--- title: "AI SAST: Code Security for the Agentic SDLC" url: https://daily.dev/posts/ai-sast-code-security-for-the-agentic-sdlc-sxvc4pirt source_url: https://sdtimes.com/static-application-security-testing/ai-sast-code-security-for-the-agentic-sdlc type: article source: "SD Times" published: 2026-08-21T18:55:43.662Z updated: 2026-08-21T18:56:08.348Z tags: ["c", "ai-coding", "appsec"] reading_time: 4 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI SAST: Code Security for the Agentic SDLC **[SD Times](https://daily.dev/sources/sdtimes)** · 4 min read · 0 upvotes · 0 comments ## Summary Endor Labs has released an AI-powered Static Application Security Testing tool designed for C code, aiming to address long-standing weaknesses in traditional SAST scanners around macros, pointers, and cross-function bugs. The company claims its AI SAST caught 96 of 102 known vulnerabilities across four embedded C projects, outperforming pattern-based SAST tools by 48x and beating frontier models Claude and Codex in benchmark trials. Rather than relying on pattern matching, the tool combines deterministic program analysis (call-graph and reachability mapping) with LLM reasoning over that structured context. It runs both locally during development and on pull requests, pairs with Endor's C SCA offering, and is part of the company's AURI platform intended to serve as an independent review layer for AI-agent-written code. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How does Endor Labs' AI SAST tool compare to traditional pattern-based SAST scanners for finding vulnerabilities in C code? Endor Labs' AI SAST caught 96 of 102 known vulnerabilities across four embedded C projects, which the company reports is 48 times better than the next best buildless pattern-based SAST tool. Instead of matching code patterns, it uses a call-graph and reachability engine combined with LLM reasoning to trace data flow across functions and files, reducing both missed bugs and false positives. _Track new approaches to code security tooling like this on daily.dev as AI reshapes C vulnerability scanning._ ### Can AI SAST tools outperform frontier models like Claude and Codex at finding security vulnerabilities in code? Yes, according to Endor Labs' benchmark trials, its AI SAST tool outperformed frontier models Claude and Codex as well as four traditional SAST tools at detecting vulnerabilities in C code. The reasoning is that a frontier model pointed at a repo reasons well but only reads a slice of the codebase, whereas AI SAST pairs deterministic program analysis with LLM reasoning over the full, structured codebase context. _Developers comparing AI models and dedicated security tooling can follow these benchmarks on daily.dev._ ### Why do traditional static analysis (SAST) tools struggle to catch bugs in C code? Traditional SAST tools struggle with C because macros, #ifdefs, and per-config builds mean the code being analyzed often isn't the code actually on disk, forcing tools to hook the compiler to reconstruct it. Pointers also defeat dataflow analysis by causing either over-approximation (noise) or under-approximation (missed bugs), and C's memory-safety bugs like buffer overflows and use-after-free span functions in ways pattern rules can't express well. _Teams securing legacy and AI-written C codebases can keep up with tooling advances like this via daily.dev._ ## Similar posts on daily.dev - [What is AI SAST?](https://daily.dev/posts/what-is-ai-sast--ulp7q7jo3) · Aikido Security · 0 upvotes · 0 comments - [Introducing our open source AI-native SAST](https://daily.dev/posts/introducing-our-open-source-ai-native-sast-ufkhzq6e7) · Datadog · 16 upvotes · 0 comments - [How pairing SAST with AI dramatically reduces false positives in code security](https://daily.dev/posts/how-pairing-sast-with-ai-dramatically-reduces-false-positives-in-code-security-r208wlnco) · InfoWorld · 0 upvotes · 0 comments --- Tags: [#c](https://daily.dev/tags/c), [#ai-coding](https://daily.dev/tags/ai-coding), [#appsec](https://daily.dev/tags/appsec) [View this post on daily.dev](https://daily.dev/posts/ai-sast-code-security-for-the-agentic-sdlc-sxvc4pirt)