3 Ways To Maintain Safety When Using GenAI

This post was originally published on IT Pro Today

By Dana Simberkoff, AvePoint Chief Risk, Privacy and Information Security Officer

As businesses increasingly adopt advanced AI tools like Microsoft 365 Copilot to streamline operations and drive innovation, cyber threats are also rising, with 75% of security professionals witnessing an uptick in attacks in the last year. While AI tools offer numerous benefits, they also introduce significant data governance and security challenges.

According to Gartner, enterprises that fail to implement comprehensive AI Trust Risk and Security Management (AI TRiSM) controls are more vulnerable to security threats. Moreover, AI tools like Microsoft 365 Copilot lack native enterprise policy controls for GenAI, and traditional security measures are inadequate for addressing these threats. Here are three strategies to stay safe and avoid these threats’ monetary and business continuity costs.

Implement Comprehensive Data Classification and Labeling 

As many organizations are aware by now, AI effectiveness depends on high-quality, classified data—and without that, you won’t get the results you’re looking for from tools like Microsoft 365 Copilot or Salesforce Einstein. So, it’s important to invest in data classification and labeling processes to not only ensure data quality but also protect sensitive information with security measures like encryption and access controls. By categorizing and tagging data based on its content,

Read the rest of this post, which was originally published on IT Pro Today.

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