Digital Trust
The Invisible Forcefield for Every Identity. Every Journey. Everywhere.
Attackers outpaced point solutions years ago. Now they manipulate intent. Digital Trust adds continuous, privacy-first behavioral biometrics, device intelligence, and malware detection to distinguish human, bot, and agentic activity, and to understand not just who is present, but what they intend to do.
Stop Treating Your Best Customers Like Strangers
Deliver secure, seamless digital banking by protecting every identity and embedding trust in every journey and decision.
Trusted by global financial leaders
Digital Trust Adds The Predictable Layer of Assurance
Maximize Efficiency and Block Fraud and Improve Customer Experience with Feedzai
Feedzai recognized as a Top Contender in the Datos Insights Matrix for Behavioral Biometrics and Device Fingerprinting
“It’s a critical part of how we protect our customers and maintain our leadership in digital banking.”
— Lasha Mazanashvili, Head of Operational Risk Management, TBC Bank
One enriched intelligence stack. No model sprawl
Device Intelligence (fingerprint, usage across sessions, OS and browser, device metadata.) Behavioral Biometrics — interaction patterns, typing cadence, mouse movements, gyroscopic data. Network and Threat Intelligence — malware, emulators, jailbreak, RAT, JavaScript tampering, SDK integrity, IP address.Agentic AI Readiness — distinguish AI agents from humans with behavioral baselines built for automated traffic.
Active Defense
Automatically disrupt active attacks in real time with controlled countermeasures, including terminating high-risk sessions before harm occurs.
Privacy-First Collective Intelligence
Leverage the power of the collective network with models trained on historical fraud. Spot attack patterns seen elsewhere across the industry, without ever exposing any data.
Achieve Compliance Without Compromise
Abide by privacy regulations with Feedzai’s privacy-by-design methodology. Digital Trust does not collect or store any personally identifiable information (PII).
Frequently Asked Questions
How does behavioral biometrics to detect account takeover (ATO) attempts?
Behavioral biometrics captures how a user typically interacts with input devices (e.g., typing speed, rhythm, mouse movements, or touch gestures), creating a unique behavioral profile. Deviations from established patterns can indicate a potential Account Takeover (ATO) risk, signaling that the user may not be legitimate.
What types of malware or manipulation does Digital Trust protect against?
DT detects anomalies across Android applications and operating systems, includijng credential stealers, malware, and potentially unwanted programs. The technology is fit for modern onboarding experiences supporting multiple risk assessments within the same onboarding process and allowing an aggregated view of risk across omni-channel and multi-step journeys.
Does Feedzai’s Digital Trust compromise user privacy?
DT stops online banking fraud while protecting privacy. DT collects no personal data by default, focusing on fraud patterns. Even with IP or behavioral data, individuals remain unidentifiable. All collected device, network, and behavior data is anonymized, obfuscated, and encrypted, used exclusively for fraud prevention.
How does Feedzai maintain protection throughout a user session, not just at login?
Digital Trust (DT) continuously monitors sessions by processing incoming data to consolidate, analyze, and enhance information. This dynamic “continuous risk monitoring” allows for evolving risk assessments and alerts as the session progresses, detecting fraudulent activities and anomalies post-login by monitoring user behavior and device/network context.
What impact can Digital Trust have on fraud detection and false positives?
Ongoing research into fraud and identity signals helps detect new and evolving fraud methods. It provides insights and risk indicators aligned with known fraud patterns. Customizable risk strategies, including bespoke rules and adaptable risk scores, balance fraud capture with operational constraints, ensuring effective false positive management.
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