Intelligence in AppSec: Use AI to supercharge DevSecOps
summary
Focuses on concrete results not promises: interactive training via Veracode Security Labs reduces remediation time by about 35% after one course, and 76% of apps still contain flaws so scale matters. Average manual fix takes 116–272 days; a closed‑loop proprietary system called Veracode Fix uses responsible AI to generate and apply code fixes, automatically resolving a large fraction of findings (example given: ~600 of 1,000) so developers spend time only on complex, nonautomatable issues.
AI-written summary · about
chapters (4)
- 0:00Introduction to DevSecOps challenge
- 2:07Developer training and empowerment
- 7:44AI-assisted flaw remediation
- 12:46Q&A
related talks
40mNurture vs. Nature in AppSec: Data-Driven Measurement of DevSecOps
43mThe State of AppSec in the Era of AI [Panel]
09mHow Much Trust Do You Have with LLM-Based Solutions?
38mAppSec is Dead Long Live DevSecOps!
46mBenchmarking AppSec Across Industries
44mFixing, not hunting: developing and deploying an AI assistant for vulnerability remediation
30mAppSec in a DevOps World
30mThe AppSec Error Loop: How We Can Stop Repeating Common Security Mistakes
