Projects with this topic
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Kova is a modular, AGPL-licensed AI governance framework designed to enforce structured, policy-driven control over artificial intelligence systems across consumer, household, and enterprise environments. It separates intelligence, execution, and policy enforcement into distinct layers to ensure all AI actions are transparent, auditable, and governed by configurable safety and access rules. https://roxanneardary.com/kova/
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Human Decision Specification (HDS) is an open, modular standard for building AI systems that keep humans in control of decision-making. It defines a structured workflow where AI systems ask clarifying questions, discover and confirm human intent, evaluate legal and compliance constraints, and provide transparent recommendations. HDS ensures that every significant action is approved by a human, fully auditable, and designed to prevent autonomous decision-making without oversight. https://roxanneardary.com/human-decision-specification/
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SecurePath is an open-source, enterprise-grade framework for AI evaluation, red-teaming, and regulatory compliance. It provides sandboxed testing, policy-aligned metrics, multi-modal evaluation, training data sensitivity analysis, and historical compliance tracking, all while maintaining audit-ready logs and dashboards. Designed for organizations, enterprises, and research teams, SecurePath ensures AI safety, transparency, and regulatory assurance. https://roxanneardary.com/securepath/
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Vantor is a deterministic capital routing system that converts explicit user-defined financial intent into structured, rule-validated execution instructions. It uses AI solely as a natural language parser and enforces a strict no-withdrawal, no-inference architecture where all allocations, schedules, and transactions must be explicitly defined, validated, and executed through approved deposit-only financial rails. https://roxanneardary.com/vantor/
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A security sandbox for AI code assistants
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