Arkose Labs Solution for Payment Fraud
The Arkose Labs Fraud and Abuse Defense Platform combines risk-based decisioning and intelligent step-up authentication to slash payment fraud rates. Real-time risk assessments inform a unique challenge-response system, which delivers targeted friction in order to eliminate unauthorized payment attempts.
The Fraud and Abuse Defense Platform uses a combination of Arkose Detect and Arkose Enforce. Arkose Detect carries out real-time risk assessment of users. Using deep device and network forensics in conjunction with behavioral patterns, Arkose Labs validates third party signals, which help prevent unauthorized payments and fund transfers, without disrupting
the user experience for authentic users.
This digital intelligence informs Arkose Enforce, which then presents unique enforcement challenges to risky traffic. The challenge-response mechanism adapts to the risk profile of a transaction and is highly effective at eliminating automated attacks and preventing fraudsters from scaling up human-driven payment fraud.
Genuine users have an opportunity to prove their authenticity but fraudsters are forced to spend more time and resources clearing authentication challenges at scale. This slashes potential profit for fraudsters, compelling them to abandon the attack.
Technology Highlights
Sophisticated Risk Profiling
Sophisticated risk profiling triages traffic using deep device and network forensics.
Dynamic Risk Score
Dynamic risk score informs the platform on when to present step-up challenges.
Enforcement Challenges
Enforcement challenges are tailored towards the specific risk profile to root out bots, sweatshops and fraudsters.
The Nature and Complexity
The nature and complexity of challenges adapt intelligently and keep ahead of evolving threats.
A Self-Optimizing Platform
A self-optimizing platform, which is based on continuous learning from risk-based and challenge-response intelligence across 15+ billion transactions.
Historical Attack Pattern Calibration
Historical attack pattern calibration helps unearth and correlate patterns across use cases and industries for more accurate anomaly detection.
Arkose Labs provides powerful protection against evolving payment fraud patterns
CNP Transactions Using Stolen Card Details
Gift Card Abuse
Unauthorized Money Transfers
Abuse of Stored Payment Details Accessed Through Account Takeovers
The Arkose Advantage
100% Attack Remediation SLA
Arkose Labs is the only company to offer a guarantee on stopping all automated payment attacks.
Graduated Risk-Based Friction
Which evolves with the attack patterns and ensures legitimate users have an opportunity to prove their authenticity.
Self-Optimizing Platform
Which uses the feedback loop between risk decisioning & enforcement to continually fortify the platform against evolving threats.
Future-Proof Protection
Designed to render fraud unsustainable in the long-term.
Shifts The Attack Surface
away from the business, with the Arkose Labs platform acting as an intermediary to authenticate a transaction.
Results
Fraud Elimination
Detects & blocks both human & bot-driven attacks to reduce fraud by 50-90%.
Higher Customer Throughput
Increases good customer throughput by 15-25%.
Real-time Remediation
Adaptive, step-up challenges that include machine & human-specific challenges to effectively disrupt the techniques fraudsters use without disrupting user experience for valued users.
Implementation
Arkose Labs integrates seamlessly into existing infrastructure. It becomes an extension of your security and fraud teams without reverse proxies, daily rule setting, or third-party infrastructure.
JavaScript-based implementation with the client and server-side components makes it easy to deploy the solution. The majority of new Arkose Labs customers onboard within three weeks.
Conclusion
The Arkose Labs solution provides digital businesses with complete protection against payment fraud. Using a long-term remediation approach, Arkose Labs breaks the economics of the attacks by dramatically increasing the time and resources needed to carry out successful attacks. This renders attacks financially non-viable for fraudsters, while ensuring good customers can complete transactions in a simple and secure manner.
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