iFixAI is an open-source diagnostic platform that evaluates AI agents for misalignment risks across 32 tests spanning fabrication, manipulation, deception, unpredictability, and opacity. Released April 27, 2026, with 149 GitHub stars, the provider-agnostic tool generates letter grades in under 5 minutes and maps results to major AI governance frameworks.
Five Risk Categories Cover Common Misalignment Patterns
The platform tests AI agents across five risk categories: fabrication (accuracy issues, unsourced claims, overconfidence), manipulation (hallucination, privilege escalation, controllability problems), deception (hidden strategies, evaluation-awareness, sandbagging), unpredictability (stability and consistency failures), and opacity (transparency and auditability gaps). Each category contains multiple specific tests that identify where behavior differs from common alignment expectations.
Provider-Agnostic Testing Supports Major AI Platforms
Users define system parameters through domain-specific fixture files in YAML or JSON format. The platform runs 32 inspections against any AI agent, supporting OpenAI, Anthropic, Bedrock, Azure, Gemini, and more. Two modes are available: Standard (single provider, CI tracking) and Full (multi-judge comparison). The system generates content-addressed manifests that enable bit-identical replay for audit trails.
Results are delivered as letter grades (A-F) within 5 minutes, providing rapid feedback for development and compliance teams. The content-addressed manifest system ensures reproducible, auditable results that can be verified independently.
Regulatory Mapping Addresses AI Governance Requirements
A key feature is regulatory mapping to major AI governance frameworks:
This mapping enables organizations to demonstrate compliance with emerging AI regulations and standards. The Apache 2.0 license permits commercial use and modification, making it accessible for enterprise deployment.
Open-Source Approach Enables Pipeline Integration
The tool fills a gap in AI governance by providing standardized, automated misalignment testing that organizations can integrate into development pipelines. Technical tags include Python, CLI, agent-evaluation, ai-alignment, ai-governance, ai-safety, diagnostic-tool, hallucination-detection, llm-evaluation, llm-security, misalignment, prompt-injection, red-teaming, and responsible-ai.
The regulatory mapping is particularly valuable as AI governance frameworks mature globally, providing organizations with vendor-neutral evaluation capabilities that support multiple compliance requirements simultaneously.
Key Takeaways
- iFixAI evaluates AI agents across 32 tests in five risk categories: fabrication, manipulation, deception, unpredictability, and opacity, generating letter grades in under 5 minutes
- The platform is provider-agnostic, supporting OpenAI, Anthropic, Bedrock, Azure, Gemini, and more through YAML or JSON fixture files
- Regulatory mapping covers NIST AI RMF, OWASP LLM Top 10, EU AI Act, and ISO 42001, addressing multiple compliance requirements
- Content-addressed manifests enable bit-identical replay for reproducible, auditable results in governance and compliance workflows
- Released April 27, 2026 under Apache 2.0 license with 149 GitHub stars, enabling commercial use and development pipeline integration