Tag: Authentication

Compare 10 identity security vendors for AI agents, including where each fits and what buyers should examine before choosing.
AI agents are workloads, but traditional workload identity alone can miss the user, task, and runtime context needed to govern dynamic agent access.
AI agents need more than working credentials. They need verifiable identity, task-scoped access, and clear attribution.
Your Azure Databricks pipelines need access to cloud and SaaS services, but they should not have to carry permanent credentials to get it.
Eliminating static API keys is real progress – but securing one credential surface is not the same as governing workload access at scale.
An early IETF draft hints at how identity infrastructure may evolve once autonomous software starts acting inside enterprise environments.
See how Aembit injects database credentials at connection time without requiring application code changes or stored Oracle passwords.
The global research and advisory firm is pushing the industry toward a more practical model for securing AI agents and non-human access.
The response to the Canvas breach revealed how much modern institutions still depend on long-lived credentials, shared trust layers, and persistent access between systems.
Workforce and customer agents may rely on similar identity infrastructure, but the trust models, access patterns, and security risks behind them differ significantly.