An identity-aware authorization layer for AI agents that enforces OAuth scopes, contextual policies, and human approval workflows before executing sensitive actions. It provides controlled execution and audit trails for MCP tools.
A secure tool-execution plane for agentic AI that enforces JWT authentication, rate limiting, prompt-injection inspection, and audit logging, while ingesting downstream OpenAPI endpoints as MCP tools.
A security-first MCP gateway that enables AI assistants to safely inspect and interact with GitHub repositories through a controlled, auditable tool layer with policy enforcement and human approval for mutations.
Enables policy-governed MCP interactions with deterministic authorization, tenant isolation, minimized PII exposure, and human approval gates for sensitive mutations, while producing structured audit events.
MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.
Governed execution cells for AI agents via MCP; provides shell, code, file, and browser tools inside isolated, policy-enforced Citadels with deny-by-default security, human-in-the-loop approvals, and tamper-evident audit trails.
