The largest database of malicious API infrastructure is meticulously curated to stop attackers in their tracks based on their IP address or organization.
Known toolkits in use are dissected, analyzed and translated into pre-defined, high efficacy policies to protect your APIs.
Stolen credential listings are incorporated into the predefined policies to improve ATO and fake account prevention efficacy.
Ongoing analysis of actions taken to evade detection are incorporated into existing or new ML models to maximize efficacy.
On-going investigative efforts into undiscovered API vulnerabilities such as LoNg4j.
Research is used to continually enhance, or create new ML-based analysis techniques to help you stay ahead of attackers.
Hundreds of predefined, customizable policies help ensure that your APIs are protected quickly and consistently.
Findings are used to enhance policies which are then pushed dynamically to all customers to help maximize API protection.
An optional managed service that provides continuous threat monitoring and remediation to proactively detect and respond to advanced attacks targeting your APIs.
July 31,2023
The Australian Signals Directorate’s Australian Cyber Security Centre (ACSC), U.S. Cybersecurity and Infrastructure Security Agency (CISA), and U.S. National Security...
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May 16,2023
API threat research by the Cequence CQ Prime Threat Research team during the second half of 2022 confirms that API...
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January 27,2023
Long after the press news and panic surrounding the discovery of Log4j, the Log4 Shell exploit and the supply-chain variant...
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