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AI for Security vs Security for AI: From IBM Master Inventor to Microsoft AI Architect
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Manage episode 505352254 series 2817626
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.
39 episodios
AI for Security vs Security for AI: From IBM Master Inventor to Microsoft AI Architect
ShipTalk - SRE, DevOps, Platform Engineering, Software Delivery
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on December 02, 2025 00:21 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 505352254 series 2817626
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.
39 episodios
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