Arkose Labs Makes It Too Costly to Attack You
The Arkose Bot Manager platform cuts attacks off at the source by making cybercriminals expend massive effort to conduct their offensives. This erodes their ROI until the attack is no longer economically viable. This is a fundamental shift in fraud prevention, and one that plays a long game against malicious actors.
Fake Account Registrations | Bonus Abuse | Credential Testing
- Understand true intent of new users
- Detect bulk fake account opening
- Reduce downstream fraud and costs
Account Takeover | Credential Stuffing | Loyalty Point Theft | Payment Fraud
- Protect accounts in real time
- Eliminate large-scale attacks
- Improve customer login experience
BOTS AND ABUSE
Spam | Fake Listing & Reviews | API Abuse | Web Scraping | Inventory Hoarding | In-Game Abuse and RMT
- Protect the integrity of platforms
- Eradicate malicious bot traffic
- Safeguard customers from scams
Stop Bots, Not Good Users
Combining a dynamic risk engine with adaptive step-up authentication, the Arkose Bot Manager platform does the heavy lifting for you, distinguishing good vs. bad intent through multi-layered detection that aggregates real-time signals to spot hidden signs of bot and human-driven attacks. When suspicious traffic is encountered, the platform expertly confronts it in real-time via Arkose MatchKey, a state-of-the-art series of challenges with industry-leading security.
The result is a secure and seamless digital experience for good users, while stamping out abuse in all its forms on your website and apps.
Defense-in-Depth Detection, Dynamic Response
Arkose Labs delivers long-term account protection and attack deterrence by undermining the economic drivers behind cyberattacks. Our platform combines machine learning, threat intelligence, and dedicated expertise to detect 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 deter future attempts, while delivering a more secure experience for genuine customers.
Real-Time Risk Classification
Arkose Bot Manager collects real-time intelligence to unearth suspicious behavioral patterns across devices, networks, and third-party risk engines. It accurately uncovers the underlying intent of the user, which helps you confidently choose the most appropriate response strategy.
Device ID & Reputation
Deep device forensics is used to fingerprint devices based on characteristics and integrity over time. Works for desktop, mobile, smart TVs, and gaming
Network & IP Assessment
Arkose Labs combines a proprietary IP scoring system with third-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 between automation, bad human behavior, and good user behavior.
Customer Data Exchange
Flexible APIs can ingest data from proprietary or third-party risk engines to improve risk assessment accuracy and inform Arkose Labs' challenge-response mechanism.
Never Choose Between Strong Security & User Experience
The combination of risk decisioning and targeted enforcement allows app security teams 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
Targeted enforcement increases customer throughput by 20%+
99% of flagged good users solve a challenge on the 1st try
Challenge interaction data trains the decision engine
Improve user experience by reducing reliance on MFA
ML Decisioning & Data Sharing
The Arkose Bot Manager platform is centered around an ML-driven decision engine that processes real-time signals with our deep historical intelligence. With 150+ global rules out of the box, the platform detects signs of fraud on day 1 that others miss. Risk classifications are backed by deep sharing to make threat intelligence more actionable.
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 cybercrime. Rules and patterning correlate telltale 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. The orchestration hub is supported by a behind-the-scenes team monitoring traffic flow and attack patterns to adjust telltales and enforcement challenges accordingly.
Open Data Sharing
Unlike black-box solutions, Arkose Labs provides 70+ raw risk signals for better visibility behind each risk score. All risk signals collected by Arkose Labs can be ingested into existing models to improve decision accuracy early in the user journey, while providing better insight downstream.
Dynamic Attack Response
Arkose Bot Manager provides full-spectrum detection plus the power of user-centric challenge-response to stop attacks before they cause damage. When traffic is flagged as suspicious, the platform provides secondary screening and targeted attack response that breaks 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 have no idea how to solve. No off-the-shelf technology can be used to solve our challenges, forcing attackers to continuously build AI, wasting 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.
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 risk models.
Attack SLA & Warranty
We stand by our customers with a contractually guaranteed attack SLA and industry-first warranties that cover up to $1M in the event of credential stuffing or SMS toll fraud attacks.
Arkose Global Intelligence Network
Arkose Labs takes a consortium approach to cyberattacks, 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 telltale fraud patterns.
The Arkose Advantage
Powerful protection backed by commercial assurance and industry-first limited warranties
Arkose Labs technology achieves unparalleled accuracy without compromising data protection compliance
Unified workflow brings together the detection and the proprietary challenge. The lower the risk, the easier the challenge
Eliminate losses, reduce costs, and streamline efforts by preventing attacks before they advance in your ecosystem
Arkose Labs empowers your teams by working as a true partner in fighting digital attacks and delivering insights specific to your business
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.
- ATOs costs of $100K per week
- Damaged relationships and lack of customer trust
Arkose Labs Result
- 75% reduction in ATO attempts
- Slashed compromised account costs
- Minimal credential resetting led to significant resource savings
Dropbox Protects Millions of Accounts
Dropbox utilized Arkose Bot Manager to stop cyberattackers looking to abuse the sign-up process and hack into genuine users’ accounts.
- Sign-up process abused for account enumeration
- Unacceptable level of friction for customers
Arkose Labs Result
- Intervention rates for customers slashed by 70%
- Greater resilience to account takeover attacks
Microsoft Outlook.com Tackles Fake Account Abuse
Outlook.com was the target of attackers looking to create fake accounts at scale to then disseminate spam and malicious content.
- SMS tokens were expensive and circumvented by attackers
- Customer throughput was impacted by SMS
Arkose Labs Result
- 98% reduction in abuse
- 33% increase in good user throughput
The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2023 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with offices in London, Costa Rica, and Brisbane, Australia, Arkose Labs protects enterprises from cybercrime and abuse.
Reduce fraud attempts by up to 70% with fraud deterrence. Request a demo today!
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