Compare Imperva API Security vs. Cequence Security

Cequence Security

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What is Imperva API Security?

Imperva API Security offers robust protection for your APIs by employing an automated positive security model that detects vulnerabilities in applications to prevent potential exploitation. Organizations typically manage a minimum of 300 APIs, and Imperva fortifies your security infrastructure by automatically generating a positive security model for each uploaded API swagger file. The fast-paced growth of APIs frequently outstrips the capacity of security teams to evaluate and authorize them prior to their launch. With Imperva’s API Security solution, your teams can adopt a proactive approach in DevOps through the power of automation. This technology provides your strategy with pre-configured security rules designed specifically for your APIs, ensuring that you meet the OWASP API standards while gaining enhanced visibility into all security incidents associated with each API endpoint. By effortlessly uploading the OpenAPI specification file from your DevOps team, Imperva can effectively produce a positive security model, facilitating more efficient security management. This functionality not only streamlines the process of securing APIs but also allows organizations to devote more resources to innovation, all while ensuring strong protective measures remain in place. Ultimately, Imperva’s solution empowers teams to navigate the complexities of API security with confidence.

What is Cequence Security?

Enhance the security of your APIs by conducting thorough analyses and safeguarding them through passive, inline, or API-driven integration with various network elements, including API gateways, proxies, or CDNs. Utilizing predefined policies that have been meticulously adjusted according to prevalent threat patterns, which have effectively safeguarded billions of API transactions daily, ensures unparalleled defense. A robust API-centric architecture paired with a comprehensive user interface facilitates seamless integration with threat intelligence feeds and additional security measures. Moreover, a patented machine learning-based analysis method mitigates the drawbacks of JavaScript integration, such as slow page loading times, prolonged development cycles, and the necessity for mobile app updates. This ML-driven approach creates a distinctive Behavioral Footprint that helps in recognizing harmful intentions while consistently monitoring attackers as they adapt their strategies, reinforcing the overall security framework. With these advanced technologies at your disposal, organizations can significantly bolster their API security posture against evolving threats.