Build, Ship secure code faster.
Master the fundamentals of security engineering.
In 2015, we helped shape the future of OpenSAMM. A decade later, those hard-won lessons about security maturity evolved into something new—a framework built specifically for AI systems that work alongside humans.
Read the full story →Basestructure.io was founded to help our clients assess and build the fundamentals of product security. We build security tools and secure software, with a focus on securing Human-Assisted Intelligence systems -- AI systems designed to augment human capabilities.
We believe that strong AI security starts with mastering the basics of security engineering. Our tools and frameworks give organizations a clear, evidence-based path from foundational practices to industry-leading maturity.
Measure where you stand with objective, evidence-based security maturity assessments.
Ship secure software with practical tools and frameworks integrated into your workflow.
Address the unique threats of AI systems that work alongside humans -- from prompt injection to excessive agency.
If you're building, deploying, or securing AI systems, we built these tools for you.
CISOs and VPs who need to prove AI security ROI to boards—not just tool purchases and compliance checkboxes.
Teams building AI agents, LLM integrations, or agentic systems who need practical security guidance that actually works.
Fintech, healthcare, and enterprises facing EU AI Act compliance who need frameworks auditors trust.
Engineers shipping AI features who want lightweight, effective security practices—not heavyweight frameworks that slow you down.
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.