Enterprise AI PC Rollouts and Hybrid Inference Governance (2026)
A practical operating model for organizations adopting AI PCs while balancing local inference, cloud controls, and supportability.
Security and identity systems. Passkeys, privacy, and browser platform changes.
180 articles
A practical operating model for organizations adopting AI PCs while balancing local inference, cloud controls, and supportability.
A practical incident model for detecting, containing, and learning from source-control-origin data exposure events.
A production migration strategy for teams impacted by GitHub App installation tokens expanding beyond fixed-length assumptions.
A practical approach to replacing static credentials in CI with OIDC claims, custom properties, and policy-driven trust.
How to balance AI agent access, abuse prevention, and user privacy with modern web accountability patterns.
How to design controls for agentic browser features, memory-enabled assistants, and auto-browse workflows before large-scale rollout.
A practical architecture for operating persistent agent memory with policy controls, privacy boundaries, and measurable reliability.
A security-first blueprint for protecting AI workloads with identity-aware routing, prompt inspection, and controlled tool execution.
How to redesign CI trust boundaries using OIDC custom property claims, ephemeral runtime controls, and private network failover patterns.
Lessons from recent API-key misuse cases and a concrete design for spend-safe AI platform operations.
How to govern Gemini-in-browser and browser-native assistants with clear data boundaries, controls, and rollout policies.
How to use repository custom properties in OIDC claims to replace brittle per-repo IAM sprawl with policy-driven CI trust.
A governance blueprint for teams deploying dashboard-native AI assistants to production operations workflows.
A practical governance model for handling AI crawlers, autonomous agents, and legitimate automation without breaking user experience.
A practical architecture for replacing brittle bot labels with intent, accountability, and privacy-preserving controls.
A production playbook for replacing brittle bot labels with intent scoring, accountability controls, and privacy-preserving trust signals.
How platform teams can use the latest GitHub Actions OIDC capabilities to implement attribute-based access control and reduce CI credential risk.
How to treat CI as a first-class security domain by combining GitHub Actions data stream telemetry, network controls, and identity-bound workload policies.
How to operationalize new CodeQL sanitizer and validator modeling across large repositories without breaking delivery velocity.
A production rollout playbook for adopting organization-level OIDC in Dependabot and code scanning without breaking developer throughput.