by DataDog · Agent Tool · ★ 44
Datadog Static AI Security Testing (SAIST) tool This project is an AI-Native SAST tool. Unlike traditional SAST tools that rely solely on parsing and analysis rules, this project uses LLM (e.g. Claude from Anthropic, GPT from OpenAI or Gemini from Google) to find vulnerabilities. This project can be used standalone on your laptop. It is available as part of the Datadog Code Security offering. Project Status This project is under development and is in preview stage.
| Stars | 44 |
| Forks | 6 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.653954521297/100 |
| Open Issues | 19 |
| Last Updated | 2026-07-06 |
| Created | 2026-02-18 |
| Platforms | go |
| Est. Tokens | ~16k |
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datadog-saist is AI-native SAST. It is categorized as a Agent Tool with 44 GitHub stars.
datadog-saist is primarily written in Go. It covers topics such as ai, ai-tools, sast.
You can find installation instructions and usage details in the datadog-saist GitHub repository at github.com/DataDog/datadog-saist. The project has 44 stars and 6 forks, indicating an active community.
datadog-saist is released under the Apache-2.0 license, making it free to use and modify according to the license terms.