AI is transforming productivity across every industry—from marketing and design to legal and engineering. But while employees rush to embrace tools like ChatGPT, Gemini, and Microsoft Copilot, many are using other tools without oversight from IT or security. As this grassroots usage grows, so does the volume—and sensitivity—of data flowing into AI tools.
This week on the podcast, we bring in Adam Winston, former CSO of ActZero and current Field CTO for Managed Services at WatchGuard to discuss automating the SOC with AI. We cover the history of AI in SecOps, the good and bad applications of AI and Machine Learning, what the future looks like, and how compliance might impact our ability to get there.
This tutorial provides a complete guide to deploying Astra Traffic Collector inside a Linux-based VM across cloud platforms like AWS, GCP, Azure, or DigitalOcean. It includes all necessary installation steps and configuration best practices for traffic monitoring in VM environments. In this video, we cover: This guide is designed for DevOps, security engineers, or platform teams looking to integrate deep traffic visibility into their environments with minimal overhead.
This tutorial provides a complete walkthrough for setting up AWS VPC Traffic Mirroring to enable packet-level monitoring with Astra’s API Security platform. You'll learn how to configure a scalable and production-ready environment using Network Load Balancers, Nitro-based EC2 instances, and properly filtered traffic sessions. The guide includes: It also covers key assumptions, unsupported configurations (like classic/Xen instances), and best practices for a secure and efficient deployment.
Let’s face it: The cloud has become the go-to platform for modern infrastructure—and for good reason. Scalability, flexibility, and speed are hard to beat. But as organizations increasingly rely on the cloud to run their critical operations, the threat landscape is evolving just as fast. And attackers? They’re getting smarter, stealthier, and more cloud-savvy by the day. That’s why monitoring cloud network traffic is no longer optional—it’s essential.
In this post, we introduce our “Adversarial AI Explainability” research, a term we use to describe the intersection of AI explainability and adversarial attacks on Large Language Models (LLMs). Much like using an MRI to understand how a human brain might be fooled, we aim to decipher how LLMs can be manipulated.
With the pace of growth in financial services accelerating, fintech is, in real terms, the new normal, not the new disruptor. Cloud technology has fueled this revolution, equipping companies with tools that can be scaled quickly in response to customer demands and market needs, and enabling cost savings that can be passed on to these customers.