I of course saw first-hand a lot of mainframe -> SIEM or Splunk integrations, 
and they ran the gamut. Some were as you describe; some were quite effective. 
The worst I saw was one company that was printing an SMF report to spool, using 
a mainframe product to convert the spooled report to a PDF, and sending it to 
the SIEM, which dutifully archived it. Made the auditors happy: mission 
accomplished. On the other hand, believe me, there were customers doing truly 
amazing "production" and ad hoc analyses both of security and performance data, 
using Splunk and other tools. (Recall I have no financial or similar interest 
in BMC, Splunk, or anything similar.) Splunk is not my favorite product -- the 
company was extremely difficult to deal with and the product is expensive to 
license, but it is an AMAZING product and many customers and customer people 
absolutely LOVE it. (That of course is why they are able to charge what they 
charge.) 

I was personally on a Zoom call with a very major financial institution that 
you would recognize in a heartbeat, doing a product new-feature demo, when we 
caught an intruder in the mainframe, real time. It was a contractor who was 
authorized to be on the mainframe but who had managed to improperly elevate his 
privileges to SPECIAL. it was an amazing moment, going from routine vendor 
product demo to "what the heck is HE doing -- hey, we gotta go."

I was not aware of all of the exact details but our processing in conjunction 
with a SIEM was instrumental in uncovering a money-laundering scheme at a large 
bank in Mexico.

My main interest was the security stuff, but yes, customers are doing very 
effective analysis of RMF and similar data. You are making a mistake if you 
discount the effectiveness of industry-standard tools in analyzing mainframe 
data.

Charles

On Wed, 6 Mar 2024 15:26:47 +0000, kekronbekron <kekronbek...@protonmail.com> 
wrote:

>Exactly. I have my reservations on whether we as mainframe folks are choosing 
>this (log analytics products) or are defaulting to it because no one is 
>challenging for appropriate options from the mainframe technical side.
>For an org, there is of course the valid point of correlation that Charles 
>mentions, however, if you objectively work out costs and that, I don't think 
>it works out as cost-effective.
>
>We may see kubernetes platforms sending auth logs, syslog, and whatever else 
>to log analytics, but they don't send system metrics.
>Time-series data is a different beast altogether. However much 
>elastic/splunk/whoever else says they also do metrics, they're only secondary 
>features at best.
>There's a reason time-series databases exist, and are necessary.
>
>
>
>On Wednesday, March 6th, 2024 at 20:48, Dave Beagle 
><00000525eaef6620-dmarc-requ...@listserv.ua.edu> wrote:
>
>> We used Splunk at a former employer. Well, not really used it. An auditor 
>> “suggested” we implement it to “improve” our mainframe security. The auditor 
>> knew nothing about mainframe security. Likely read about Splunk somewhere or 
>> saw a session on it at a conference. And of course the topic of “security” 
>> is at the top of the heap among executives who wouldn’t know Top Secret from 
>> ACF2 from RACF. Especially when they hear that other companies are being 
>> hacked or blackmailed in the media nearly every day.

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