Open Arsenal

Where AI Safety Meets Regulatory Assurance

SecurePath is an open-source, enterprise-grade framework built to help organizations evaluate, monitor, and govern AI systems with a strong focus on safety, transparency, and regulatory readiness. Designed for modern deployments where AI models are increasingly used in sensitive or high-impact environments, SecurePath provides a structured platform for red-teaming, compliance benchmarking, and continuous oversight. It enables teams to test models in controlled environments, measure risk, and maintain clear records for internal governance or external audits.

At its core, SecurePath combines advanced evaluation tools with operational safeguards. The platform includes secure model intake and metadata tracking, sandboxed red-team testing, policy-aligned compliance benchmarks, and quantitative risk scoring. Organizations can run adversarial scenarios to identify vulnerabilities, test models against regulatory templates such as GDPR, ISO, or HIPAA-aligned controls, and generate executive-ready reports with detailed findings. Historical dashboards help teams track improvements, regressions, and long-term compliance trends over time.

SecurePath is also designed for the realities of modern AI ecosystems. It supports multi-language and multi-modal models across text, vision, audio, and control systems, allowing organizations to assess increasingly complex AI deployments from a single framework. Cross-model interaction testing helps evaluate risks when multiple systems work together, while training data sensitivity analysis can identify personally identifiable information, proprietary data, or other sensitive material that may create privacy or governance concerns.

For enterprise operations, SecurePath includes automated scheduling, recurring evaluations, alerting, role-based access controls, plugin extensibility, and multi-tenant deployment options for large organizations or separate departments. Governance dashboards centralize risk visibility, while explainability tools and mitigation recommendations help decision-makers understand findings and respond effectively. By combining technical testing with compliance workflows, SecurePath gives organizations a practical path toward responsible, auditable, and trustworthy AI deployment.