Ring Security & Privacy Control Center: A QE Case Study
Suneet Malhotra
Nov 20, 2023
How Do You Build Trust in IoT Devices Through Quality Engineering?
In the IoT space, a security vulnerability is a failure of brand promise. Ring needed to launch a comprehensive "Security & Privacy Control Center" across its entire ecosystem (iOS, Android, and Web) while coordinating across multiple global teams.
TL;DR: Key Takeaways
- Cross-Functional Leadership: Managed 25+ QE/SDETs across iOS, Android, and Web
- Security Features: 2FA, passwordless login, Real ID verification, end-to-end encryption
- User Trust: Enhanced account security and reduced support escalations
- Global Coordination: Successfully launched across multiple global engineering teams
- Quality Roadmaps: Established clear vision and communication frameworks
The Strategic Approach
Cross-Functional Orchestration: Managed an organization of 25+ QE/SDETs, acting as the coordination hub between Firmware, Cloud, and Mobile teams.
Rigorous Security Testing: Led the QA strategy for mandatory 2FA (SMS/Email OTP), passwordless login via trusted devices, and E2E encrypted video.
Shift-Left Methodology: Integrated security validation early in the SDLC to ensure that privacy features were baked into the architecture, not added as an afterthought.
The Impact
Enhanced User Trust: Successfully launched the Control Center, which became a cornerstone of Ring's user safety commitment.
Reduction in Escalations: Streamlined the login and verification flows, significantly reducing support tickets related to account access and security.
Organizational Alignment: Established clear quality roadmaps and vision that improved communication across the global engineering organization.
Share this post
You Might Also Like
Test AI Latency from First Token to Finished Answer
A fast first token can hide a late or invalid answer. Test queueing, streaming, and completion with a synthetic workload before accepting a model-serving change.
AI & AutomationTest the Trace Before You Trust the Dashboard
A correct AI answer can hide a broken trace. Use a synthetic request and a deliberately stripped context header to test whether your debugging evidence survives service boundaries.
AI & AutomationThe Evaluator Needs an Abstain State
A judge that must choose pass or fail will turn uncertainty into false confidence. Add an abstain state, calibrate it, and test the cases where the evaluator should refuse to decide.
AI & AutomationA Valid JSON Response Can Still Be a Bad Contract
JSON parsing is not schema testing. For AI features, QA needs to verify types, allowed values, relationships, and what the model was actually permitted to claim.
Latest Blog Posts
Test AI Latency from First Token to Finished Answer
A fast first token can hide a late or invalid answer. Test queueing, streaming, and completion with a synthetic workload before accepting a model-serving change.
Test the Trace Before You Trust the Dashboard
A correct AI answer can hide a broken trace. Use a synthetic request and a deliberately stripped context header to test whether your debugging evidence survives service boundaries.
The Evaluator Needs an Abstain State
A judge that must choose pass or fail will turn uncertainty into false confidence. Add an abstain state, calibrate it, and test the cases where the evaluator should refuse to decide.
Related Tools & Demos
The QA Field Manual to Language Models
A free 24-chapter book. Start at “what is AI, really?” and finish with a small language model you built yourself — one that reads a failing Playwright test and proposes a fix you can run. Read it in your browser, or download the PDF or the Mac app.
View Source Code →Multi-Model LLM Harness
One interface to call any AI model — capability routing, fallback chains, budgets, circuit breakers, and a quality feedback loop. A practical architecture pattern write-up.
Automated Trading System
Multi-engine trading platform with real-time risk management, regime-based strategy selection, and automated order execution.
View Source Code →
Stay in the Loop
Get weekly insights on AI-driven QA, engineering leadership, and automation strategies.
No spam, ever. Unsubscribe anytime.