CompFly offers an Enterprise Trust Control Plane that secures and governs autonomous AI agents throughout their lifecycle. It integrates shift‑left security checks into CI/CD pipelines, provides real‑time context‑aware runtime guardrails, and automatically discovers and inventories agentic assets across 50+ platforms, delivering verifiable, auditable trust for large‑scale deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises adopting autonomous AI agents face a trade‑off between innovation and safety. Without proper governance, agents can exhibit prompt injections, data leaks, or unpredictable behavior, while overly restrictive controls limit their business value. This creates a gap where organizations cannot reliably deploy agentic systems at scale.
Solution
CompFly provides an Enterprise Trust Control Plane that embeds security and governance throughout the lifecycle of autonomous agents. By integrating shift‑left validation into CI/CD pipelines, the platform simulates agents to detect prompt injections, PII exposure, and behavioral drift before code reaches production. At runtime, a context‑aware engine interprets intent, privilege, and memory to enforce real‑time guardrails beyond simple keyword matching. Continuous discovery automatically inventories agents across model providers, extensions, repositories, and cloud services, eliminating hidden “shadow” agents. The unified control plane synchronizes policy enforcement across more than 50 integrated platforms, delivering a verifiable, auditable trust layer for autonomous AI deployments.
Target Audience
Primary customers are large enterprises and technology teams that develop, deploy, or manage autonomous AI agents, including DevOps, security, and compliance groups seeking scalable, trustworthy AI operations.
Features
- Shift‑left security checks baked into CI/CD pipelines to catch prompt injections, data leaks, and drift during development
- Real‑time runtime guardrails that evaluate intent, context, and privilege rather than relying on static regex filters
- Automated discovery and inventory of all agentic assets across model providers, browser extensions, repositories, and cloud environments
- Unified control plane with live synchronization across 50+ platforms, providing centralized policy management and audit trails
- Simulation engine for pre‑deployment testing of agents against adversarial scenarios and reliability benchmarks
- Policy framework designed for regulator‑ready compliance and enterprise governance of AI agents