GPT3+ Models in Cybersecurity Tasks
summary
Overview of how GPT-3‑style and newer large language models are already being applied in cybersecurity by defenders, developers, and administrators. Covers concrete use cases, workflows and practices for using these models in security tasks (e.g., automation, analysis and tooling integration).
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chapters (31)
- 0:00Introduction
- 1:12What is GPT3+
- 3:46SAST analyzer problems
- 6:12GPT as code analyzer
- 7:18Vulnerability fix generation
- 8:45Vulnerable code use
- 9:52Exploits and model limits
- 10:57Web app testing
- 12:22Business logic vulnerability search
- 13:49Threat generation for business cases
- 15:14Security team training
- 16:22Content generation and articles
- 17:26Dependency vulnerability handling
- 18:51Data relevance and limits
- 20:35GPT in development
- 22:40Config and policy generation
- 24:07Log and anomaly analysis
- 24:50GPT in reverse engineering
- 25:52Social engineering and phishing
- 27:39Fake review problem
- 28:23Data security and biases
- 30:11Content as new currency
- 30:53Data leaks and local models
- 32:00Expert result review
- 33:05Summary and recommendations
- 34:10Q&A 1
- 36:15Q&A 2
- 38:00Q&A 3
- 40:10Q&A 4
- 42:16Q&A 5
- 44:50Q&A 6
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