ShipTalk - SRE, DevOps, Platform Engineering, Software Delivery
ShipTalk is the podcast series on the ins, outs, ups, and downs of software delivery. This series dives into the vast ocean Software Delivery, bringing aboard industry tech leaders, seasoned engineers, and insightful customers to navigate through the currents of the ever-evolving software landscape. Each session explores the real-world challenges and victories encountered by today’s tech innovators.
Whether you’re an Engineering Manager, Software Engineer, or an enthusiast in Software delivery is your interest, you’ll gain invaluable insights, and equip yourself with the knowledge to sail through the complex waters of software delivery.
Our seasoned guests are here to share their stories, shining a light on the do's, don’ts, and the “I wish I knew” of the tech world.If you would like to be a guest on ShipTalk, send an e-mail to podcast@shiptalk.io. Be sure to check out our sponsors website - Harness.io
ShipTalk - SRE, DevOps, Platform Engineering, Software Delivery
AI for Security vs Security for AI: From IBM Master Inventor to Microsoft AI Architect
Dewan Ahmed sits down with Fatih Bulut, AI Architect at Microsoft and former IBM Research Master Inventor, to separate hype from reality in AI for software delivery and cybersecurity.
Fatih clarifies AI for security vs security for AI, walks through detection engineering as real software engineering, and explains proactive defense across an attack’s phases. He digs into the hard part of shipping: execution, product alignment, and tight feedback loops with customers. On code generation, he calls out failure modes like plausible but wrong outputs and hard coded shortcuts, and raises open questions about responsibility and auditability when AI writes code.
The pair map AI across the SDLC, from pipeline generation and troubleshooting to vulnerability triage, then explore transformer limits with huge telemetry and why verifiable tasks such as code and math are near term wins. Fatih remains bullish on AI where outputs are testable and where context usage actually works at scale.
