BehavioSec
Multi-factor authentication (MFA) software
Biometric authentication software
Risk-based authentication software
Identity management software
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- Information technology and software
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What is BehavioSec
BehavioSec is a behavioral biometrics platform that verifies users based on how they interact with web and mobile applications (for example, typing rhythm and mouse or touch dynamics). It is commonly used by digital banking, fintech, and e-commerce teams to reduce account takeover, credential stuffing, and fraudulent transactions by adding continuous, passive authentication signals. The product typically integrates via SDKs/APIs and feeds risk signals into authentication and fraud decisioning flows rather than replacing an identity provider. It is positioned as a risk-based layer that can step up authentication when behavior deviates from a user’s established profile.
Passive, continuous authentication signal
BehavioSec collects behavioral signals during normal user interaction, which can reduce reliance on explicit challenges in some flows. This supports continuous assessment beyond the initial login, including during high-risk actions such as profile changes or payments. It can complement existing authentication methods by providing an additional factor without requiring new hardware. This approach is useful where user experience and conversion are sensitive to friction.
Risk scoring for step-up flows
The platform is designed to output risk indicators that can trigger step-up authentication when anomalies appear. This aligns with risk-based authentication patterns used in customer-facing applications where not every session warrants the same controls. It can be used to tune policies for different channels (web vs. mobile) and transaction types. In practice, it often acts as an input to broader fraud and identity decisioning rather than a standalone control.
API/SDK integration model
BehavioSec is typically deployed by embedding SDKs in mobile apps and adding scripts or integrations for web, enabling collection of interaction telemetry. This makes it suitable for organizations that want to add behavioral biometrics without replacing their existing IAM stack. Integration via APIs supports routing signals to authentication, fraud, and case-management systems. The model fits teams that manage custom digital experiences and can instrument their applications.
Not a full IAM suite
BehavioSec focuses on behavioral biometrics and risk signals rather than providing core identity lifecycle management, directory services, or a complete CIAM/IdP feature set. Organizations usually still need separate systems for user provisioning, SSO, and policy administration. As a result, it is commonly an additive layer in an identity architecture. Buyers expecting an end-to-end identity platform may find scope gaps.
Integration and tuning effort
Effective use typically requires instrumentation across web and mobile channels and ongoing tuning of thresholds and policies. Performance depends on how well the application is integrated and how risk decisions are operationalized (for example, when to step up or block). Teams may need analytics and fraud/identity expertise to interpret signals and manage false positives. Rollouts can take longer in complex multi-app environments.
Coverage varies by user behavior
Behavioral biometrics can be less reliable when users have limited interaction data, frequently change devices, or use accessibility tools that alter interaction patterns. Shared devices, remote desktop usage, and automated testing tools can also complicate signal quality. These scenarios may require fallback authentication methods and careful exception handling. The product therefore works best as part of a layered control strategy rather than the only authenticator.
Seller details
BehavioSec Inc.
San Francisco, California, United States
2008
Private
https://www.behaviosec.com/
https://x.com/behaviosec
https://www.linkedin.com/company/behaviosec
