IBM® Security zSecure™ Adapters for QRadar® SIEM formats and sends enriched mainframe System Management Facility (SMF) audit records to IBM Security QRadar SIEM. SMF audit records can then be included in enterprise-wide integrated security information and event management (SIEM), log management, anomaly detection, incident forensics, configuration checking and vulnerability and risk management. As a result, IBM Security zSecure Adapters for QRadar SIEM helps you extend protection against advanced threats and integrate mainframe security with enterprise-wide security intelligence.

IBM Security zSecure Adapters for QRadar SIEM:

  • Collects and formats information from over 40 different IBM System z® SMF record types
  • Adds enriched descriptive audit information about the user and the resource to help build essential audit reports

Collects and formats information from over 40 different IBM System z SMF record types

  • SMF 30 and 80 records for IBM Resource Access Control Facility (RACF®) related events, such as logons, RACF commands, successful and failed access to resources and data sets
  • SMF 230 from CA-ACF2 and SMF 80 as written by Top Secret
  • SMF 102 generated by IBM DB2® through the AUDIT options specified for the subsystem
  • SMF 110 subtype 1 generated by IBM CICS® to allow for logging of CICS transactions
  • Additional SMF record types generated by IBM z/OS® and its sub-systems, such as SMF 14, 15, 18 and 19 for data set access, SMF 42 for PDS member updates and deletes, SMF 92 for UNIX file activity, SMF 118 or 119 for FTP, Telnet and other TCP/IP activity and many others

Adds enriched descriptive audit information about the user and the resource

  • All RACF commands issued by users with the system special attribute and all logons by users with the system operations attribute
  • All logons by users with super-user privilege and all updates to APF data sets
  • All members updated in PARMLIB data sets
  • Security events that are not logged by RACF to help the security officer make informed decisions based on the enriched data
  • Support for more frequent collection than once a day