The Impact of AI on DevSecOps Organizations
summary
Claims a five step AI augmented DevOps plan and seven modalities and shows real experiments: an intentionally vulnerable Python CTF, a Tier 1 FAQ chatbot, incident log predictive models and an Terraform pull request reviewer built as a GitHub app using CLA 3.7 and Core AI in Python that runs ~20–30 LM calls, invokes safe bash tools, emits module guidance and largely works with humans in the loop while exposing hallucination, token limit and cost tradeoffs.
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chapters (8)
- 0:00AI in DevSecOps intro
- 1:29AI-augmented DevOps plan
- 5:24AI integration modalities
- 9:39Agentic AI and MCP
- 12:46Tracking AI achievements
- 15:16Terraform PR automation demo
- 31:57Challenges and future
- 33:45Q&A
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