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How Trellix uses AWS Bedrock

ConfirmedVendor case study · Checked Oct 24, 2026
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The use case: how Trellix deploys AWS Bedrock

Trellix uses Amazon Bedrock to power Trellix Wise, an AI threat investigation product, with Anthropic's Claude Sonnet as the primary model. It added Amazon Nova Micro for the data collection stage of investigations to cut cost and increase speed, and its professional services team uses Amazon Nova Lite for code generation and understanding in custom solution delivery.

More reported results

Figures published in AWS Bedrock’s case study. They are not independently measured by usedby.

three times faster

Amazon Nova Micro delivered inferences three times faster and at nearly 100-fold lower cost

3-5 inferences

Its speed allows it to process 3-5 inferences in the same time as a single Claude Sonnet inference

In the customer’s words

Amazon Bedrock makes it easy to evaluate new models and approaches as they become available. Using Amazon Nova Micro alongside Anthropic’s Claude Sonnet allows us to deliver the best coverage to our customers, fast, and at the best operating cost.
Martin Holste, Senior Director, Engineering, Trellix — Source

Other AI tools used by Trellix

Other public relationships recorded on usedby.

ClaudeConfirmed
Explore Trellix’s AI stack

AWS Bedrock users in Cybersecurity

Companies in the same sector, with public evidence.

WithSecureConfirmedOktaSignal
See all AWS Bedrock customers

More stories

Go straight to the source

Based on AWS Bedrock’s published case study. We check the public evidence; the results are reported by the vendor.

aws.amazon.com
Source published
Feb 5, 2025
Last checked
Oct 24, 2026
aws.amazon.comCaptured AWS Bedrock case study about TrellixOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 30Checked

    Printed word for word on the page, near the name of Trellix.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Trellix.

  • The publication dateChecked

    Read from the page’s own metadata, never guessed.

  • Trellix uses AWS BedrockChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

The Trellix team determined that by running multiple inferences, you can maximize the coverage of required data and still lower costs by a factor of 30.
From the page. aws.amazon.com