AINewsnow

Natural 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.

Read the full story at AWS Machine Learning Blog ↗

Timeline · 1 report

  1. 2026-10-13 16:03 · AWS Machine Learning Blog
    Natural language security queries at Orca Security using Amazon Bedrock

More stories

  1. AWS details deploying decision models with llama.cpp on SageMaker AI — AWS Machine Learning Blog
  2. Manage private pricing offers for Amazon Bedrock with managed entitlements — AWS Machine Learning Blog
  3. How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore — AWS Machine Learning Blog
  4. Build long-horizon agents with Grok 4.7 on Amazon Bedrock — AWS Machine Learning Blog
  5. AWS enables global cross-Region inference for OpenAI GPT models on Bedrock — AWS Machine Learning Blog
  6. Amazon introduces 'Priming' to modify AI architectures without full retraining — Amazon Science
  7. AWS details multi-node LLM inference on EKS using Ray containers — AWS Machine Learning Blog
  8. Can You Gaslight an AI About AWS? I Built a Game to Find Out — DEV Community — Machine Learning

Get the daily brief of stories like this at 6:30 every morning →