LLMでLLMのコンプライアンスリスクを修正する手法に1,000万ドルが集まる
ZeroDriftは、LLMを使ってフラグの立ったAIメッセージをGDPRやSOC 2などの基準に適合するよう書き換えるコンプライアンスレイヤー向けに、1,000万ドルのシード資金を調達した。
ai governance startup zerodrift secured $10m in seed funding from investors including a16z speedrun to launch a compliance layer that corrects model outputs before they reach users. the system uses deterministic code to identify violations of standards like soc 2 or gdpr and then invokes a separate llm to rewrite the message, ensuring compliance without the high latency of running a full guardrail model. ceo kumesh aroomoogan claims the funding round was oversubscribed by 3x and closed in three weeks, signaling strong enterprise demand for safety tooling. the technology initially targets consumer-facing chatbots but plans to expand into internal automated agent-to-agent communications.