Spherical Defense API Security
Spherical Defense is an advanced API security solution that leverages unsupervised deep learning to autonomously protect APIs from a wide range of cyber threats. By continuously analyzing API traffic patterns, it builds a dynamic model of normal behavior, enabling the detection of anomalies and potential attacks without the need for manual configuration or predefined rules. This approach ensures robust protection against both known and emerging threats, including zero-day attacks, while minimizing false positives and maintaining optimal performance.
Key Features and Functionality:
- Rapid Deployment: Spherical Defense can be deployed on-premise or in a private cloud environment, with a simple 1-click installation process on AWS. Security models begin detecting malicious behavior within approximately four hours.
- Unattended Learning: The system operates autonomously, continuously learning and adapting to new API traffic patterns without requiring human intervention. This ensures that the security model evolves alongside application changes and user behavior.
- Comprehensive Threat Detection: Spherical Defense protects against various threats, including excessive data exposure, malicious injections , improper asset management, sensitive information transmission, authorized stateful attacks, mass assignment vulnerabilities, and adversarial API fuzzing.
- Easy Integration: The solution integrates seamlessly with existing infrastructures, including API gateways and service meshes, without the need for extensive configuration. It supports inbound integrations using AWS Lambda functions and outbound integrations for event monitoring.
- Secure and Confidential: All data remains within the user's network, ensuring that sensitive information is not exposed to third parties. The system operates without requiring external access to data, maintaining confidentiality and compliance with data protection regulations.
Primary Value and Problem Solved:
Spherical Defense addresses the critical need for robust API security in an era where APIs constitute a significant portion of web traffic and are frequent targets for cyberattacks. Traditional security measures often rely on static rules and signatures, which can be ineffective against sophisticated and evolving threats. By employing unsupervised deep learning, Spherical Defense provides a dynamic and adaptive security solution that detects and mitigates both known and unknown threats in real-time. This not only enhances the security posture of organizations but also reduces the operational burden associated with manual configuration and the management of false positives, allowing security teams to focus on strategic initiatives.
