Build, Ship secure code faster.
Master the fundamentals of security engineering.
Traditional security frameworks weren't built for AI agents. We address the unique threats that emerge when AI systems operate with autonomy.
AI systems granted permissions beyond what's necessary, creating attack surface and blast radius.
Manipulation of AI objectives through prompt injection, causing unintended actions.
AI using available tools in ways that violate intended security boundaries.
Autonomous AI behavior that deviates from expected patterns without detection.
A complete ecosystem for assessing, building, and maintaining secure AI systems.
Human-Assisted Intelligence Assurance Maturity Model
The first open-source framework for assessing AI security programs. Measure real effectiveness, not just checkbox compliance.
Interactive AI Security Mentor + CLI
Dual-tool ecosystem: Claude Skill for real-time security guidance during development, plus Python CLI for formal assessments.
GitOps-Native Security Maturity Tracking
Track HAI security maturity through your CI/CD pipeline. YAML assessments, git history as database, markdown scorecards.
All our core tools and frameworks are open source. Security through transparency.
Complete HAI security toolkit with Claude Skill integration, Python CLI, and HAIAMM framework implementation.
GitOps-native security maturity tracking. YAML assessments, bash scripts, GitHub Actions.
Custom Semgrep rules for detecting HAI-specific vulnerabilities: prompt injection, excessive agency, tool misuse.
Complete mapping between OWASP LLM Top 10 2025, Agentic AI Top 10 2026, and HAIAMM practices.
The Human Assisted Intelligence Assurance Maturity Model A comprehensive maturity model designed specifically for AI capabilities.
We measure what matters: Does your security actually work? Not just "Do you have a policy?" Real effectiveness, proven with data.
Security through transparency. All our frameworks, methodologies, and core tools are open source. Community-driven improvement.
Building for the unique challenges of AI systems. Agent autonomy, prompt injection, tool misuse—threats that generic frameworks miss.
Get started with our open source tools or reach out for enterprise support.