Governing AI in Real Time With AI: Solving the Latency and Accuracy Dilemma
Rubrik, Wednesday, September 2nd, 2026
Rubrik argues LLM-as-a-judge governance is too slow and costly for high-throughput agent workflows and proposes an alternative.
Autonomous AI agents are moving quickly into enterprise workflows, but traditional governance methods force a compromise between latency and accuracy.
Rubrik argues that heavyweight LLM-as-a-judge approaches cannot keep up with high-throughput agentic workloads without inflating cost and stalling performance.
The post examines why real-time governance of agent behavior needs a different design than batch evaluation. It then describes Rubrik's approach to governing AI with AI while keeping both latency and accuracy acceptable.