Cequence ASP delivers these values by leveraging three powerful components of the platform – CQAI, CQ Manage, and CQ Connect. When combined with the security service modules that leverage the capabilities of the platform, customers can benefit from a stronger application security posture, as well as improved productivity and efficiency of their security operations team.
CQAI – Intelligence
This AI-powered analytics engine applies advanced machine learning and behavioral analysis to examine metadata continuously collected from client, application, and network transactions flowing across the organization. Its multi-dimensional detection process provides a more accurate, intent-based, behavioral view of malicious bot activity targeting critical web, mobile, and API applications.
CQ Manage – Insight
This tool provides security teams with visibility into all applications deployed across the network, as well as actionable insights into malicious bot activity processed by CQAI. This includes detailed information on source, target, intent, risk, and more, empowering security teams with actionable information to stop bad actors.
CQ Connect – Integration
The open APIs of the Cequence platform enables it to share critical information with WAFs, SIEMs, anti-fraud systems, and other devices within the customer’s security ecosystem. This tool can be used to create custom connectors with those products, thereby improving internal workflows and processes which can help improve team productivity.
Multidimensional AI-Based Threat Detection
CQAI’s unique blend of AI and machine learning enables threat detection that accurately identifies more attacks, is more reliable, and has no impact on performance. CQAI begins by analyzing every interaction from multiple perspectives including client, network, and application traits and behaviors. This gives the engine a much more complete view of behavior than what is possible with technologies that rely on client context alone. For example, while client-side analysis can reveal unusual header anomalies, an application-side analysis can see the actual attack behavior of a denial of inventory attack where a user repeatedly puts items in his basket without purchasing. Blending these perspectives makes CQAI much more insightful and reliable.