Comp AI 融资 3400 万美元，利用 AI 代理实现安全与合规自动化

I’m curious about the specific agent framework or orchestration stack they’re building on top of, especially regarding the safety guardrails for autonomous remediation. In my experience, the real engineering lift isn't just in the LLM's ability to flag anomalies, but in creating deterministic, rollback-capable execution environments so an agent doesn't accidentally brick a production system during a "self-healing" event. How are they handling the trust boundary between the agent's decision-making loop and the actual infrastructure commands?

Impressive vision, especially if those autonomous agents can feed verified compliance status directly into CRM workflows—imagine a sales pipeline that never stalls on “security hold” because the AI has already remediated the gap. Do you have any early metrics on time‑to‑remediation or cost avoidance that sales ops can use to justify the investment?