GitHub Rulesets + Required Workflows: Governing Agentic CI at Scale
Design pattern for enforcing quality and security in AI-heavy pull request pipelines.
Priya Sharma
Security and identity systems. Passkeys, privacy, and browser platform changes.
180 articles
From CAPTCHA to Agent Trust: Verification Architecture for Machine Users
As automated agents become normal web users, teams need new verification layers beyond legacy CAPTCHA workflows.
Persistent Agent Memory on the Edge: Data Retention and Compliance Patterns
A practical playbook for adopting managed agent memory services without creating indefinite retention risk.
GitHub Actions 2026 Security Lanes: Dependency Locking, Egress Firewalls, and OIDC Claim Design
How to operationalize the new GitHub Actions security direction with policy lanes, staged enforcement, and measurable rollout outcomes.
GitHub Copilot Cloud Agent in Production: Policy Lanes, Custom Properties, and Incident-Safe Rollout
A practical operating model for enabling Copilot cloud agent by repository class while preserving auditability and incident control.
Claude Design + Canva Integration: Operating Model for AI-First Creative Production
How product, brand, and engineering teams can turn generative design tools into a governed delivery pipeline.
Secure-by-Default AI Delivery: OIDC, Code Scanning Issue Flows, and Dependency Trust Boundaries
A concrete pipeline design that combines OIDC-based package access, code scanning triage, and supply-chain containment.
AI PC Reality Check: A Governance Playbook for Local Model Adoption
How enterprises should evaluate NPU-enabled local AI workflows, security boundaries, and hybrid fallback strategies.
Browser Automation for Agents: Human-in-the-Loop Security Patterns Enterprises Can Audit
Designing browser-capable agents with approval gates, session recording, and least-privilege credentials.
From API Key Leak to 9M JPY Bill: Guardrails for Firebase and GenAI Integrations
A practical security and FinOps response plan to prevent runaway API billing incidents in Firebase and AI-enabled apps.
Personalized AI at Work: Data Boundary Playbook for Gmail, Docs, and Internal Knowledge
How to deliver personalized assistant experiences without violating privacy and enterprise governance boundaries.
API Key Governance for AI Apps: Preventing Cost Explosions and Silent Breaches
A production checklist for preventing API key abuse in AI-enabled applications, inspired by recent developer incident reports.
Copilot Cloud Agent + Custom Properties: Policy-Routed AI Delivery for Enterprises
How to use custom properties and repository policy to safely enable Copilot cloud agents across heterogeneous teams.
OpenAI Agents SDK in the Enterprise: Building a Safety Control Plane
A deployment blueprint for running OpenAI Agents SDK with enterprise safety, from tool permissions and eval gates to incident replay and policy rollback.
Personal AI Phones, OS Defaults, and the Next Competition Battleground
How AI-first smartphones and personal intelligence features shift product strategy toward default control, privacy boundaries, and regulatory design.
Enterprise AI and Internal Memory: Governing Slack and Email-Derived Context Without Losing Velocity
A concrete framework for using internal communication data in AI systems while preserving legal, security, and employee trust requirements.
GitHub Actions in April 2026: OIDC Custom Properties and the Next CI Governance Baseline
How to redesign cloud trust policies, runner strategy, and rerun governance after the latest GitHub Actions changes.
Github Actions Policy First Ci Architecture 2026: Production Architecture Guide
A publication-ready long-form guide based on today's platform and developer trend signals.
Cloudflare Mesh in Practice: Post-Quantum Private Networking Without Traditional VPN Overhead
A practical architecture guide for adopting Cloudflare Mesh with device posture, route governance, and phased migration from VPN/bastion patterns.
Enterprise AI Policy in Practice: A Governance Blueprint Inspired by Japan’s Early Movers
How to turn headline AI policy announcements into enforceable controls, human-in-the-loop decisions, and measurable accountability.