Fingerprinting
The internet's most precise device identity platform
Don't take our word for it. See it yourself.
Hello, visitor
Why Fingerprinting Matters
MRC reports that 83% of merchants experienced first-party misuse, ATO fraud, or refund abuse last year. Payment fraud costs e-commerce merchants $48B/year. These fraud vectors are forecasted to continue growing, pushing companies to increase spending on anti-fraud measures.
Traditional fraud stacks focus on transactions, network level signals, and predictive scoring with minimal real-time visibility into what happens in the browser runtime.
Automation through synthetic browsers ('agents') are used by both consumers and attackers. This adds noise to detection and bypasses traditional bot detection like CAPTCHAs and IP reputation. Advanced behavioral signals are needed to prevent AI-bot attacks on your website.
Reduce fraud that eats into profit margins
How cside fingerprinting works
Collect signals
Lightweight script captures 102+ network, device, and behavioral signals on every page load. No cookies, and privacy compliant.
Identify every visitor
Signals are combined into a persistent visitor ID that holds across sessions, incognito, cleared storage, and VPNs.
Detect suspicious sessions
Feed risk scoring based on bot detection, known malicious VPNs/IPs, and behavioral insights.
Make fraud decisions
Send raw signals to your rules engine or use our preconfigured combinations to block, challenge, or flag suspicious visitors.
Get started with cside
Free plan includes 1,000 API calls per month with basic signals. Upgrade for full intelligence starting at $20/month.
Trusted by enterprise security & fraud teams:
“Evolving fraud tactics and shifts in consumer behavior are colliding for merchants. By joining forces with cside, we're delivering solutions that address real-world issues merchants struggle with daily, such as friendly fraud chargebacks.”
Monica Eaton, CEO of Chargebacks911.
Raw signals for fraud prevention
Access signals through a developer friendly API or webhooks. Protect payment & login pages, forms, and platform integrity.
Designed for frequently targeted industries
Passive fingerprinting with zero user friction
cside collects device and browser signals passively during normal page loads. There are no challenges, pop-ups, or interruptions. Legitimate users never know it's running, while fraudsters are identified by the signals they can't hide.
From session data to chargeback evidence
Every fingerprinted session generates a rich evidence trail. When a dispute comes in, you can pull session data to show that a trusted device and account made the disputed purchase. This is the strongest evidence signal under Compelling Evidence programs from both VISA and Mastercard. Beyond disputes, fingerprinting also reduces chargebacks by preventing unauthorized purchases from hijacked accounts. Stolen credit card testing drives up enumeration ratios and triggers false purchases that lead to additional chargebacks. All of these fraud vectors can be mitigated with fingerprinting.
Getting started with cside Fingerprinting
Setup takes minutes: add the cside script to your site, and fingerprinting starts working immediately. Sessions are captured, identities are resolved, and your dashboard populates with fraud signals.
FAQ
Frequently Asked Questions
cside helps you spot suspicious browser environments, repeat devices, and risky sessions earlier. That gives your team better signals for blocking, challenging, or reviewing activity before it turns into losses.
Yes. cside can send raw fingerprinting signals through APIs and webhooks so your team can use them in your own systems. That makes it easier to plug browser intelligence into internal workflows, rules, and case review tools.
Common examples include account takeover, multi-accounting, account sharing, promo abuse, and stolen card testing. It is especially useful when the same actor keeps changing IPs but shows similar browser or device patterns.
IPs are still useful, but they change fast and are easy to rotate. The rise of residential proxies is decreasing the effectiveness of IP-based blocking. Fingerprinting gives you a deeper view of the browser and device environment, which helps uncover repeat abuse that IP checks alone can miss.
Yes. Fingerprinting can help surface suspicious browser environments and automation patterns that look more human than old-school bots. That matters more now because AI agents are getting better at blending into normal traffic.
No. Most teams use cside as an additional layer of intelligence. It fits well with existing anti-fraud tools, review queues, and custom decisioning systems.
Teams can start quickly and begin collecting browser signals without a huge implementation project. From there, you can decide how deeply to wire the signals into your fraud workflows.
Most anti-fraud suites are strongest at orchestration, rules, and case management. cside adds browser-layer visibility, which helps teams see signals those systems often do not collect on their own.
Yes. Better signals don't just help you catch bad traffic. They also help you avoid challenging every session the same way, which can lead to a smoother experience for good users.