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Orca Security built Discovery AI, a natural-language security query agent on Amazon Bedrock, achieving 90% lower query cost, 93% fewer input tokens, and 75% lower latency versus its initial baseline.

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Orca Security Builds Natural-Language Security Queries on Amazon Bedrock, Cutting Query Cost 90%

What happened?

FAQ

What is Orca Security's Discovery AI?

It is a natural-language security query agent built on Amazon Bedrock that converts plain-English questions into Sonar queries used in the Orca Security platform.

What results did Orca Security report?

According to the post, it achieved 90% lower query cost, 93% fewer input tokens, and 75% lower latency compared with the initial baseline.

Can MENA security teams benefit from this approach?

Yes, the approach applies to organizations facing pressure in analyzing security alerts, but teams should assess integration with local tools and data protection policies before adoption.

Why does reducing input tokens matter?

Fewer input tokens directly lower the cost of LLM calls and speed up responses, which is critical when running frequent security queries at scale.

Source: AWS Machine Learning

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