by DataDog · Agent Tool · ★ 74
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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. Features AI-Powered Analysis: Uses advanced AI models to detect security vulnerabilities Multiple Language Support: Analyzes code in various programming languages. Java, Python and Go are currently supported. C# support coming soon.
| Stars | 74 |
| Forks | 8 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.653954521297/100 |
| Open Issues | 20 |
| Last Updated | 2026-07-30 |
| 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 74 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 74 stars and 8 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.
The top alternatives to datadog-saist on Agent Skills Hub include fossil-mcp, kindly-web-search-mcp-server, toolsdk-mcp-registry. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.