Identify novel patterns of fraud by intuitively analyzing data at massive scale
Palantir Anti-Fraud allows human experts to look across their entire universe of data to find novel patterns of suspicious activity. Investigators at commercial enterprises have the contextual knowledge to know where to look for unique strains of fraud, such as money laundering, check kiting, or complex, synthetic identity fraud across lines of business. Tax authorities have the experience and domain expertise to develop hypotheses about new forms of tax fraud, illegal transfer pricing, and other forms of tax evasion. Palantir Anti-Fraud’s extensible analytical applications enable these domain experts to interact with the data in ways explicitly designed for fighting fraud. With transactions, weblogs, network traffic, and other dense, low-signal, disparate data from across the enterprise fused into a coherent object model, analysts can ask questions in the language of entities, events, and relationships, not data primitives.