Category: Industry Insights

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.
What it takes to implement it, and why real-world environments make it hard to finish.
Workload access management isn’t identity management – it enforces access and eliminates credentials. Learn the five core WAM capabilities
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.
Static access rules fail in dynamic MCP environments. Context-based access control evaluates identity, context and resources in real time.