Market Guide
Enterprises face multiple AI risks and are most concerned with data compromise, third-party risks, and inaccurate or unwanted outputs. AI leaders must work with stakeholders across the organization to manage AI trust, risk and security. They should establish an organizational structure for creating and updating AI governance policies and for evaluating and implementing AI TRiSM technologies that enable and enforce these policies. This will help the organization systematically ensure safer, and more reliable, trustworthy and secure AI use.
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Through proper planning, collaboration, and governance, organizations can enjoy all the innovation benefits of AI while minimizing risk.
Gartner, Market Guide for AI Trust, Risk and Security Management, Avivah Litan, Max Goss, Sumit Agarwal, Jeremy D’Hoinne, Andrew Bales, Bart Willemsen, 18 February 2025
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What our clients say
"Adopting Concentric AI was a strategic decision that has fundamentally transformed our approach to data governance and protection Their solution has exceeded our expectations, setting a new standard for data security in our industry."
CISO & VP of Infrastructure at Baron Capital
“We started seeing value in the product even during the proof of concept. It identified a lot of areas where we had sensitive data that we didn’t even know about. That was a huge eye-opener for us, and it really helped us clean up and secure our environment. Concentric AI is a more specialized tool compared to Varonis, and what Concentric AI does, it does better.”
CIO at Southern Nevada Health District
"With Concentric AI, we've fortified our offboarding security while greatly improving how we manage data risk across the board. The level of insight and control we've gained over our data movement is unprecedented — like switching on a powerful spotlight in a previously dim room, revealing risks we didn't even know existed."
CISO at Cadence Design Systems