How Axonius built secure multi-tenant AI agents on Bedrock AgentCore
Axonius deployed agents across hundreds of customer environments using Bedrock AgentCore—no custom isolation layer needed.
Why it matters
A production case study showing how enterprise SaaS can move from agent pilots to multi-tenant scale using managed agent infrastructure. Practitioners deploying agents at scale need to see how Bedrock's isolation and observability layers solve the hard problems.
The key facts
11 to knowAxonius (cybersecurity SaaS) deployed multi-tenant agents on Amazon Bedrock AgentCore
Hundreds of customer environments running isolated agents
Built without custom compute isolation, authentication, or observability infrastructure
Case study demonstrates agent deployment maturity in enterprise SaaS
Bedrock AgentCore handles tenant isolation and observability natively
Axonius: cybersecurity SaaS provider
Deployment: fully isolated, multi-tenant AI agents
Scale: hundreds of customer environments
Platform: Amazon Bedrock AgentCore
Infrastructure solved: compute isolation, authentication, observability
Avoided: custom build of isolation/auth/monitoring layer
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Learn how Axonius, a cybersecurity SaaS provider, used Amazon Bedrock AgentCore to deploy fully isolated, multi-tenant AI agents across hundreds of customer environments, without building custom compute isolation, authentication, or observability infrastructure from scratch.