As generative AI tools become common in business environments, a new cybersecurity risk is taking shape: shadow AI. Unlike traditional shadow IT, shadow AI refers to the unapproved and often hidden use of AI tools across the workplace — including ChatGPT, code assistants, and embedded AI in SaaS platforms.
According to Melissa Ruzzi, Director of AI at SaaS security firm AppOmni, shadow AI poses greater risks than shadow IT. These tools often have deep access to sensitive company data. If breached, the impact can be severe. What makes shadow AI more dangerous is its invisibility. Many generative AI tools are embedded within approved applications or accessed through third-party platforms. Traditional security systems, such as CASBs (Cloud Access Security Brokers), may not detect them.
Ruzzi warns that these tools often lack basic governance or security controls. They can accidentally access or expose personal and health-related data, putting companies at risk of violating major data protection laws. These include the EU’s GDPR, California’s CCPA and CPRA, and HIPAA in the U.S. Shadow AI can easily breach key privacy principles. These include data minimization, purpose limitation, and adequate protection for sensitive information. If left unchecked, it could lead to lawsuits, fines, or brand damage due to regulatory violations.
To address these risks, companies must take proactive steps. Ruzzi recommends deploying advanced SaaS security tools that scan app configurations and detect unauthorized AI use. Employee training is also critical. Staff should understand the dangers of using unapproved AI and follow clear internal policies. As AI becomes more embedded in daily workflows, businesses must stay ahead of emerging threats. Managing shadow AI is no longer optional. It’s a necessary step to protect data, stay compliant, and ensure trust in today’s AI-powered digital landscape.
Source:
https://www.technewsworld.com/story/beyond-chatgpt-shadow-ai-risks-lurk-in-saas-tools-179806.html
