The Data Scientist Unicorn

An essential part of any IT Security program is to hunt for unusual patterns in sensor (or log) data to uncover attacks. Aside of tools that gather and collate this data (for example SIEM solutions like EventTracker), a smart pair of eyeballs is needed to sift through the data warehouse. In modern parlance, this person is called a data scientist, one who extracts knowledge from data. This requires a deep understanding of the available data and a feel for pattern recognition and visualization.

As Michael Schrage notes in the HBR Blog network “…the opportunities for data-science-enabled efficiencies and innovation are too important to defer or deny. Big organizations can afford — or think they can afford — to throw money at the problem by hiring laid-off Wall Street quants or hiring big-budget analytics boutiques. More frugal and prudent enterprises seem to be taking alternate approaches.”

Starting up a “center of excellence” or addressing a “grand challenge”  is not practical for most organizations. Instead, how about an effort to deliver tangible and data-driven benefits in a short time frame?

Interestingly, Schrage notes “Without exception, every team I ran across or worked with hired outside expertise. They knew when a technical challenge and/or statistical technique was beyond the capability…the relationship was less of an RFP box-ticking exercise than a shared space…”

What does any of this have to do with SIEM you ask?

Well for the typical Small/Medium Enterprise [SME] this is a familiar dilemma. Data, data everywhere and not a drop (of intelligence) to drink. Either the “data scientist” is not on the employee roster or does not have time available. How then do you square this circle? Look for outside expertise, as Schrage notes.

SIEM Simplified service

SME’s looking for expertise to leverage the existing mountain of security data within their enterprise can leverage our SIEM Simplified service.

Unicorns don’t exist but that doesn’t mean that do-nothing is a valid option.