Shadow IT refers to software and resources introduced into an organization’s network without official approval, creating various risks, including operational inefficiency and regulatory non-compliance. Employees often engage in shadow practices, believing they enhance their productivity, which leads to an alarming rise in unauthorized applications. Notably, the emergence of Shadow AI has escalated risks, as using unsanctioned generative AI tools broadens the attack surface, increasing incidents of data breaches that cost organizations hefty sums.
Research indicates that about 80% of workers utilize Shadow IT, introducing complexities in compliance with stringent regulations like HIPAA and GDPR. The lack of oversight on these tools leaves organizations vulnerable to fines and data breaches, exposing sensitive information and creating silos that further complicate workflows. The real challenge lies in the necessity of maintaining visibility over these unauthorized systems. Instead of aiming to eliminate Shadow IT and Shadow AI entirely, organizations should focus on smarter control mechanisms to manage risks more effectively, using real-time network monitoring to identify unauthorized activities and gaps in compliance.
👉 Pročitaj original: CIO Magazine
