Asqav - The evidence layer for AI agents

Asqav provides a dedicated compliance and accountability framework for developers who need to track and control the autonomous actions taken by AI agents. The platform acts as a gatekeeper that intercepts and validates agentic workflows in real-time. By integrating into common frameworks like LangChain or CrewAI, it captures every operation and subjects it to a series of checks. These scans look for sensitive data leaks, toxic language, or scope violations, allowing the system to automatically freeze an agent's activity if it strays from its defined boundaries. This transforms the unpredictable nature of AI agents into a controlled, observable environment. A notable technical detail is the use of RFC 3161 timestamps and Bitcoin anchoring, which provide a high level of proof that the logs haven't been altered after the fact. For businesses navigating the EU AI Act or other regional standards, the tool generates audit packs that map technical logs directly to regulatory requirements. This makes it more of a security-focused governance tool than a simple debugging dashboard, specifically designed for those who must prove their AI's behavior to auditors or legal teams.