The trust platform for the agentic web

Securely compare user credentials against Google’s comprehensive database of billions of leaked records from third-party breaches. If a match is found during a login attempt, allowing you to automatically warn the user or require a password change to prevent successful credential-stuffing attacks. This proactive defense mitigates the risk of account takeovers even when a user's password has been compromised elsewhere on the web.

Identify and block fraudulent transactions, card testing, and chargebacks by merging Google-scale fraud intelligence with our expertise in payment risk and modeling. Choose between a front-end JavaScript integration or our new API-only mode, which uses direct server-to-server calls to protect your checkout flow at the moment of purchase with zero added user friction.

Safeguard your mobile authentication and sign-up flows from high-velocity "SMS pumping" attacks. Utilizing unique Google-scale fraud intelligence, Fraud Defense identifies suspicious phone numbers and prevents automated bots from triggering costly fraudulent messages, protecting your financial security without impacting legitimate users.

Bridge the gap between passive risk scoring and active verification with deterministic Policy-based challenges. By defining action-specific score thresholds, security teams can automatically trigger challenges only when an interaction falls below a chosen trustworthiness level. This approach reduces false positives by giving borderline users a way to prove their humanity while forcing sophisticated bots to encounter AI-resistant hurdles, ensuring growth remains unhindered by automated abuse.

Detect groups of accounts exhibiting suspicious or related behavior that suggests a coordinated attack or synthetic identity network. Fraud Defense provides the visibility needed to take proactive measures, such as disabling related accounts or restricting specific actions, before a fraud ring can scale its operations. This capability is essential for preventing mass sign-ups and protecting your promotional budgets from automated abuse.

Transition from individual log analysis to high-level campaign visualization. Our new Attack Investigation view aggregates millions of data points into correlated "Attacks," allowing analysts to visualize the footprint of professional fraud rings across the entire journey. Deep-dive into specific incidents with forensic tools designed to help you deconstruct and shut down coordinated campaigns with precision.

Identify sudden traffic spikes and unusual behavior patterns as they happen with automated anomaly detection. These real-time alerts help your security teams respond instantly to zero-day attacks or novel fraud tactics emerging on the agentic web. By establishing a baseline of normal behavior for your specific site, we can highlight deviations that indicate a new or sophisticated attack is underway.

Secure your sensitive data with advanced client-side storage and anonymization techniques that prioritize user privacy. Effective April 2, 2026, our transition to a Data Processor model gives your organization direct control over user data and simplifies compliance with global regulations. This privacy-by-design approach ensures that your security measures never compromise the trust of your customers.

Combine Fraud Defense with Cloud Armor and Apigee to create a multi-layered Web App and API Protection (WAAP) architecture. This comprehensive solution secures your perimeter against DDoS attacks, protects your critical APIs from exploitation, and shields your user accounts from automated fraud. Managed through a single pane of glass, this unified defense simplifies security operations while providing superior protection for complex, cloud-native environments.

Integrate natively with your existing WAF provider, including Google Cloud Armor, Fastly, and Cloudflare, to create a robust defensive perimeter. This connection allows you to detect and block abusive traffic at the network edge before it ever reaches your application’s infrastructure. By offloading the challenge of bot mitigation to the edge, you save on compute costs and improve the performance of your web applications for legitimate traffic.