As long as there is profit to be made, fraudsters will continue to attack. Arkose Labs bankrupts the business of fraud by sabotaging attackers’ ROI and making it uneconomical to attack you. This is a fundamental shift from fraud prevention to fraud deterrence.
Global retailers trust Arkose Labs to detect and deter attacks at user authentication touchpoints where account takeover, fake account creation, bonus abuse, inventory hoarding, and scraping originate. By rooting out fraud early in the customer life cycle, you’ll reduce stress on the payment flow and have greater confidence it’s a real customer at checkout.
Protect user accounts against credential stuffing anaccount takeovers, which leads to downstream abuse including changing user credentials, fraudulent purchases, and payment fraud.
Prevent inventory hoarding from automated bots which add items to shopping carts to prevent legitimate purchases, in order to make money or disrupt a competitor.
Streamline the account sign-up process and prevent fraudsters from using stolen or fake user credentials to abuse promos and disseminate spam.
Detect large-scale testing of stolen payment credentials on checkout pages, and prevent fraudulent gift card purchases.
Stop bot-driven abuse that disrupts the integrity of peer-to-peer marketplaces including fake reviews, fake listings, spam, and malicious content.
Prevent fraudsters from breaking in to customer accounts in order to monetize accumulated loyalty points and rewards.
Arkose Labs delivers long-term account protection and fraud deterrence by undermining the economic drivers behind attacks. Our AI-powered platform defeats persistent bots and coordinated human attacks on the most targeted user touchpoints on websites and apps. Invisible risk assessments allow good users to pass through seamlessly. High-risk traffic is triaged for active attack response using innovative enforcement challenges that deters future attempts, while delivering a more secure experience for genuine customers.
The Arkose Labs platform is centered around an AI-driven decision engine that processes real-time signals with our deep historical intelligence to continually orchestrate a targeted attack response. It continuously evolves from real-time assessments and challenge interaction data, ensuring that genuine users are able to pass seamlessly whilst detecting evolving attack techniques.
Embedded machine learning assesses anomalies from real-time signals, historical attack patterns, and attacks across the Arkose Labs Global Network of customers. Our AI-driven platform evolves models in real-time to rapidly adapt to evolving attacks.
Arkose Labs takes a storytelling approach to fraud. Rules and patterning correlates fraud tell-tale signals, velocity and distance, and historical customer behavior to validate whether or not a user’s story checks out.
Combining real-time insights with the risk profile of the user, our dynamic defense determines the appropriate step-up challenges for the risk profile. The orchestration hub is supported by a behind-the-scenes team monitoring traffic flow and attack patterns to adjust telltales and enforcement challenges accordingly.
Arkose Labs takes a consortium approach to fraud, leveraging anonymized threat intelligence from over 4.1B IP addresses across a vast global network of customers each year. From day 1, Arkose Labs customers benefit from a database of over 4,000 tell-tale fraud patterns.
Arkose Detect collects real-time intelligence to unearth fraudulent behavioral patterns across devices, networks, and third-party risk engines. It accurately uncovers the underlying intent of the user, which informs the appropriate attack response.
Deep device forensics is used to fingerprint devices based on its characteristics and behavior, while monitoring its integrity over time. Works for desktop, mobile, smart TVs, and gaming consoles.
Arkose Labs combines a proprietary IP scoring system with 3rd party reputation lists to monitor for abnormalities such as spoofing location or using cheap IP addresses.
Behavioral biometrics such as keystroke, gyroscope, and page familiarity are used to distinguish good user behavior from tell-tale automation and bad human behavior.
Our flexible APIs can ingest data from proprietary or third-party risk engines to improve risk assessment accuracy and inform the usage of Arkose Labs’ enforcement challenge.
When traffic is flagged as suspicious, Arkose Enforce provides secondary screening and targeted attack response that break the economics of bot and human-driven attacks. Challenges collect user interaction data to further validate the user’s intention and deliver truth data back to the decision engine.
Suspected bots are presented with a deep bench of challenges that machines are unable to solve. No off-the-shelf technology can be used to solve our challenges, forcing fraudsters to continuously build AI and waste time and resources.
Arkose Enforce presents time-absorbing challenges when attackers use human labor to circumvent anti-bot technology. These challenges deliberately waste the time and resources of the fraud farm, making it unprofitable.
An open API platform enables customers to ingest honest and transparent data directly from Arkose Labs. With our real time logging API, customers can access insights from all sessions to enhance existing risk models.
Arkose Enforce deploys a foolproof acid test to stop bots in their tracks. Arkose Labs is so effective against even the most persistent bots, we stand by our customers with a contractually guaranteed attack SLA and an industry-first credential stuffing warranty.
The combination of risk decisioning and targeted enforcement allows retailers to be more aggressive against persistent attacks without fear of impacting good users. In the event of a false positive, Arkose Labs’ user-centric secondary screening diminishes the risk of good users being blocked or impacting conversion rates.
High-risk traffic is challenged, never blocked
Invisible screening means customers rarely see challenges
Flagged good users easily solve challenges on the first try
Challenge interaction data trains the decision engine
Improve user experience by reducing reliance on MFA
Arkose Labs increases the cost of fraud making it economically unsustainable to fulfill attacks
Powerful decision engine selects the most effective response strategy to reduce manual reviews
One flexible solution that protects against different attack vectors across digial touchpoints
Eliminate losses, reduce costs, and streamline efforts by preventing attacks before they advance in your ecosystem
Arkose Lab technology achieves unparalleled accuracy without compromising data protection compliance
New customers will see results within days, not weeks or months
One of the world's largest ecommerce marketplaces was targeted by bots and humans fraud farms, to set up fake new accounts at scale.
A major travel booking site had millions of bots scraping information daily, accounting for up to 75% of its traffic during attack peaks.
A premier distributor of prepaid cards and gift cards was targeted for card balance testing and attempts to redeem stolen cards.
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