Arkose Labs Bankrupts the Business of Fraud
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 financial services companies trust Arkose Labs to detect and deter attacks at user authentication touchpoints where account takeovers, payment fraud, credential stuffing, and fake account creation attacks originate. By rooting out fraud early, companies are able to strengthen relationships with customers by offering an increasingly secure financial platform without sacrificing a positive user experience.
Protection for the Most Targeted User Touchpoints
Account Takeover
Protect user accounts against credential stuffing and account takeovers, which puts users' critical financial accounts at risk
New Account Fraud
Eliminate fake accounts in order to prevent genuine customers falling victim to scams issued by users with false identities
Payment Fraud
Accurately detecting and protecting against payment fraud, prevent excessive chargeback costs, and helps keep to compliance standards
Micro-Deposit Fraud
Protect any user action within web and mobile applications, for example adding linked accounts that are abused for micro-deposit fraud
The Arkose Labs Fraud Deterrence Platform
The Arkose Labs platform empowers security and fraud teams to root out large-scale, persistent attacks, with real-time risk classifications of traffic, powered by multi-faceted machine learning and 24/7 analysis from a Security Operations Center.
Unlike black box solutions, our “clear box” approach focuses on delivering actionable insights with clear explanations for risk classifications and a clear path to remediation. This goes beyond solutions that provide probabilistic risk scores, which often require a great deal of resource time to integrate, fine tune, and define downstream authentication workflows`. Our unique combination of risk classification and dynamic attack response delivers the appropriate pressure to the attack signature, while keeping disruption to legitimate users to a minimum.
Arkose Decision Engine: Big data & Advanced Analytics
The Arkose Labs platform is centered around an AI-driven decision engine that processes real-time signals with our deep historical intelligence to orchestrate a targeted attack response. It is continuously learning from real-time assessments and challenge interaction data, ensuring that genuine users are able to pass seamlessly whilst detecting evolving attack techniques.
Machine Learning Framework
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.
Attack Pattern Correlation
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.
Response Orchestration
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 Detect: Real-time Risk Classification
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.
Device ID & Reputation
Deep device forensics is used to fingerprint devices and monitor integrity over time based on its characteristics and behavior. Works for desktop, browser, mobile apps, and smart TVs.
Network & IP Assessment
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.
User Behavioral Analysis
Behavioral biometrics such as keystroke, gyroscope, and page familiarity are used to distinguish good user behavior from automation and bad human behavior.
Customer Data Exchange
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.
Arkose Enforce: Attack Response & Deterrence
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.
Bots Defense
Suspected bot are presented with a deep bench of challenges that machines have no idea how 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.
Human Fraud Challenges
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.
Risk Score & Real Time Logging
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.
Attack SLA & Warranty
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.
Solving the False Positive vs False Negative Conundrum
The combination of risk decisioning and targeted enforcement allows platforms 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
The Arkose Advantage
Guaranteed Efficacy
Powerful protection backed by commercial assurance and industry-first limited warranty
Managed Services
Arkose Labs empowers your teams by working as a true partner in fighting fraud and delivering insights specific to your business
Minimum Friction
Unified workflow brings together the detection and the proprietary challenge. The lower the risk is, the easier is the challenge
Early Detection
Avoid high-cost authentication measures and downstream losses by opting for early screening methods
Privacy Friendly
Arkose Labs technology achieves unparalleled accuracy without compromising data protection compliance
Results Fast
New customers will see results within days, not weeks or months
Arkose in Action
Fintech Neobank Beats ATOs
One of the world’s most prominent fintech firms was targeted by bots executing credential stuffing attacks at scale. Successful attacks lead to the draining of customer funds and poor user experience.
Attack Impact
- Appeared untrustworthy to customers and damaged overall relationships
- High repayment costs as a result of ATOs
Arkose Labs Result
- 75% reduction in ATO attempts
- Slashed compromised account costs previously hitting $100,000 per week
- Resources saved from reduction in resetting credentials on compromised accounts
Leading Digital Bank Platform Prevents Fake Account Creation
This leading digital bank was hindered by fake accounts that caused for further dissemination of spam on their platform.
Attack Impact
- In effort to maintain good user experience, fraudsters were able to sneak by convenient onboarding processes and further exploit the platform
- Fraudsters would apply and qualify fake accounts toward loans and credit cards with no intention of paying back the money
Arkose Labs Result
- Arkose Labs prevented against fraudulent loan dispersal
- Streamlined the new account process to avoid fake account creation
Blackhawk Network Puts an End to Carding
Blackhawk Network has grown rapidly and has engaged in partnerships and created innovative solutions to enable gift card use in the digital realm. It is trusted by retailers and consumers alike.
Attack Impact
- Fraudsters would test stolen gift cards and prepaid cards to drain the remaining balances leaving the company to repay the victims of stolen cards.
- Other bot and human-driven attacks on their website caused for a poor user experience.
Arkose Labs Result
- 98% reduction in bot attacks
- 60% reduction in human-driven fraud
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