Shadow AI: The Hidden Threat to Corporate Security

Organizations are facing a growing threat from 'shadow AI', where employees use unauthorized AI tools to process confidential data, often without IT's knowledge. This hidden technology can lead to significant data breaches and financial losses. According to IBM's Cost of a Data Breach 2025 report, 63% of organizations that suffered a data breach had zero AI governance policies or were in the process of developing them.

The statistics are alarming: companies using shadow AI had average breach-related losses of $770,000 more than those with little or no shadow AI. In India, the average cost of a data breach stood at INR220 million in 2025, an increase of 13% compared to the previous year. Shadow AI ranked among the top three breach-related cost items, costing almost ?17.9 million.

Employee behavior plays a significant role in exposing organizations to this risk. A survey by TELUS Digital found that 57% of enterprise staff using generative AI shared confidential or sensitive information with open-access AI products. This integration of AI applications with cloud infrastructure and company databases can lead to identity fraud and compromised security.

To mitigate this risk, organizations should treat the application of AI as an integral component of their cybersecurity strategy. Having tools such as AI inventory, identity and access management, data loss prevention, and clear regulations on what information can be transferred to external AI tools has become increasingly necessary.