User interfaces, APIs, endpoint protection, EDR, and mobile security for AI systems.
Stand up endpoint AI assurance, inventory the AI reaching users on managed and unmanaged devices, and baseline the metrics that prove sideloaded and browser AI is shrinking.
Explore →Publish the priority compliance map and the minimum policy stack governing AI/HAI capabilities reaching users on their devices, so every obligation reaches a named policy and a named owner.
Explore →Give the whole workforce, plus the IT staff who manage their devices the role-based AI security literacy and the practical guidance they need to make safe decisions without asking, in the Endpoints domain.
Explore →Publish an archetype-level threat library for the Endpoints domain, tagged to the HAI TTPs and MITRE ATLAS, so threat modelling starts from a reusable baseline rather than a blank page.
Explore →Publish a base security requirements pack per endpoints archetype, every requirement carrying a testable acceptance criterion, so teams inherit requirements rather than negotiating them.
Explore →Publish reference architecture patterns and an antipattern catalogue for each endpoints archetype, so the secure design is the default path rather than an achievement.
Explore →Establish a two-lane design review for endpoints AI changes with a published checklist and service level, so review is predictable enough that teams route through it.
Explore →Review what was actually built against what was designed and required for endpoints AI assets, at go-live, with findings tracked to closure.
Explore →Baseline a foundational security test battery per endpoints archetype that asserts the controls actually hold, and run it before every release.
Explore →Run one backlog for endpoints AI issues with an AI-aware severity taxonomy and published service levels, so AI findings age and escalate like everything else.
Explore →Publish and apply a hardening baseline for each endpoints AI archetype, so the operating environment enforces the controls rather than documenting them.
Explore →Establish a logging baseline per endpoints archetype and a detection set covering the top threats, with retention set by the longest applicable obligation.
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