Let’s talk about SaaS: Shadow AI in NYC

The good thing is that AI has finally arrived, the bad news is that it's sneaking into products without proper IT and Security analysis. The cool kids are calling it 👻 Shadow AI. Hear from Suktika Mukhopadhyay of Snap and Josh Mullis, VP of Information Security at Productiv, and as they break down the rapidly evolving landscape of AI in SaaS applications, including:

• Shadow IT has evolved into shadow AI: What began as servers under desks has transformed into AI features automatically embedded in your SaaS applications—often without your knowledge or consent.
• 74% of SaaS providers implemented or tested AI by late 2023: And that was nearly 18 months ago. Today, AI features are being integrated everywhere, whether they add business value or not.
• AI brings unique risks beyond data privacy: From autonomous decision-making to potential bias in critical business functions, the impacts extend far beyond just "is my data being used to train models?"
• A four-step framework for managing shadow AI: Understanding your risk posture, prioritizing applications, establishing visibility, and implementing foundational controls can help organizations navigate this new challenge.

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