How AI Security Vendors Can Substantiate Product Claims
AI security claims need a defined scope, a relevant threat model, and evidence that matches the words on the page. This guide shows vendors how to build that proof before publishing.
Cybersecurity content blog
Earlier articles on security engineering, industry standards, product claims, and technical content.
Article archive
Each article addresses a defined search question and links claims to named sources.
AI security claims need a defined scope, a relevant threat model, and evidence that matches the words on the page. This guide shows vendors how to build that proof before publishing.
IAM, ITDR, PAM, and non-human identity security address different parts of identity risk. This guide helps security buyers compare their scope, controls, and evidence.
A technical comparison of machine and non-human identities, including their scope, credentials, lifecycle, access, and security controls.
AI agents need more than API keys. This article maps the identity, delegation, policy, audit, and trust components used to control agents, models, tools, and data.
A practical guide to finding non-human identities, assigning owners, reducing credential risk, and controlling access across their lifecycle.
A technical guide to subject tokens, trust policies, cloud STS flows, Kubernetes service accounts, SPIFFE trust domains, and credential expiry.