How organizations can mitigate shadow AI without stifling innovation

Shadow AI is on the rise, and it’s causing problems for organizations.

A recent study by MIT revealed that over 90% of employees use personal AI tools and only 40% of organizations manage official usage.

Additionally,  IBM’s recent report found that 97% of organizations experienced AI-related cybersecurity incidents, yet most still lack governance.

A great game of tug-of-war has broken out in the cybersecurity landscapes: should organizations limit the use of shadow AI, and potentially stifle the creativity and opportunities that come with it, or should they let it run wild, and eat the risk of exploitation that comes with it?

Could there be a middle ground that seeks ...