Machine‑assisted AppSec — or how to fire people..
summary
The talk examines how machine learning could automate many AppSec tasks and potentially displace IT security roles. It discusses existing ML-based solutions, current research and trends in applying machine learning to application security, and evaluates whether security professionals should consider changing career paths now.
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chapters (11)
- 0:00Introduction
- 3:55Automation in AppSec
- 7:32Automated vulnerability detection
- 12:03Software 1.0 vs 2.0
- 17:52Fuzzing automation
- 24:40Code coverage and tests
- 30:25Developer error detection
- 36:51Static and dynamic analysis
- 41:33Open source project classification
- 47:30ML in AppSec challenges
- 53:37Summary
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