Tag: Workload Identity

You can stand up an MCP server in minutes, but controlling how it authenticates and what it can access is where the real work begins.
Gartner’s 2025 PAM Magic Quadrant names machines a core market concern. That shift changes the map for NHI security and workload IAM.
Managing digital identities for both human and nonhuman users is a central challenge for modern organizations spanning SaaS and clouds.
The concept of nonhuman identity is gaining traction fast, sparking new debate over how it differs from managing service accounts.
Every workload that calls an API has to prove it belongs. How that proof gets exchanged shapes the blast radius of any credential leak.
A developer needs to connect a service to an API. The documentation says to generate an API key, store it in an environment variable and pass it in a header. Five minutes later, the integration works.
AI agents are no longer just chatbots. They’re executing multistep workflows across tools and data sources, and the Model Context Protocol (MCP) standardizes these interactions.
Zero trust has reshaped how organizations secure user access. Multifactor authentication, single sign-on and continuous posture checks are now standard for human identities. But the same rigor rarely extends to the nonhuman side of the house.
Static credentials, like hardcoded API keys and embedded passwords, have long been a fixture of how workloads authenticate. But in distributed, cloud-native environments where services constantly spin up and down, these long-lived secrets have become a growing source of risk, operational friction and compliance failure.
When your team stores API keys in a vault and rotates them on a schedule, it feels like the access problem is handled.