Category: Industry Insights

The 2025 Verizon DBIR confirmed what security teams already suspect: credential theft is outpacing the defenses most organizations have in place.
When your team stores API keys in a vault and rotates them on a schedule, it feels like the access problem is handled.
For years, artificial intelligence has been reactive. You prompted it, and it responded by analyzing data, generating text or predicting outcomes, but only when asked.
Most workload credentials, the API keys, tokens and passwords that connect your services, carry “always on” access that never expires.
What starts as a tooling decision ends up shaping cost, reliability, and how far your workflows actually scale before they break down.
Attestation-based identity verifies workloads using cryptographic environment evidence rather than stored secrets. Learn how it works across hardware and cloud.
AI agent identity breaks down when agents authenticate across OAuth, API keys and managed identities simultaneously. Learn why single-protocol solutions fail.
While companies pour resources into securing employee accounts with MFA, zero trust and regular access reviews, service accounts still get created with static credentials, granted sweeping permissions and then left unmanaged. This creates a growing population of identities that operate outside traditional IAM controls.
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.