Stop ATO in 15 Minutes
Check out this short webinar on preventing ATOs that may lead to financial fraud.
Foundational, ML-based technology that uses multidimensional analysis to discover all your API and web applications, separating legitimate from malicious activity to detect bot attacks and vulnerability exploits for policy enforcement.
Automated ML-based profiling of incoming requests to validate that the application sources – the browser or mobile application are genuine. A common attack is to spoof the browser, user agent or the mobile application itself. Read the CQAI Tech Brief.
CQAI detects potential credential stuffing by matching user credentials against known data breaches. Read the CQAI Tech Brief.
Evaluation of client IP address against the millions of IP addresses that are commercially available from a range of Bulletproof Proxy vendors. Attackers will use these proxy services to mask their identity and location.
Attackers will create and monetize predefined attack configurations to simplify and monetize their attack techniques. This CQAI technique compares discovered attack characteristics with those found in commercially available toolkit configurations.
ML-based behavioral analytics to detect evasive techniques often missed by client-based JS and SDK techniques. Behavioral profiles are combined with the user, network, organization, and application sources to result in unique fingerprints that identify the particular class of traffic.
Risk scoring by analyzing behavioral profiles against more than 150 predefined and custom automation indicators. Findings can be translated into Bot Defense or App Firewall policies. Learn more in the CQAI Tech Brief.
Agentless approach provides you with the same, consistent telemetry and policy response options for your API and web application traffic, ensuring both APIs and web applications are protected.
Integration of rich automation insights with your SIEM and SOC provides your team with up-to-the minute visibility into automation indicators and behavioral insights into bot behavior, reducing investigative efforts and allowing for faster policy enforcement.