Bot detection without CAPTCHAs: a device-first approach
How to stop bots without harming conversion: detect automation with device identity and Smart Signals, and reserve challenges for high-risk sessions only.
Deepak Raj
VP Tech, DeepID.
Articles by Deepak Raj.
26 articles, newest first.
Mobile root detection limitations (and what to do instead)
Root/jailbreak checks are not enough. Learn the limitations, common bypasses, and how layered device + SIM intelligence improves mobile fraud detection.
Device ID vs cookies: why modern fraud teams switch
Cookies fail for fraud—they’re easy to delete or spoof. Device identity enables stronger recognition, smarter policies, and better fraud detection.
Risk scoring metrics: what fraud teams should measure (beyond “blocks”)
Fraud metrics guide: track outcomes and controls for risk scoring and policy decisions—improve results without raising false positives.
Case study: marketplace promo abuse reduced with device identity
Marketplace cut promo abuse with device identity: targeted tiers, fewer false positives than IP blocks, and better revenue outcomes.
Webinar recap: Device intelligence 101 for fraud and growth teams
A recap of our Device Intelligence 101 webinar: how device ID + Smart Signals reduce fraud and false positives, and a rollout plan for fraud and growth teams.
Press: DeepID launches SIM Binding for OTP security and SIM swap detection
DeepID launches SIM Binding to help fintech and wallet teams detect SIM swaps and protect OTP delivery using device-linked SIM intelligence.
Case study: fintech reduces SMS fraud with SIM intelligence and device integrity signals
How a fintech reduced SMS fraud: detect SIM swaps, flag instrumented devices, apply tiered OTP policies, and measure OTP cost and takeover outcomes.
How to detect device farm fraud and prevent automated attacks
Learn what device farms are, which detection signals work, and how to deploy tiered enforcement to stop automated abuse while reducing false positives.
Inside Proximity Detection with DeepID's CTO
Learn how proximity detection supports fraud prevention: how to link coordinated abuse, where to deploy it first, and how to protect UX with tiered policies.
The 10 best e-commerce fraud prevention tools in 2026
A practical guide to evaluating e-commerce fraud prevention tools in 2026, including device identity, bot defense, payment risk, and step-up policies.
SIM Binding: The future of mobile security
Learn what SIM Binding is, where it improves OTP and takeover defense, and how to deploy it with tiered policies to reduce fraud and preserve conversion.
See DeepID on a real phone.
We show your fraud, security and engineering leads how DeepID would run your sign-up, login or payment journey, then plan a pilot on your own traffic.