False Positives Cost Real Money, Even in the Age of AI 

Utilizing an AI-powered autofix might seem like a cure-all for application security. However, even the best autofix tool in the industry can still waste developer time if it’s trying to create fixes for false positives.  An AI autofix tool isn’t going to know if it's fixing a real problem or a false negative, so it’s important to ensure that your vulnerability scans are as accurate as possible from the start.  Don’t waste time fixing false positives!

Join us for an expert webinar where we explore:

• - Pre-AI Autofix Costs: Understanding the traditional impact of false positives, including lost developer time, internal friction, and alert fatigue.
• - Current Landscape: How AI-driven autofix can lead to "false fixes," where unnecessary fixes introduced can cost precious developer time and even introduce new issues.
• - How the scan informs the fix: The detection plays directly into the quality of the fix. Superior scanning technologies like the Code Property Graph (CPG) provide more accurate scanning but also improve fix quality.
• - Real-World Implications: You'll hear from industry experts on how organizations can cut these costs at the root by adopting more accurate SAST solutions.

Through real-world examples and expert insights, we'll show how minimizing false positives can save your organization time and money, reduce alert fatigue, and maintain the integrity of your security posture. Don't miss this opportunity to learn how you can protect your software and your budget in the age of AI.