- SolutionsUSE CASESInventory Hoarding
Banking & fintech accounts
reCAPTCHA Alternative: Why 10 companies switched from reCAPTCHA to Arkose Labs to win against bots.
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Adobe: Adobe Reduces Fake Account Risk and Improves User Experience with Arkose Labs
Arkose Labs Bankrupts the Business of Cybercrime
Cyberattacks will continue to thrive as long as there is a potential for profit. Arkose Labs undermines the financial incentive behind attacks by sabotaging the ROI of threat actors and rendering the attack fruitless.This is a fundamental shift from attack prevention to attack 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 stopping attacks 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.
Protection for the Most Targeted User Touchpoints
Protect user accounts against credential stuffing and account takeovers, which lead to downstream abuse including changing user credentials, fraudulent purchases, and payment fraud.
Denial of Inventory
Stop inventory hoarding from automated bots that add items to shopping carts, which can prevent legitimate purchases and hurt your customers by driving up prices.
New Account Fraud
Streamline the account sign-up process and prevent attackers from using stolen or fake user credentials to abuse promos and disseminate spam.
Carding and Gift Card Fraud
Detect large-scale testing of stolen payment credentials on checkout pages, and prevent fraudulent gift card purchases.
Abuse of P2P Marketplaces
Stop bot-driven abuse that disrupts the integrity of peer-to-peer marketplaces including fake reviews, fake listings, spam, and malicious content.
Loyalty Point Theft
Prevent bad actors from breaking into customer accounts in order to monetize accumulated loyalty points and rewards.
Arkose Labs Attack Deterrence Platform
Our AI-powered platform defeats persistent bots and coordinated human attacks on the most targeted user touchpoints—websites and apps. Invisible risk assessments allow good users to pass through seamlessly and without friction. High-risk traffic is triaged for active attack response using the strongest CAPTCHA in the business, Arkose MatchKey, which deters attackers while also delivering a more secure experience for good users.
This cost-effective solution eliminates the need for hardware, software, and personnel, allowing retailers to save both time and money. Moreover, the automated solutions offered by Arkose Labs reduce costs associated with chargebacks and help protect businesses from financial losses due to cybercriminals. With 20% of customers being Fortune 500 companies, our solutions deliver a strong ROI by improving operational efficiency and reducing the manual effort required to manage security operations.
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 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.
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 correlates attack 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 Global 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 tell-tale attack patterns.
Arkose Detect: Real-Time Risk Classification
Arkose Detect collects real-time intelligence to unearth cyberattack 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 based on their characteristics and behavior, while monitoring their integrity over time. It works for desktop, mobile, smart TVs, and gaming consoles.
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 good user behavior from tell-tale 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 Bot Manager: Attack Response & Deterrence
Arkose Bot Manager offers an adaptive approach to attack prevention and account security. Our technology combines highly-transparent detection with targeted attack response to catch fraud early in the customer journey, without impacting good users.
Arkose Bot Manager combines defense-in-depth detection with dynamic attack response to navigate unclear trust signals. When traffic is flagged as suspicious, the Arkose Labs’ platform provides secondary screening and targeted attack response that break the economics of bot and human-driven attacks. Arkose MatchKey collects user interaction data to further validate the user’s intention and deliver truth data back to the decision engine. As a result, fraud and security teams gain the advanced detection power, risk insights, and option for user-friendly enforcement they need to go from bot mitigation to attack deterrence.
REAL-TIME BOT DETECTION
Catch Evolving Attacks with Greater Transparency
Today, bad actors have endless tools and resources to expertly mimic good users and circumvent defenses. Our multi-layered detection aggregates real-time device, network, and behavioral signals on a customer workflow to spot hidden signs of bot and human-driven attacks, such as device and location spoofing.
- Multi-layered device, IP, and behavioral detection
- Access to 70+ risk attributes to enrich existing models
- ML decisioning driven by 150+ global attack signatures
- 24/7 SOC threat analysis and tuning
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 attackers 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 cyberattack 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 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
The Arkose Advantage
Arkose Labs increases the cost of cybercrime, making it economically unsustainable to fulfill attacks
Powerful decision engine selects the most effective response strategy to reduce manual reviews
Protection across the Digital Experience
One flexible solution that protects against different attack vectors across digital 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
Arkose in Action
eComm Giant Beats Fake New Accounts
One of the world's largest ecommerce marketplaces was targeted by bots and human fraud farms to set up fake new accounts at scale.
- Subscription promo abuse, fake reviews, and chargebacks
- Existing security measures were damaging good user experience
Arkose Labs Result
- 54% reduction in fake new accounts created
- No damage to good user throughput rates
Major Travel Site Slashes Bot Scraping
A major travel booking site had millions of bots scraping information daily, accounting for up to 75% of its traffic during attack peaks.
- Damage to look-to-book ratio
- Bot volume put a strain on site’s infrastructure
Arkose Labs Result
- 99% reduction in malicious bot traffic
- Look-to-book ratio increased from 1% to 6%
Gift Card Network Stops Card Testing
A premier distributor of prepaid cards and gift cards was targeted for card balance testing and attempts to redeem stolen cards.
- Existing solution was being by passed by trained bots
- Poor user experience
Arkose Labs Result
- 98% reduction in bot attacks
- Improved good user experience
Book a Meeting
Meet with a fraud and account security expert
Fraudsters are profiting off retailers long before a transaction. See how Arkose Labs can diminish fraud losses by stopping ATOs & fake accounts from the start.
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