Category: Industry Insights

The Model Context Protocol (MCP), developed by Anthropic, standardizes how AI agents interact with external tools and data.
As apps and service accounts proliferate, robust management is key to maintaining automated, scalable, and resilient IT environments.
A new protocol proposes a clearer way to connect agent identity, delegated authority and human approval for sensitive actions.
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.
Visibility tells you what your agents are doing. Enforcement determines what they’re allowed to do. Here’s what the Aembit team saw at Identiverse that confirmed the gap.
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.
The global research and advisory firm is pushing the industry toward a more practical model for securing AI agents and non-human access.
Workload access management isn’t identity management – it enforces access and eliminates credentials. Learn the five core WAM capabilities