Launch HN: Traceforce (YC S26) – Company-wide security monitoring for AI apps
Traceforce addresses the growing enterprise challenge of securing AI application usage, offering a comprehensive monitoring solution for tools like ChatGPT and Claude. It promises to give companies critical visibility and control over AI activity on their devices, a common pain point for security teams. This launch resonates with HN's interest in practical solutions for modern tech problems, especially those tackling AI's security implications in the workplace.
The Lowdown
Traceforce, founded by Xia and Varun, introduces an enterprise-grade security monitoring platform for AI applications. It's designed to give companies complete visibility and control over how AI tools like ChatGPT and Claude are being used on all company devices, including laptops, sandboxes, and virtual machines.
- Core Functionality: Traceforce identifies which AI apps are in use and how they connect to data sources via Multi-Cloud Platforms (MCPs), providing real-time activity monitoring.
- Deployment & Monitoring: It's deployed as a lightweight binary and browser extension on each device. Within 30 minutes, it begins uploading live data to a central dashboard, enabling security staff to monitor AI agent activity, implement controls, and receive alerts on risks.
- Inspiration & Market Need: The concept emerged from co-founder Xia's experience monitoring AI use at a startup, followed by insights from over 50 CISOs and CIOs who expressed a critical need for security solutions that keep pace with rapid AI adoption.
- Transparency & Privacy: Traceforce collects metadata and telemetry by default. While security teams can enable content inspection for high-risk actions, this occurs locally on the device, and user prompts are never stored unless explicitly configured by the organization.
- Proven Impact: Currently adopted by 10 organizations across over 1,000 devices, Traceforce typically discovers 15+ AI applications per device. It has successfully helped customers prevent API key leaks, identify exposed secrets, and warn against destructive commands like 'DROP TABLE' using a 'warn and acknowledge' system.
- Target Audience: The product is aimed at small to medium enterprises (200+ employees) and their security, IT, and AI platform teams struggling to manage AI tool usage and mitigate security risks without hindering productivity.
By providing a standardized way to ensure safe AI software operation and early detection of security breaches, Traceforce empowers organizations to embrace AI productivity tools confidently.