Fideo Intelligence is a leading identity verification and fraud prevention platform that leverages AI-powered, real-time data to help businesses detect and mitigate identity fraud. It offers two main products: Fideo Verify, which performs comprehensive identity verification checks, and Fideo Signals, which provides enriched identity risk data for fraud modeling and decisioning.
The two core products are:
Fideo Verify uses AI and machine learning to unify fragmented identity verification checks—such as synthetic identity detection, email risk analysis, phone checks, digital footprint comparison, and more—into a single, streamlined call. It analyzes real-time behavioral data and continuously updates to produce an accurate composite risk score in nanoseconds.
Fideo Signals provides real-time identity risk signals that can be integrated into fraud detection models and workflows. It offers enriched identity data from the iFIN Network to enhance fraud prevention and reduce false positives.
The Identity Fraud Intelligence (iFIN) Network is a large entity graph aggregating data from thousands of partners and customers. It continuously learns from trillions of identity linkages and behaviors to flag suspicious activity and detect fraudulent patterns before they impact your business.
Financial institutions, fintechs, credit unions, banks, and other organizations that face identity fraud risks—especially during high-risk moments like account opening, loan origination, or high-value transactions—benefit from Fideo’s products.
You can visit the Fideo website to request a demo or sign up for a free trial of Fideo Verify. Additionally, you can connect with the team for a free API key and integration support.
Yes! Fideo offers a free trial for Verify, allowing you to test its capabilities in your environment and measure impact before purchase.
Fideo Verify and Signals are designed for seamless integration. Verify uses a single streamlined API call per session with simplified pricing, requiring minimal technical effort. Signals can be integrated into your existing fraud models and decisioning workflows via API.
Fideo Verify charges on a per-session basis rather than per call or per check. This means you pay once per user session for unlimited verification calls, simplifying budgeting and reducing costs.
By identifying high-risk users early and providing a ranked risk score, Fideo helps teams quickly escalate or reject risky cases before incurring expensive KYC or regulatory verification costs, ultimately lowering overall compliance expenses.
Fideo Verify provides eight categories of multi-layered checks, including:
Fideo Verify offers:
Fideo Verify delivers results within nanoseconds, enabling real-time decision making without slowing down user experiences.
Fideo Signals accepts identity inputs (like name, address, email, phone, IP) and returns enriched identity risk signals and attributes that help enhance your fraud detection models.
By feeding dynamic, continuously updated identity signals into your fraud models, Fideo Signals boosts accuracy and helps detect more fraudulent activities earlier.
Fideo processes over 18 billion new identity inputs monthly with continuous 24/7 updates across the iFIN Network.
It combines multiple verification layers with AI-driven machine learning models that analyze anomalies and adapt to new threats, creating a single composite fraud risk score.
Checks include synthetic identity, email risks, breach data, identity validation, phone risks, digital presence risks, location checks, and IP address risk assessments.
Fideo Verify doesn’t just gather static data—it dynamically links identities and learns from vast behavioral patterns instantly to provide actionable fraud risk insights in real time.
By detecting risk early and charging per user session (not per check), Fideo reduces redundant calls and costly downstream KYC verification expenses.
Per session pricing means you pay one flat fee per user interaction/session regardless of how many verification calls or checks are performed during that session.
These detect fake or fabricated profiles by identifying mismatched personal details, unusual device usage, and suspicious IP linkages.
Email checks verify deliverability, domain risk, age of email, whether it’s disposable, and usage history to assess legitimacy.
It reviews vast known breached datasets to detect if an identity has been exposed, how recent the exposure is, and potential use in fraud attacks.
Phone checks flag risks like SIM swaps, number porting, and network changes indicating potential fraud.
It compares identities against social networks, mobile device data, and general internet behavior for consistency and anomaly detection.
It compares known user locations with submitted locations to detect inconsistencies in travel patterns or residence.
Risks related to IP location, proxy use, VPNs, and suspicious network behaviors are identified.
The top fraud types include identity theft, synthetic identity fraud, and account takeover (ATO).
Over 80% of new account fraud in the U.S. is attributed to synthetic identity fraud. (Source: Thomson Reuters)
Losses are estimated at $12.3 billion in 2023 and projected to reach $40 billion by 2027. (Source: The Wall Street Journal)
They help fintechs stop fraud early, reduce back-office burdens, improve customer experience, and avoid costly losses.
Both remain among the top three fraud types in 2024, with account takeover causing $13 billion in yearly losses. (Source: AARP)
The average loss is approximately $15,000 per incident. (Source: Global Compliance Institute)
They often rely on outdated static data, lack real-time behavioral intelligence, and miss emerging fraud tactics like synthetic identities.
Inputs include personal identifiers such as name, address, email, phone number, and IP address.
It returns enriched identity risk signals, risk scores, and fraud attributes to enhance decisioning.
By aggregating multiple verification checks into one single, streamlined API call and leveraging the iFIN Network’s extensive data.
AI models analyze trillions of behaviors and relationships to detect anomalies and adapt quickly to evolving threats.
It ensures the platform always uses the latest identity and fraud intelligence to make the most accurate risk assessments.
It offers APIs designed for easy integration requiring minimal technical resources, fitting seamlessly into workflows.
Companies have identified up to 47% more high-risk customers and reduced false positives significantly.
By combining multiple data sources and layered checks, it improves accuracy and reduces unnecessary customer friction.
Fideo detects up to 50% more risk while reducing costs by 50%, as proven by customer case studies.
The iFIN Network continuously learns from new inputs and behaviors, identifying suspicious links and patterns early.
