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EVENT / TOPICHistorical

Orca Security Launches Discovery AI on Amazon Bedrock to Slash Query Costs

1 reports1 sources10/13/2026 updated

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AI overview

Orca Security has partnered with AWS to build Discovery AI, a natural‑language query agent running on Amazon Bedrock. The system translates user queries into Sonar queries, cutting query cost by 90%, input token usage by 93%, and latency by 75%. Since March 2026, Discovery AI has processed thousands of queries daily in production, demonstrating a significant efficiency boost for security operations.

Written with AI from the reporting · updated 10/14/2026

Latest developmentOct 14, 00:03
Orca Security builds Discovery AI on Amazon Bedrock for natural language security queries
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  1. 1Unclassified fact stationOct 14, 00:00recorded Oct 14, 22:23single source

    Orca Security builds Discovery AI on Amazon Bedrock

    Read original source ↗ AWS Machine Learning BlogReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject：
    Orca Security
    Action：
    built Discovery AI on Amazon Bedrock
    Object：
    natural language query agent for Sonar query system
    Occurred (fact side)：
    Oct 14, 00:00
    AWS Machine Learning Blog ↗Report pageOriginal / first version
    Published (valid side)：
    Oct 14, 00:03
    First seen (known side)：
    Oct 14, 22:23
    Fact stationSingle source · one-sided claim

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Oct 14
  1. AWS Machine Learning BlogFirst-party sourceRelated fact: single source
    Orca Security builds Discovery AI on Amazon Bedrock for natural language security queries

    Report first recorded Oct 14, 22:23

    Orca Security partnered with AWS to develop Discovery AI, a natural language query agent on Amazon Bedrock, which converts plain text questions into valid Sonar queries across over 900 cloud models. This solution reduced query costs by 90 percent, input tokens by 93 percent, and latency by 75 percent compared to the initial baseline, enabling security analysts to query complex cloud infrastructure without deep familiarity with domain-specific query languages.

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