organization’s attack surface. A company’s sensitive data, customer records, or intellectual property can be input into publicly available AI models.

In some cases, shadow AI tools can be infected with malware and infiltrate your organization. Worryingly, a Sophos report found that 31% of organizations in Asia Pacific discuss vulnerabilities in the AI ​​tools they use, potentially exposing their organizations.

Highly regulated industries such as finance, telecommunications, public sector, and critical infrastructure are prone to poor data handling and compliance challenges when AI is used inappropriately. Businesses are facing increasing scrutiny for maintaining strong data protection, and as seen in recent cases, companies that don’t comply can face hefty fines. Australian clinical research institute pays $5.8 million in civil fines For preventable data breaches.

Therefore, when looking to improve data processing for employees and customers, it is essential for organizations to assess their internal use of shadow AI and strategize how to mitigate it.

Improved visibility means improved safety

Organizations need to consider how to balance AI innovation and governance. To reduce shadow AI cyber risks and ensure responsible data management, Australian businesses must prioritize:

• Increased visibility: A strong AI governance framework should follow a zero trust mindset and rely on continuous monitoring. Organizations need visibility into who is using AI tools, what data is being accessed, and how that information moves through the system. AI creates a new and complex attack surface, requiring protections to be extended across all layers: data, identity, endpoints, and user behavior.

• Put your AI policy to work: Many companies draft AI policies, but those documents alone cannot create real change. What is needed is an awareness program that does more than outline technical rules. Employees need to be equipped and trained to recognize when they are using external AI tools and understand that data governance is not just an administrative requirement, but essential to protecting the organization.

• Guidance from the top: Outright bans rarely work because they tend to push the use of AI out of sight rather than preventing it. Leaders, especially CISOs and technology decision makers, must instead guide their teams toward approved, secure, and properly monitored AI solutions. Shadow AI thrives when innovation is constrained or when IT is seen as an obstacle. Companies need to reverse this dynamic by encouraging responsible experimentation while setting firm boundaries and expectations about how AI is used.

As Australian businesses venture further into exploring artificial intelligence, innovation can no longer be seen as contradictory to security and governance, but all aspects must work together. Shadow AI is not going away. Human curiosity and the desire for faster, more efficient processes will continue. The real question is whether organizations are ready to improve governance and visibility or risk leaving the door open to potential data breaches and penalties.

Australian organizations that act now by building viable frameworks, increasing oversight and holding employees accountable will not only reduce risk but also leverage the potential of AI to transform processes and operations across their business.

AI is not the enemy. Unsupervised AI.