Device Intelligence: Your SaaS ATO Prevention Firewall

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Account Takeover attacks pose growing risks to SaaS businesses by enabling attackers using stolen credentials, phishing, or malware to access accounts, steal data, commit fraud, and damage customer trust and compliance standing. A proactive device intelligence firewall can improve defenses by combining device fingerprinting, IP reputation and proxy detection, behavioral biometrics, geolocation, historical user context, and real-time risk scoring to distinguish normal activity from suspicious logins or transactions. These signals can support adaptive authentication, triggering MFA, additional verification, manual review, or blocking for high-risk events while maintaining a smoother experience for trusted users. Protection should extend beyond login to account creation, password resets, and sensitive actions such as payment changes or data exports. Didit presents its modular AI-native identity platform as a toolset for this approach, offering device and IP analysis, phone and email verification, identity document checks, liveness detection, facial matching and duplicate detection, blocklisting, configurable workflows, developer APIs, and a free Core KYC tier.

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