An Open-Source Static AI Capability and Risk Analyzer – First Week Report
SafeAI — Static AI Capability & Risk Analyzer SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps. It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. 🌐 safeai-analyzer.ikaruscareer.com — project landing page Why SafeAI? Traditional application security tools (SAST, SCA, IaC scanning) are not designed for AI agent systems.
- ▪SafeAI — Static AI Capability & Risk Analyzer SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps.
- ▪It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. 🌐 safeai-analyzer.ikaruscareer.com — project landing page Why SafeAI?
- ▪Traditional application security tools (SAST, SCA, IaC scanning) are not designed for AI agent systems.
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Opening excerpt (first ~120 words) tap to expand
SafeAI — Static AI Capability & Risk Analyzer SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps. It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. 🌐 safeai-analyzer.ikaruscareer.com — project landing page Why SafeAI? Traditional application security tools (SAST, SCA, IaC scanning) are not designed for AI agent systems. AI applications introduce new risk surfaces: Prompt injection — untrusted input flows into model prompts Agent tool misuse — agents with filesystem, shell, or database access Capability sprawl — frameworks expose capabilities without visibility MCP exposure — Model Context Protocol endpoints and tools Governance gaps — missing authentication,…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.