SafeAI is a powerful static analysis tool designed specifically for evaluating AI applications. It scans source code to identify security risks, governance gaps, and capability exposures, all while operating entirely offline without executing code or making external calls. This tool seamlessly integrates into Continuous Integration/Continuous Deployment (CI/CD) workflows, enhancing the security lifecycle of AI applications by identifying potential vulnerabilities before they can be exploited.

Key Features of SafeAI

• Framework Detection: Automatically detects and analyzes 8 AI agent frameworks to establish a robust security baseline.
• Capability Discovery: Identifies a wide array of capabilities, including filesystem access, database interactions, and more, at the agent source code level.
• AI Risk Analysis: Categorizes identified risks into 7 categories, providing a weighted trust score for clear prioritization.
• Prompt Risk Analysis: Detects model prompt injection patterns and other vulnerabilities that could compromise application integrity.
• Tool Analysis: Assesses risk profiles of agent-bound tools, ensuring awareness of external dependencies.
• Comprehensive Reporting: Outputs findings in multiple formats including terminal summary, JSON, SARIF 2.1.0 for compatibility with various tools, and HTML reports.

How SafeAI Works

SafeAI employs a multi-step static analysis process:

1. Source Code Analysis: It starts with framework detection and dependency scanning.
2. Static Analysis: The tool utilizes Abstract Syntax Tree (AST) parsing to analyze capability patterns.
3. Capability Mapping: It maps identified framework elements to normalized risk categories.
4. Risk Assessment: A rule engine applies severity ratings and weights to various detected risks.
5. Trust Scoring: Findings are consolidated into a trust score ranging from 0 to 100, offering a clear indication of risk level.
6. Reporting: Results are compiled into comprehensive reports for easy interpretation and action.

Supported Frameworks

SafeAI supports various AI agent frameworks such as LangGraph, LangChain, and Microsoft Agent Framework, among others—all providing insights into deployment risks associated with capabilities and potential governance issues.

CI/CD Integration

For teams utilizing GitHub Actions or other CI/CD systems, SafeAI offers built-in workflows that facilitate easy incorporation into existing pipelines, ensuring that security checks are part of the development process.

Visit the project landing page for more information, and to explore the benefits SafeAI brings to AI application security.