Category: Industry Insights

OAuth is an authorization framework that defines how to grant access. JWT is a token format that defines how to package and transmit claims. They solve different problems, and most production systems use both.
AI agent identity security is the set of practices and controls that treat AI agents as distinct, governable identities with their own authentication, authorization and audit requirements.
Zero-trust architecture is a security framework built on a simple premise: no user, device or workload should be trusted by default, regardless of where it sits on the network.
Agentic AI guardrails are the technical controls, policy frameworks, and oversight mechanisms that define what an AI agent can do, what it can access and when it needs to stop and ask a human.
Traditional IAM was built for predictable workloads. Learn why AI agents demand a new approach to identity, access control, and credential management.
Discover verifiable agentic AI deployments in software, security, IT Ops, and logistics. Learn the essential security, identity, and governance patterns for safe production use.
As agents scale and operate continuously, MCP servers are becoming long-lived access intermediaries, concentrating privilege in ways security teams have already struggled to contain.
Single sign-on (SSO) simplifies access for human users across an organization’s approved applications. Federated identity (FI) management connects users across organizational boundaries.
Service accounts are indispensable, but their security weaknesses make them the most attractive target in enterprise environments.
Agentic AI introduces new cybersecurity risks, primarily concerning autonomous identity, tool chain exposure, and cascading compromises, requiring security teams to urgently adopt least-privilege identity frameworks and real-time monitoring designed specifically for self-directed, persistent workloads.