Knowledge Automation Security: The Next Step in Network Detection and Response
Knowledge Automation Security(KAS) presents the evolution of Network Detection and Response. addressing the growing complexity and velocity of modern cyber threats. Traditional systems, use anomaly detection and known rule base detections. Nevertheless, scalability, real time analysis, and automation lay in the core skills missing to leverage the future of incident response at scale.
The core of the solution lies in knowledge harvesting, which needs to excel in the ability to extract, correlate, and operationalize data from diverse sources in real time.
A KAS solution requires an event-driven architecture ready for a multinode and scalable deployment, compatible with a multi tenant deployment.
Information at scale, but also at a package level allowing to detect threats not only by signatures or heuristics but also following an immune strategy through anomaly AI detection.
The second leg of a KAS system is the inclusion of an agentic architecture which embed autonomous decision making and automation, to move beyond reactive security models. Collaboration for leveraging, reason over events, and execute responses in real time, forming a distributed and intelligent security strategy, putting business knowledge at the core of the security strategy.
Borja de la Maza
General Manager at Eneo tecnologia, the creators of Redborder. Borja de la Maza accomplish his engineering studies at La escuela de ingenieros de Bilbao, y l´Ensam en Bordeaux. Passionated technologist, is been devoted to cybersecurity for the last 10years, driving network security to new endeavors.