"New fraud attacks are happening with such speed and sophistication that rule-based and traditional risk scoring models cannot keep up."
Begin Investing Now in Enhanced Machine Learning Capabilities For Fraud Detection
Capture fraudsters who use breached data or social engineering to hijack accounts for brute force attacks, or for use as mule accounts. Detect ATO in real time, at the point of compromise, to minimize risk for good customers.
Expand coverage for vulnerable dormant accounts, and expose fraudsters who mimic good user behavior. Defeat auto-scripted ATO at scale, and uncover cross-account linkages to deter coordinated attacks, with solutions powered by proprietary unsupervised machine learning algorithms.
Dormant Account Vulnerabilities
Stealthy Behavior and Mimicry
Large-Scale Coordinated Attacks
Accurately assess behavior changes to ensure friction-free experiences for good customers and early capture of malicious ATO. Track anomalous behavior at the account level, while simultaneously leveraging intelligence from more than 1 trillion events analyzed in DataVisor’s Global Intelligence Network.
Low False Positives
Detect and prevent new and fast-evolving ATO attack patterns without dependence on legacy knowledge or historical labels. Draw on advanced unsupervised machine learning capabilities to view all accounts and activities holistically, and take early action to prevent downstream damage.
Phishing, Spam, and Promo Abuse
Virtual Currency Fraud
Leverage the power of unsupervised machine learning to proactively defeat fraud with speed and agility with dCube, DataVisor’s comprehensive fraud management solution.
Get detailed fraud signals in real time, and take proactive steps to defeat both known and unknown fraud with dVector, DataVisor’s managed fraud services solution.
Detect and prevent even the most sophisticated ATO attacks before damage happens. Eliminate false positives, and consistently deliver friction-free experiences to good customers.
Intelligent solutions. Informed decisions. Unrivaled results.
A leading global social commerce platform with over 250 million monthly active users was losing the battle against ATO fraud. Attackers were taking over user accounts in bulk and spamming legitimate users. The brand’s reputation was…
Part 2 of the blog series highlights what financial institutions are currently doing to prevent call center fraud and the downstream problem of ATO fraud, and what’s missing with those solutions.
Advances in defensive measures against ATO have led to a change in tactics for fraudsters- many fraudsters are now setting their sights on financial institution call centers to commit ATO fraud.
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