Orca Security builds a natural-language query agent on Amazon Bedrock
What happened
On 14 October 2026, the AWS Machine Learning Blog reported that Orca Security worked with AWS to build Discovery AI, a natural-language query agent on Amazon Bedrock that turns natural-language questions into Sonar queries. According to the report, the system cut query costs by 90%, input tokens by 93% and latency by 75% versus the initial baseline, and now handles thousands of queries a day with a 15-second response time. It uses a nine-stage pipeline combining RAG with schema-aware query construction, assigning different foundation models to each stage. This report is currently the only source, and no figures or claims contradicting earlier reports have appeared.
Written by AI from the reports · updated 3 d ago
Timeline
Follow the reports to see the event from each side.
- AWS Machine Learning BlogNatural language security queries at Orca Security using Amazon Bedrock
Orca Security built Discovery AI, a natural language query agent on Amazon Bedrock that converts plain-English questions into Sonar queries. The post shares the multi-stage architecture and the results: 90% lower query cost, 93% fewer input tokens, and 75% lower latency than the initial baseline.
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