The impact of AI on DevSecOps organizations
summary
Demonstrates concrete pilots: GPT‑3.5 generates a single‑file Flask app with deliberate vulnerabilities in one day for a CTF and it runs locally via Docker, a Slack export of ~1,200 top‑level messages feeds an analytics tool to build a Tier‑1 support chatbot, three years of incident records in Quickbase produce a predictive model to flag likely Sev‑1 causes, and AWS Forecast + Lambda pipeline precomputes hourly capacity forecasts for ~300 DynamoDB tables retrained weekly to cut throttling and cut costs.
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chapters (9)
- 0:00Introduction and team story
- 2:18AI as a practical translation tool
- 5:55Predictive vs generative AI in DevSecOps
- 7:18AI for support channel analytics
- 10:30Predictive incident avoidance models
- 12:33AI-driven DynamoDB scaling
- 22:27AI for Capture the Flag exercises
- 26:17AI-powered tabletop exercises
- 34:22Closing thoughts and Q&A
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