"Shadow AI operates outside the visibility of security teams, bypassing controls and creating new blind spots. This phenomenon involves systems that process, generate, and potentially retain sensitive data, leading to uncontrolled data exposure."
"According to a 2024 Salesforce survey, 55% of employees reported using AI tools that had not been approved by their organization, highlighting the lack of clear AI usage policies."
"Integrating AI APIs or third-party models into applications without a formal security review can expose internal data and introduce new attack vectors that security teams cannot see or control."
Shadow AI is rapidly growing as employees adopt AI tools without IT approval, leading to uncontrolled data exposure and security risks. Many organizations lack clear policies, allowing employees to choose tools independently. This can result in sensitive data being shared externally, bypassing security measures. Integrating AI APIs without formal reviews further complicates security, creating new vulnerabilities. Organizations are not equipped to manage these risks, which include expanded attack surfaces and weakened identity security, necessitating a reevaluation of governance strategies.
Read at The Hacker News
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