The smartest signals for tackling complex fraud
Sardine continuously monitors thousands of signals to predict the likelihood of a scam in progress, or when a transaction is likely to result in a chargeback or ACH return.
Detect suspicious device IDs, browser user-agents, and mismatches in true vs. stated time zones, operating systems, geolocation, and IP addresses.
Catch irregularities in user typing speed, mouse movements, scrolling and swiping patterns, context switching, hesitation and distraction events, and signs of unusual behavior.
Prevent mobile emulators, remote access tools (RATs), tampered apps, VPN/Proxy usage, session hijacking, jail-broken phones, man-in-middle attacks, and bots.
Prevent fraud at every customer touchpoint
Sardine captures more data across the entire customer lifecycle, from sign ups to logins and payments — we stop more fraud and protect your customers from scams.
Stop fraudsters from creating fake accounts with synthetic or stolen identities. Detect when mobile emulators, virtual machines, device farms, or automated scripts are used during sign ups.
Catch signs of unauthorized users, such as excessive tab switching, copying and pasting of passwords, logins from unknown devices or locations, stressed typing or scrolling patterns, and suspicious changes to account settings.
Identify fraudulent account funding and transfers, such as use of compromised accounts and cards, linking multiple accounts or cards in a short time span, uncharacteristic movement of funds, and money muling.
Prevent chargebacks and ACH returns by catching suspicious patterns and mismatched billing details. Detect anomalous behavior such as card testing or high velocity of transactions.
Stop the growing threat of social engineering scams
Sardine specializes in managing extreme risk and preventing modern scams and account takeovers (ATO). Our tools are designed to stop these threats before they happen.
Monitor for remote access tools (RATs), screenshots, and active calls during customer sessions. Flag large transfers sent to unknown and blocklisted accounts.
Detect irregular typing speed, navigation patterns, and number of distraction events to catch fraudsters in the act.
Track data transfer rates, source and destination IPs, or automated clicking patterns that can suggest the threat of malware or bot activity.
Identify potential fraud rings linked to scams. Use our network graph to explore suspicious relationships between users, devices, accounts, and IP addresses.
Reduce customer drop offs caused by unnecessary friction
Device and Behavior captures a lot of information about the user and session in the background, without impacting the customer experience in any way.
Avoid overly conservative rulesets that stop genuine transactions from going through.
Verify trusted users and assess risk in the background without adding steps to your checkout.
Catch fraud without running unnecessary security checks (OTP, 2FA) that add friction.
Offer higher funding and purchase limits for trusted users, and increase average order value.
