Operations | Monitoring | ITSM | DevOps | Cloud

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.

Learn how AI handles different types of testing, from simple unit tests to complex end-to-end setups. Discover where AI succeeds in writing test code and where human strategy is still needed. Learn more: speedscale.com.

Learn how to test your application's fallback mechanisms by intentionally injecting chaos and simulated dependency failures into recorded API traffic. Easily configure scoped rules to inject status code errors or delays during mock runs to verify your app handles failure gracefully. Learn more: speedscale.com.

Cloud and AI spend in one place, tied to the teams, products, and customers behind it. Your bill tells you what you spent. CloudZero tells you why, and whether it paid off. This quick tour shows how CloudZero pulls cost from AWS, Azure, GCP, Kubernetes, Snowflake, OpenAI, Anthropic, and more, then allocates it to what your business actually cares about. No perfect tagging required.

AI factories don't sell floor space. They produce tokens, the currency of intelligence, and every jump from Hopper to Vera Rubin packs in up to 4x the density. Training wants one giant site. Inference wants to be as close to you as physics allows. So the panel maps out what comes next: edge data centres of 5 to 50MW, handing work between your watch, your phone and the cloud at the lowest possible latency.

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?