Secure AI Code at the Source
A complete static analysis solution to detect vulnerabilities in AI code before execution.
Challenge
As AI pipelines evolve rapidly, insecure coding practices and exposed APIs remain a top risk. Detecting these issues late can lead to major breaches or compliance failures.
Solution
Aynigma's AI SAST solution applies deep static analysis to AI-related code — from model-serving scripts to orchestration layers — detecting injection flaws, unsafe dependencies, and logic vulnerabilities early in development.
Key Capabilities
Automated Scanning
Automated scanning of Python, JavaScript, and AI framework code
Pattern Detection
Pattern-based detection of data leakage and injection risks
Secure Coding
Secure coding recommendations aligned with OWASP ML guidelines
DevSecOps Integration
Integration into GitHub, GitLab, and CI/CD pipelines
Business Outcomes
Early Detection
Shift security left with early detection
Cost Reduction
Reduce cost of fixing vulnerabilities post-release
Faster Development
Accelerate secure development cycles
Exploitation Prevention
Strengthen AI systems against data and code exploitation
Build secure AI from day one.
Integrate Aynigma's AI SAST into your DevSecOps pipeline.