Preserve the Integrity of Marketplace Content While Building Trust with Customers
Verify the Authenticity of Listings
The integrity of marketplace listings and content is paramount to build customer trust and brand reputation. Detect patterns indicative of fraudulent or scam listings such as similar pictures or text used across multiple listings.
Identify Potential Fake Reviews
Analyze the context of review patterns to detect signs that might indicate fraudulent or incentivized content, such as text similarities, multiple reviews coming from the same devices or networks, or mass news account creations.
Identify and Block Account Takeovers
Detect and block automated credential stuffing attacks, including those that bypass rate control measures and captchas. Separate returning users from potential fraudsters even if they wipe cookies or use private browsing.
Protect the Buyer / Seller Ecosystem
Protect the integrity of the entire marketplace ecosystem, from seller onboarding, listings and content integrity, to buyer account security and payments protection. Identify behavior indicative of scams and social engineering.
Protect Buyer and Seller Trust and Safety
Marketplaces work successfully when they build and nurture a strong bond of trust between buyers and sellers, with each party being confident in the authenticity of goods and services. The payments ecosystem must be streamlined and secure, and resistent to scams and social engineering.
The Darwinium Difference
Detect Image and Text Anomalies
Darwinium has created Digital Signatures for text and image similarity matching, that can be compared in real time to previous signatures. These can identify unusual consistencies in text and images across multiple listings / accounts, even if a fraudster has attempted to make then look significantly different.
Protect User Accounts with End-to-End Security
Gather intelligence across the entire customer journey of both buyer and seller accounts to better identify networks of collusive fraud and account takeover behaviors. Decision and act on high-risk activity in real time using the Darwinium decision engine, to protect against new and evolving attacks. Customer journeys, features, rulesets and models are configurable by no-code GUIs, low-code or full code options to suit all user groups, whether technical or business-orientated.
Identify Scam and Social Engineering Behaviors
Darwinium looks beyond fixed identifiers relating to devices, identities and behavioral biometrics, and analyzes patterns of behavior to uncover user intent. This means in scenarios where fraudsters are creating scam listings, or a user is being socially engineered to respond to a scam or make a payment off platform, Darwinium can detect anomalies in user behavior (pauses, unusual page interactions, new payment patterns) that can be flagged for review.