Tag: Workload Identity

Workload identity proves who a workload is. Workload access management controls what it can do. Learn why separating them is critical for zero trust.
Two in five SaaS platforms fail to distinguish human from nonhuman identities. Learn why the distinction matters and how to manage both securely.
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.
Instead of duplicating accounts or sharing credentials, one identity system can validate identities issued by another and grant access based on that trust.
For every human identity your IAM program governs, there are roughly 82 machine identities operating outside it. Most of them authenticate with static credentials that were provisioned once and never reviewed.
Anthropic’s disclosure of an AI-driven espionage campaign it halted is best understood as a faster, more persistent version of patterns the industry has seen before. What distinguishes this incident is the continuity of activity an autonomous system can sustain once it is given the ability to interpret its surroundings and act on that understanding.
The Trivy incident exposed a credential architecture failure, not just a supply chain one. Here’s the case for workload identity and access.
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.
Secret remediation is the process of responding to an exposed credential by revoking it, rotating it and removing every trace of it from your environment.