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Was this the worst week in cybersecurity? AI-discovered PHP2Shell vulnerabilities, the LiteLLM supply chain attack, and reports of unauthorized AI agents accessing bank accounts are exposing serious weaknesses in software security. But is this really a cybersecurity problem, or has AI exposed decades of poor software engineering decisions? In this episode of ShipTalk, Martin Reynolds and Adam Arellano break down a remarkable week in AI security and debate whether engineering or security teams should be responsible for fixing what comes next.

China’s AI and chip stocks have fallen sharply, raising a bigger question: could the same thing happen in the U.S.? With Microsoft, Alphabet, and Amazon reporting earnings, investors are looking for signs that cloud growth can justify the enormous sums being spent on AI. Is this a warning for the U.S. market, or can Big Tech’s AI investments deliver the growth investors expect?

Microsoft is offering voluntary buyouts to 60,000 employees—more than a quarter of its workforce—while investing billions into AI infrastructure. But here's the bigger question: What happens when experienced engineers leave and AI-generated code keeps accelerating? AI can write code faster than ever. But deploying it safely, securely, and at scale? That's becoming the real bottleneck. Is Microsoft funding AI with headcount instead of efficiency?

A hidden recording device. A former OpenAI engineer. And a possible connection to the Saudi government. What started as a suspicious discovery behind a television inside OpenAI has turned into a federal investigation with potential national security implications. The FBI is investigating whether former OpenAI engineer Abdulrahman Alfozan was involved in corporate espionage, with prosecutors pointing to alleged connections to a member of the Saudi royal family.

Microsoft just released over 1,400 security patches, including three zero-day vulnerabilities, one of which is already being exploited. But is this a sign of better security or a much bigger problem? In this ShipTalk discussion, we break down Microsoft's massive Patch Tuesday release, the challenges of managing thousands of vulnerabilities across enterprise environments, and whether AI is helping Microsoft find problems too late in the software development process.

AI is making code generation faster than ever. But writing code is only half the battle. Neil Watkins from Burns & McDonnell explains why the next big challenge in AI-driven software development isn't generating more code. It's making sure that code can be tested, secured, and deployed safely. As AI accelerates development, businesses need to rethink how they manage risk and ship software with confidence.

What if we could eliminate vulnerabilities before they become a problem? Neil Watkins from Burns & McDonnell explains how AI, automated security assessments, and Harness CI/CD capabilities could transform vulnerability management. From reducing attack surfaces to rapidly responding to critical zero-day vulnerabilities, the future of security is about moving faster without slowing down developers.

An OpenAI engineer was arrested after a hidden recording device was discovered inside an executive conference room. Who was he trying to record, and who was the information intended for? Martin Reynolds and Adam Arellano break down one of the strangest AI security stories of the year, along with three major cybersecurity headlines. Microsoft just released more than 1,400 security fixes in a record-breaking Patch Tuesday. Is AI finding vulnerabilities faster than companies can actually fix them?

AI is writing code faster than ever. But what happens after the code is written? Harness CEO Jyoti Bansal introduces four AI agents built to automate the software delivery lifecycle: Software Delivery Agent – Automate builds, deployments, and infrastructure management. Security Testing Agent – Find, prioritize, and fix vulnerabilities with AI. Runtime Protection Agent – Protect applications, APIs, and AI agents in production.

Control AI spending across your organization with Harness Cost Management Agent's AI User Budgets. In this demo, see how Harness helps teams set, monitor, and enforce AI spending limits across tools like Claude, Cursor, and Amazon Bedrock, all from one centralized control plane. What you'll learn: Set weekly AI spending budgets for users and teams Track AI consumption across multiple tools and models.