# NIST Explores AI's Growing Role in DevSecOps Page: https://stenobird.com/podcast/govcio-media-research-podcasts-236090/nist-explores-ai-s-growing-role-in-devsecops Text version: https://stenobird.com/podcast/govcio-media-research-podcasts-236090/nist-explores-ai-s-growing-role-in-devsecops.md Podcast: [GovCIO Media & Research Podcasts](https://stenobird.com/podcast/govcio-media-research-podcasts-236090) Published: 2026-09-01T12:00:00+00:00 Episode link: https://govciomedia.com/podcasts/ Audio file: https://traffic.libsyn.com/secure/governmentcio-media-govcast/CyberCast_Mike_Ogata.mp3?dest-id=785468 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/govcio-media-research-podcasts-236090/episodes/nist-explores-ai-s-growing-role-in-devsecops Duration seconds: 207 ## Resource The National Institute of Standards & Technology (NIST) is expanding its DevSecOps research to explore how artificial intelligence can support software development and security workflows. Michael Ogata, a computer scientist at NIST, discussed how AI and large language models are being applied to coding, testing, security evaluation and vulnerability remediation. He also outlined NIST's emerging focus on agentic AI, including how organizations can establish identities and credentials for AI agents, authorize their actions and ensure those actions remain traceable to accountable human users. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/govcio-media-research-podcasts-236090/episodes/nist-explores-ai-s-growing-role-in-devsecops/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/govcio-media-research-podcasts-236090/nist-explores-ai-s-growing-role-in-devsecops.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.