Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this demo, see how the Exabeam New-Scale Security Operations Platform integrates with Google Cloud Model Armor to detect and stop abuse of large language models (LLMs). You’ll learn how Exabeam: Monitors AI activity for suspicious or malicious behavior Uses advanced analytics to spot LLM misuse in real time Helps security teams enforce responsible AI use policies Watch how Exabeam and Google Cloud work together to provide stronger visibility, detection, and protection against emerging threats targeting LLMs.

In this episode of our AI Coding Tools series, we test Claude Sonnet 4.5 to see if it can build a secure note-taking app. The model claims to be the best in the world — but does it live up to the hype? We’ll cover how it codes, where it shines (or struggles), and how it stacks up against other AI coding assistants.

As AI agents increasingly automate complex B2B workflows, how do organizations ensure security and compliance? In this segment, A10 Networks' security experts, Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal, dive into the critical steps for securing AI deployments. Diptanshu emphasizes the importance of integrating AI agents into existing governance platforms, leveraging systems such as role-based access control and policy management.

This week on the podcast, we bring on WatchGuard's head of MDR data science Luke Wolcott to discuss the evolution of machine learning and artificial intelligence in cybersecurity. We dive into the differences in common (and uncommon) machine learning models, the pros and cons of supervised vs unsupervised learning, and why some of the coolest things happening in AI aren't the ones you hear about in the news.