We Fuzz, We Write, We Code and AI Cleans Up the Mess
summary
Presentation discusses practical cybersecurity techniques focusing on fuzzing and secure coding, with AI tools used to clean up and organize results or workflow. It covers hands-on methods for finding vulnerabilities via fuzz testing, best practices for writing safer code, and how AI assists in managing the resulting data and mess.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 1:05Why fuzzing automation
- 3:57Certwasa creation
- 5:23AI's role in process
- 9:57LLM for code generation
- 15:15AI for vulnerability detection
- 21:57False alarm reduction
- 25:36Optimization tools
- 26:17In vivo fuzzing in practice
- 28:45Fuzzing process tuning
- 29:27Case study: Unbound DNS
- 35:06Found vulnerabilities
- 37:56Future and possibilities
- 40:22Q&A
related talks
47mFuzzing Your Code
44mTL;DR: Applying AI to Security
42mDevSecOps: Fuzzing Source Code
39mMaking Fuzzing Part of Your Software Development Lifecycle
44mAn Introduction to Fuzzers
01h 02mPanel Discussion:The Present and Future of AI and Security
44mWhat Security Teams Need to Know and Do
14mAI for Web3 Security: Real-World Use Cases — Dr. Stefan Beyer
