Semgrep is a powerful static analysis tool that helps identify security vulnerabilities in your code. By integrating with Relevance AI, you can automate security scanning processes and manage findings more effectively, leveraging AI Agents to streamline your development workflow.
Semgrep provides robust static analysis for security scanning, while Relevance AI amplifies its capabilities by automating responses and orchestrating workflows that adapt to your project's needs.
Continuous Security Orchestration
The AI agent autonomously coordinates security scans, vulnerability assessments, and remediation workflows across multiple codebases in real-time
Pattern Recognition Mastery
Leverages machine learning to identify complex code patterns and potential security threats that traditional scanning might miss
Proactive Defense Automation
Anticipates potential security vulnerabilities by analyzing code changes before they reach production environments
Relevance AI integrates seamlessly with Semgrep to enhance your security workflows through intelligent automation.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Semgrep account
- A Relevance AI account with access to the workspace you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
This integration enables seamless interaction between Semgrep's static analysis capabilities and Relevance AI's workflow automation platform. It allows you to automate security scanning, manage deployments, and track findings across your projects while leveraging Relevance AI's orchestration capabilities.
Key benefits include automated security scanning and analysis, centralized deployment management, real-time findings monitoring, and customizable project tagging and organization.
To get started, ensure you have the required accounts and credentials, including a Semgrep account with API access, a Relevance AI account, and OAuth credentials with `pipedream-semgrep-read-write` permissions. Additionally, your system should meet the requirements of Node.js 12.x or higher, an HTTPS-enabled environment, and network access to `https://semgrep.dev`.
Once prerequisites are met, set up OAuth authentication and configure the base URL for the Semgrep API. Initialize the API client to begin interacting with your Semgrep deployments.
For quick operations, you can retrieve deployments, get projects for a specific deployment, update project tags, and retrieve security findings using straightforward API calls. Each operation is designed to streamline your workflow and enhance project management.
In case of issues, common errors include authentication errors, deployment not found, API rate limiting, and project update failures. Implementing error handling and response validation will help ensure your integration runs smoothly.
For further assistance, refer to the Semgrep API documentation, OAuth configuration guide, and API rate limits. For additional support or questions, please contact Semgrep support or consult the Relevance AI documentation.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the Semgrep + Relevance AI integration without writing code:
- Start with a clear project structure: Organize your projects with meaningful names and consistent tagging for easier management.
- Utilize automated workflows: Leverage Relevance AI's pre-built workflows for security scanning and findings tracking to streamline your processes.
- Connect securely: Ensure you have the correct OAuth credentials and permissions set up for seamless integration.
- Test your configurations: Validate your API calls and configurations with test data before deploying to production to minimize errors.
- Monitor your API usage: Keep an eye on rate limits and implement throttling to avoid disruptions in service.
