Artificial Intelligence · 18.08.2026, 20:25 UTC
How Axonius built secure multi-tenant AI agents on Bedrock AgentCore
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | AWS Machine Learning ↗ |
| Veröffentlicht | 18.08.2026 UTC |
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Independent Software Vendors (ISVs) are expanding their offerings and adding AI agents. Common considerations for organizations when adding agentic workloads include security, scalability, time to market, and cost tracking. ISVs have another dimension, they provide services to other organizations and need to manage agentic workloads for each customer. As such, ISVs need to manage those common challenges not only broadly but at the tenant level. Axonius is the asset intelligence platform that helps Security and IT teams prioritize risks and coordinate fixes. By reconciling data from over 1,400 systems into one authoritative source of truth, Axonius enables security teams and the teams they support to collaborate effectively, reducing the manual burden of security, audit, and compliance by up to 50%. Axonius runs its software as a service (SaaS) infrastructure on AWS, managing hundreds of isolated customer environments. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model. In this post, we cover strategies available for SaaS providers to deploy AI agents, describe how Amazon Bedrock AgentCore supports those options, look into Axonius’s considerations, and share Axonius’s chosen architecture. We also describe how Axonius integrated agentic workloads with its existing methodology. This post is for platform engineers and architects building secure, multi-tenant AI agent deployments on AWS. Multi-tenancy patterns for AI agents Independent Software Vendors (ISVs) tend to provide services using the SaaS model. When …