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What is IPDetective?

IPDetective is an API tailored for the rapid detection of both bot and non-human IP addresses, allowing users to ascertain the origin of an IP, whether it comes from a data center, VPN, or proxy. To start utilizing the API, users can easily sign up to obtain a complimentary API key for access. The service keeps track of over 1,000 ASNs and recognizes more than 250 million IP addresses that fall into the non-human user category, sourced from more than 100 different origins, including data centers, VPNs, proxies, and botnets. Users can utilize the free tier, which permits up to 1,000 requests each day, while commercial options are offered for those in need of increased capacity. With a focus on speed, IPDetective guarantees that IP queries are processed quickly, ensuring that application performance remains unaffected by the bot detection process. The API is crafted to be intuitive, allowing seamless bot detection in any application or programming language. Originally designed as an internal resource for various projects, IPDetective is now available to the public, with the team dedicated to continuously updating the database to offer the most efficient IP bot detection solutions. As the digital world continues to change, IPDetective is committed to improving its offerings, ensuring that users remain equipped with cutting-edge anti-bot technologies and solutions. This ongoing development reflects the team's dedication to staying ahead of emerging threats in the online landscape.

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.