With more than 180 AI agent security rules and 74 specialized scanners, MEDUSA is an AI-first Static Application Security Testing (SAST) tool. This open-source CLI scanner addresses contemporary development issues such as multilingual coverage and false positives. Python, JavaScript, Go, Rust, Java, Dockerfiles, Terraform, and Kubernetes manifests are just a few of the 42+ languages and file types that MEDUSA combines security scanning for.

Installing it via pip allows developers to run scans with a single command, resulting in 10–40x speedups over sequential tools through parallel processing. For CI/CD integration, it produces reports in JSON, HTML, Markdown, or SARIF formats.

Learn more about exploitation Training in security awareness Software for vulnerability scanning Tools for remote access Modules for hardware security Software that prevents cyberattacks Security software for macOS Software for detecting malware Reports on threat intelligence Version 2025 of ethical hacking training.9.0 added an intelligent false positive filter that uses context-aware analysis, including the detection of security wrappers and the exclusion of test files, to reduce noise by 40–60%. By reverting to sequential mode, sandbox compatibility guarantees that it operates in constrained environments such as OpenAI Codex. By skipping unaltered files, smart caching significantly increases rescan speeds.

Capabilities for CVE Detection Pantheon Security introduced MEDUSA, which is excellent at finding high-impact vulnerabilities and looking for supply chain threats in package locks.

Description of the CVE ID Components Affected by CVSS Score CVE-2025-55182 Flight protocol deserialization 10.0 React 19.0.0-19.2.0, Next.js 15.0.0-15.0.4 CVE-2025-6514 mcp-remote React2Shell pre-auth RCE OAuth SSRF to OS command injection RCE 9.6 mcp-remote authorization endpoint React2Shell exposure is reduced by updating Next.js to 15.0.5+ and React to 19.0.1+. Prompt injection, tool poisoning, and RAG poisoning are among the OWASP LLM Top 10 2025 risks covered by the tool's 180+ rules designed for agentic AI. Learn more Tools for remote access Reports on security vulnerabilities Courses for cybersecurity training Exploits Services for cloud security Tools for ethical hacking Planning guides for incident response Malware Safe web hosting Software for vulnerability scanning Specialized scanners find problems in files such as rag.json, mcp.json, CLAUDE.md, and cursorrules.

commands such as "medusa scan." —ai-only" isolates AI configurations for speedy audits.

For auto-tool setup using Winget, Chocolatey, or npm on Windows, users first create a virtual environment, then pip install medusa-security, medusa init, and medusa install. With slash commands like /medusa-scan, it works with Claude Code, Cursor, VS Code, Gemini CLI, and GitHub Copilot. Exclusions and fail-on thresholds can be configured using.medusa.yml.

With six workers, MEDUSA scans 145 files in 47 seconds, maintaining steady speeds for projects of all sizes. Dogfooding produces neither high nor critical issues on its own codebase. Failure builds on high-severity findings, and CI/CD workflows integrate smoothly. X, LinkedIn, and X for daily updates on cybersecurity.

To have your stories featured, get in touch with us.