proomt

Search

Search posts, papers, and topics

All posts

Mozilla Automation TeamSvea Windwehr10 min readintermediate

Pragmatic principles for more rights-respecting age assurance architectures

Summary

The article proposes a rights‑respecting approach to age‑assurance, assigning actuation to services, using devices for privacy‑preserving signal creation, offering user choice of providers, and leveraging zero‑knowledge credentials. It argues that policy must enforce open standards and end‑to‑end risk assessment to avoid privacy, security, and competition harms.

  • Assign actuation of age signals to the website/app that knows the content, while devices create and share the signal privately.
  • Give users a choice of multiple privacy‑preserving age providers and let them control when a credential is shared.
  • Use zero‑knowledge or anonymous credential techniques to prove age without exposing personal data.
  • Mandate open, free standards and protect open‑source OSes to prevent power concentration in major app stores.

Policymakers, platform engineers, and privacy advocates need concrete guidance to build age‑verification systems that meet regulations without sacrificing user rights.

6/10

Related reading

  1. Helping families and educators support safer experiences and healthier habits on Windows

    Microsoft announced the Windows Age API, a set of platform calls (GetUserAgeRangeAsync, GetAgeVerificationStatusAsync, CheckAgeStatusAsync) that expose age signals from a Microsoft account while preserving privacy. The APIs let Windows apps deliver consistent, age‑appropriate experiences and reuse verified age status, with parental controls now highlighted during device setup.

    Microsoft Edgewindows.com5 min
  2. Article: Architecting Secure and Scalable Facial Verification Systems

    A real‑world post‑mortem of a high‑volume face verification service that moved from a naïve synchronous API to an async, layered pipeline (edge validation, preprocessing, decoupled detection/verification, decision engine) to achieve 8.5k rpm, p99 < 1.8 s, 30 % cost savings, and strict privacy controls.

    InfoQinfoq.com15 min
  3. Enabling secure, productive work on personal devices

    Databricks outlines a four‑layer BYOD mobile security model—MDM enrollment (account‑driven user enrollment), identity‑based access with contextual signals, continuous zero‑trust posture checks via per‑app VPN, and managed‑app controls—while emphasizing employee privacy and transparent communication to drive adoption.

    Databricksdatabricks.com7 min
  4. Podcast: Securing AI Agents: Identity, Authorization, and the DPACT Framework

    This podcast discusses the critical challenges of identity, authorization, and security for AI agents. It introduces the DPACT framework (Delegation, Policy, Auditability, Context, Time) as a blueprint for building responsible agentic systems with bounded, delegated authority, moving beyond simple token-based access.

    InfoQinfoq.com29 mintalk
  5. Article: Beyond Relevance: A Governance-First Architecture for Enterprise Personalization

    The article proposes a governance‑first architecture for enterprise personalization, where policy‑driven steps (memory, journey graph, AI routing, scoring, trust checks, outcome simulation) shape the recommendation before it is returned. A reference FastAPI implementation demonstrates the pattern with external YAML policies and optional LLM assistance.

    InfoQinfoq.com19 min