Tag: Workload Identity

Victor Ronin builds AI agents in a day using CrewAI and a local LLM, sharing what worked, what broke and why agents still need humans.
NHIM, MIM, and workload IAM each address a different layer of non-human identity security. Learn how they compare and complement each other.
Aembit IAM for Agentic AI combines blended identity with an MCP Identity Gateway for enterprise agents.
Most CISOs fear AI agent risks, but legacy IAM can’t govern autonomous systems. A new identity model built on attestation is emerging.
Legacy IAM can’t govern autonomous AI agents that spin up, execute and terminate in seconds. New identity patterns are now emerging.
Secrets managers store credentials but can’t close the access gaps that multicloud workloads and AI agents create. Five alternatives can.
Non-human identities outnumber human users 144 to 1, yet most security programs overlook them. The OWASP NHI Top 10 maps the risks.
Two layers protect cloud-native apps: Workload IAM secures machine identity and API security inspects request traffic. Most teams need both.
Test your MCP systems for confused deputy attacks, token passthrough risks and the authorization patterns the specification requires.
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.