Safeguard financial transactions with AI-driven real-time ATO detection, reducing fraud and enhancing customer trust effortlessly.
Enhance security and customer trust by tackling credential-stuffing, outdated authentication, customer friction, and siloed risk signals effectively.
Financial institutions face rampant bot-driven credential stuffing that bypasses basic MFA, drains accounts in minutes, and erodes customer trust.
Static passwords and knowledge-based questions can’t detect subtle behavioral shifts, allowing fraudsters to replay stolen data without raising alerts.
Overly aggressive rules lock out legitimate users, drive call-center traffic, and increase abandonment during high-value sessions.
Identity, device, and transaction data sit in separate systems, limiting visibility and slowing coordinated response to emerging ATO patterns.
Enhance your security with FraudNet: detect threats, reduce fraud, and ensure seamless customer experiences.

Prevent account takeovers before they happen with AI-Native real-time detection. Our system adapts instantly to new threat patterns, ensuring your funds and data stay secure within your ecosystem. Experience seamless protection with FraudNet.

Ensure seamless access for your legitimate customers while blocking fraudsters. FraudNet's precise models minimize false positives, enhancing user experience and reducing disruptions. Discover how we protect your business and boost customer satisfaction.
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
Approve more valid transactions confidently.
Experience double-digit reductions in fraud-related chargebacks
Save time and resources while securing your revenue.
With an integrated platform designed for precision, agility, and impactful results, enabling your team to make smarter decisions, improve operational efficiency, and fuel your business growth.
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
Account takeover prevention is the process of implementing security measures to protect user accounts from unauthorized access. This involves using techniques such as multi-factor authentication, anomaly detection, and monitoring login behaviors to identify and prevent malicious activities. Effective prevention helps safeguard sensitive information and maintain user trust.
Multi-factor authentication (MFA) enhances security by requiring users to provide two or more verification factors to access their accounts. This could include something they know (password), something they have (security token), or something they are (fingerprint). MFA makes it significantly harder for attackers to gain unauthorized access, even if they acquire the user's password.
User education is crucial in preventing account takeovers as it empowers users to recognize and avoid phishing attempts, understand the importance of strong, unique passwords, and be aware of suspicious activities. Educated users are more likely to follow security best practices, reducing the risk of their accounts being compromised.
Anomaly detection systems monitor user behavior and flag activities that deviate from the norm, such as unusual login locations or times. By identifying and alerting on these anomalies, such systems can quickly detect potential account takeovers and allow for immediate action, such as account lockdown or additional verification, to prevent unauthorized access.
Regularly updating security protocols is crucial because it ensures protection against the latest threats and vulnerabilities. Cyber attackers continuously develop new methods to bypass defenses, so staying updated prevents potential exploits. This includes patching software, updating authentication methods, and refining detection algorithms to keep accounts secure.
Common signs of an account takeover attempt include unexpected password change notifications, unfamiliar login locations, unauthorized transactions, and strange account activity, such as messages sent without your knowledge. Recognizing these signs early can help users take prompt action to secure their accounts and prevent further unauthorized access.