Page 156 - Cyber Defense eMagazine Special RSA Conference Annual Edition for 2022
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aiXDR Brief


            By Randy Blasik, V.P. of Technology Solutions, Seceon Inc.






























            Introduction.

            aiXDR with its, novel approach focusing on detecting and stopping threats in all vectors automatically
            before data is compromised, has redefined the role of today’s Cyber Security Analysts. The solution with
            Managed  Service  Security  Provider  (MSSP)  “multi-tier  multi-tenant”  capabilities  has  finally  made  it
            operationally profitable for MSSPs to offer, customers of any size and ability, advanced threat detection
            and  remediation  services.  Solving  today’s  most  vexing  problem:  How  to  make  threat  analysis  and
            remediation a task that takes minutes to perform when an incident arises with minimally trained staff.
            Seceon’s  aiXDR  provides  visibility,  detection,  prioritization,  and  response  capability  for  unparalleled
            security and operational efficiency and accuracy.  It helps organizations overcome: (1) The pitfalls of
            siloed EDR solutions,  (2) difficult integration with  other tools (SIEM, IDS, DLP, etc.), (3) lack of deep
            security analytics to automate core processes, (4) failure to integrate data from key sources (such as,
            DNS logs, NetFlows, Vulnerability Assessment Scanners, Active Directory, etc.), and (5) partial threat
            coverage with limited visibility into the detection  and  response.  Seceon is an All-In-One experience that
            is organically and seamlessly fused together.



            Not all XDR solutions are equal.

            The XDR market is full of vendors offering their XDR solutions. However not all XDR solutions offer the
            same  protection.  These  solutions  do  not  provide  the  full  visibility  required  in  today’s  more  complex
            networks. They may lack for instance, netflow information or adaptive self-Learning models to auto tune
            noise and sometimes restrict the number of feeds that they can ingest.





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