New Blog Post | Security for AI: How to Secure and govern AI usage

Today, at the Microsoft Secure online event, Herain and I discussed best practices for securing and governing AI usage. In this blog post, we provide detailed guidance on implementing the controls demonstrated during the session. 

 

Generative Artificial Intelligence (GenAI) is changing the game in the workplace. It sparks incredible productivity and innovation everywhere you look and across all kinds of industries and regions. According to a recent research study: 93% of businesses are either implementing or developing an AI strategy[1]. At the same time, about the same percentage of risk leaders say they're either underprepared or only somewhat prepared to tackle the risks that come with it. 

Generative AI creates an interesting conflict of both excitement and anxiety. It creates tension between the business benefits of innovation on one hand and the perceived security and governance risks that come with it on the other. To navigate these two conflicting emotions in organizations, it's crucial to first understand the specific risks that concern security and compliance leaders: 

• There's a real need for organizations to improve the visibility and control over their most critical asset - their data.
• More than 70% worry about overreliance on AI due to inaccurate data and almost 60% worry about harmful, biased, or distressing outputs.
• 55% expressed lack knowledge about the impact and how to respond to AI regulations, such as the EU AI Act, which is on the horizon.

 

 

Read the full post here: Security for AI: How to Secure and govern AI usage- Microsoft Tech Community