Securing AI agent identity with X.509 PKI on AWS
When AI agents access databases, APIs, and sensitive business operations, establishing cryptographic identity through X.509 public key infrastructure (PKI) becomes a critical requirement.
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Key points
- Multi-agent AI frameworks increasingly use the Model Context Protocol (MCP) to connect agents to external tools and data sources.
- In this post, we show you how to address this gap using Keyfactor EJBCA combined with AWS services.
- EJBCA is a PKI platform that supports high-availability deployment, REST API automation, and Online Certificate Status Protocol (OCSP) validation.
- Second, user-signed delegation assertions authorize agents without sharing credentials.
Sources (1)
- [1]Securing AI agent identity with X.509 PKI on AWSAWS Machine Learning Blog · Oct 20, 04:03 PM
When AI agents access databases, APIs, and sensitive business operations, establishing cryptographic identity through X.509 public key infrastructure (PKI) becomes a critical requirement.
Multi-agent AI frameworks increasingly use the Model Context Protocol (MCP) to connect agents to external tools and data sources.
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