Abuse Prevention
Online Abuse Prevention Powered by Behavioral Intelligence
Online Abuse Prevention Powered by Behavioral Intelligence
Prevent bonus abuse, business logic abuse and API abuse. Detect fraudulent or abusive content before it is uploaded. Protect end user trust and safety.
Book a Demo
Use Cases Darwinium Solves
Darwinium protects your digital ecosystem from the most complex and evolving forms of abuse, from business logic abuse that you might want to deter or disincentivise, to more fraudulent abuse patterns such as API scraping that exposes sensitive data. Protect your digital estate and brand reputation with tailored remediation strategies by use case.
Returns Abuse and Wardrobing
Identify users who repeatedly abuse returns policies, such as ordering above a free delivery threshold and then returning items. Uncover behaviors indicative of wardrobing, e.g. returning expensive single item purchases. Tailor customer journeys to remove free delivery perks for repeat offenders.
Account Sharing & Collusion
Attackers use stolen or shared credentials to access and exploit user accounts, for example, bypassing the need for multiple paid subscriptions. Detect unusual access access patterns and link identities and accounts across sessions, without relying solely on device or location intelligence.
Promo & Loyalty Abuse
Fraudsters spoof devices or create multiple accounts to claim new user offers or player bonuses. Darwinium identifies multiple new account creations from automated bots and click farms that are accessing rewards and offers, even if they bypass traditional bot detection or device fingerprinting techniques.
Content & Review Spam
Fake reviews and spam content damage platform integrity and customer trust.
Darwinium can detect accounts posting multiple reviews in quick succession, or content that is duplicated across multiple posts or listings.
Scraping, Automation & API Abuse
Bring the context of downstream events to the security perimeter, to better discover, monitor and maintain new and existing APIs. Detect and prevent high velocity attacks, low and slow probing, and attempts at reverse engineering with velocity, sequence and parameter monitoring.
Business Logic Abuse
Fraudsters work out ways to game systems for financial gain, abusing returns, referrals, and promotions. Darwinium identifies patterns of behavior contrary to set thresholds or parameters, allowing businesses to tailor decision strategies to restrict or block particular usage patterns.
Prevent fake accounts, promotion abuse, and content manipulation without impacting good users.
Prevent fake accounts, promotion abuse, and content manipulation without impacting good users.
Modern abuse comes in many forms, including the creation of fake accounts, account sharing, promotional fraud, spam, and data scraping. Legacy fraud tools only see part of the story and often react too late, after damage is already done.
Darwinium provides a smarter, more adaptive approach. We analyze every digital interaction in real time, across the entire customer journey, to stop abuse before it impacts your brand, bottom line, or user experience.
Darwinium provides visibility of traffic behavior across complete digital journeys. Detect anomalies in new and existing API behavior against a broader business context. Uncover patterns of user behavior indicative of content and bonus abuse such as multiple account creations coming from the same user, cookie wiping and use of private browsing, and use of proxies and emulators.
How Darwinium Prevents Abuse
A unified cyberfraud prevention platform combining breadth of data across the customer journey, with depth of data, and adaptive risk decision, for real-time abuse prevention.
The Darwinium Difference
Darwinium delivers advanced abuse prevention by analyzing behavior, context, and intent in real-time to stop API abuse, business logic abuse, and bonus abuse. By profiling every interaction at the edge, it detects subtle automation, repeat offenders, and misuse of promotional offers before they impact your business.
Edge-Native, Journey-Wide Intelligence
Darwinium deploys abuse prevention at the edge to monitor every click, scroll, and action across your site or app, detecting unwanted behaviors proactively. Threats such as bonus abuse, return abuse, API and business logic abuse occur throughout the customer journey, not just at checkout, making journey visibility essential, not nice-to-have.
Behavioral Anomaly Detection
Darwinium goes beyond static device and identity data to analyze how users behave over time, comparing activity to historical patterns of trusted and risky behavior. This helps surface hidden abuse patterns, such as bonus misuse, business logic exploitation, and return manipulation, which can only be detected through subtle behavioral changes.
Persistent Identity Across Buyer & Seller Personas
Fraudsters often switch roles, posing as sellers to defraud buyers, or vice versa. Darwinium persistently links behaviors, devices, and sessions to reveal when a single actor is operating under multiple identities, even when they switch browsers, IPs, or clear cookies.
Download Whitepaper