Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A fire side chat from the heart with Ashley, reviewing 40 years in technology and career advice for uncertain times. What is the meta-narrative of a technology career? How can I differentiate myself in the tech career field? How can I differentiate myself among other job applicants? What is the next fun tech I could tackle? How do you keep a lifelong career fresh and fun? What are my options in a tech career?

Legacy tools like WAFs and API gateways weren't built for AI threats like prompt injections. Security must evolve.

Firewall policies are essential, but over time, they become cluttered, misaligned, and hard to manage. That complexity puts Zero Trust and audit readiness at risk. Cato’s Autonomous Policies for Firewall as a Service (FWaaS) change that. This video shows how Cato applies AI to continuously assess and optimize your firewall policy set, removing outdated rules, identifying gaps, and simplifying ongoing management.

Not all AI models are made to generate. Some are built to understand. Here’s the key difference: Generative models take in text and produce new text (think ChatGPT). Embedding models take in text and translate it into numbers, vectors that capture meaning. Why does that matter? Because embedding models let you turn documents into searchable vectors. That means when someone asks a question, you don’t need to search the whole doc, you just find the most relevant chunks based on meaning. And that’s what makes things like RAG (Retrieval-Augmented Generation) powerful and efficient.

Setting up a Database for MCP Server Analysis.