Keshia Rose's Articles - Fingerprint Blog | Fingerprint

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Keshia Rose

Role

Senior Developer Evangelist

Bio

Keshia is a Senior Developer Evangelist at Fingerprint with over 12 years of experience helping people make sense of data and build API-driven products that developers love. She’s passionate about enabling both developers and non-developers to succeed and drive impact. Currently, she focuses on equipping developers with the tools, content, and insights they need to fight fraud. Driven by curiosity, Keshia enjoys learning new skills and finding creative ways to support others through technology. In her free time, she loves going to concerts, traveling, and working on coding side projects.

Keshia Rose Articles

Keshia Rose's Articles

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August 21, 2025

How to prevent mobile fraud in embedded browsers

Embedded browsers like webviews and Chrome Custom Tabs make mobile flows fast to launch, but create session and fraud challenges. Learn how Fingerprint’s device intelligence can help you recognize users and maintain secure, seamless experiences.

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Client-side vs. server-side fingerprinting to prevent account takeover

Client-side-only fingerprinting can’t block modern account takeover attacks. Discover how fraudsters exploit infostealers and browser tampering and why server-side device intelligence is critical.

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Why Cloudflare's Pay-Per-Crawl alone won't stop AI agents

Cloudflare’s pay per crawl is a big step forward for content monetization, but it’s not enough on its own. Learn how pairing it with Fingerprint’s device intelligence closes the gaps and keeps your content protected from advanced bots and scrapers.

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How to detect location spoofing and prevent fraud

Location spoofing is a growing fraud tactic used to bypass geo restrictions, pricing, and compliance. Learn how to detect fake locations before they cause damage.

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How to detect click farm fraud in 2025

Click farm fraud drains ad spend and skews engagement data. Learn the latest detection and prevention strategies to keep your campaigns clean.

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Bank fraud detection in 2025: The ultimate guide to prevention

Bank fraud is evolving rapidly. Discover the most common attack types and how device intelligence empowers fraud teams to detect and stop threats in real time.

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TLS fingerprinting: What it is and how it works

TLS is a cryptographic protocol that encrypts internet traffic for online security. It aids in understanding network activity and preventing fraud.

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The limits of JA3 fingerprinting: Why it fails at accurate device identification

Discover JA3 fingerprinting, its uses in device identification, its limitations, and what's needed for robust identification.

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How to detect a VPN to prevent fraud in 2025

Learn VPN detection methods including database validation, timezone mismatch, OS mismatch & more. Detecting VPNs better identify users and prevents fraud.

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Device Fingerprinting Guide: What It Is, How It Works + Examples

Learn how security teams use device fingerprinting to track users, uncover hidden threats, and shut down fraud before it starts.

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Bot detection: How to block bad bots in 2025

Bot detection is the process of identifying and blocking automated web traffic, typically used in cybersecurity to prevent malicious activities.

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Guest checkout fraud: How to stop repeat offenders

Allowing guest checkouts boosts conversion rates but also opens the door to repeated anonymous payment fraud. Learn how to detect and stop fraudsters while maintaining a seamless experience for legitimate shoppers.