ReversingLabs

As the demand for AI capabilities grows, LLMs and other ML models are increasingly included in the software that we develop and consume.Of particular note are Pickle files, which represent 83.5% of all ML models. Their popularity has attracted the eye of threat actors and has become a new attack vector of choice.To help businesses stay ahead of the threat, ReversingLabs has developed the ability to detect malicious machine learning models and identify unsafe function calls during deserialization, flag unusual behaviors, and automatically classify models exhibiting these behaviors as suspicious or malicious.Join this webinar to learn:✓ What exactly ML models are and why they’re important ✓ The distinction between API and ML models and the role of each✓ Why ML models are so frequently shared and, unfortunately, abused✓ The serialization and deserialization process and how it’s used to spread malware✓ How ReversingLabs has developed the capability to detect ML malware before it can cause harmRegister Now

Devs - your role is critical in creating secure applications, yet given the current threat landscape it can be difficult to keep up with the latest threats and mitigation techniques. In this interactive discussion, app sec experts from Pangea and ReversingLabs will take you under the hood of common open-source and third-party code to expose the newest security threats. Discover how to detect and ultimately mitigate those threats in just a few simple steps. In this webinar, we will cover: ✓ Common and emergent malware types and where it can exist in your code ✓ How malware engines and malware scanning work, including insight into ReversingLabs’ approach to malware detection ✓ A live demo of Pangea’s FileScan, powered by Pangea + ReversingLabs Meet the Presenters: ✓ Bruce McCorkendale, Senior Product Manager, Pangea ✓ Pranav Shikarpur, Dev Advocate, Pangea ✓ Tim Stahl, Director of Field Threat Engineering, ReversingLabs