AI in AppSec: Strengths, Weaknesses, and Non-Determinism
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
AI in AppSec: Strengths, Weaknesses, and Non-Determinism
-
ナレーター：
-
著者：
このコンテンツについて
Finding vulnerabilities in modern web apps using Claude Code and OpenAI Codex | Semgrep," focuses on a security research experiment conducted by Semgrep to assess the effectiveness of AI Coding Agents, specifically Anthropic's Claude Code and OpenAI Codex, in identifying vulnerabilities within real-world web applications. The research highlights that while these AI tools can find genuine security flaws, they suffer from high false positive rates and significant non-determinism, meaning they produce inconsistent results with repeated scans. Semgrep also details its comprehensive security platform, which offers various tools like static application security testing (SAST), software supply chain analysis (SCA), and secrets detection, aiming to provide more reliable and consistent code security solutions.
Send us a text
Support the show
Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.