Attacks Faster and Discovery Slower Relative to Last Year
Posted: May 20, 2011 at 6:34 am | by Joe Gottlieb
In reading the Verizon Business 2011 DBIR, one point stands out for me: relative to last year’s report, attacks are happening faster (point of entry to compromise) and attack recognition is slower (compromise to discovery).

2011 Verizon Business Data Breach Investigations Report
This is yet another reminder that proactive log analysis is an under-utilized weapon in the fight against data breaches. Real-time consoles are great and represent an important part of any effective SIEM solution. But all of the gray area in the chart above denotes activity that is happening beyond the focus of most real-time consoles. Meaning, there are plenty of attacks that take days, weeks or years to compromise our defenses and that means a broader and deeper log management and review process can help us prevent, contain and/or more quickly discover any given breach.
Zooming in on attack timing from the 2011 report, we see that 44% of the attacks took days from point of entry to compromise. In these cases, daily log data exception filtering and alerts would improve prevention, containment and discovery effectiveness. 9% of the attacks took weeks or months; in these cases, even weekly exception filtering and report reviews would improve prevention, containment and discovery effectiveness.
Zooming in on discovery timing from the 2011 report, we see that only 4% of the breaches were discovered in minutes or hours while 96% took days, weeks, months or years. Zooming in further, 38% took weeks and 36% took years to discover! Clearly, even weekly log analysis could have helped these companies to discover their breach and either contain it or at least begin the damage control process in a timely fashion.
We all know that enterprise-wide log collection, storage, filtering and analysis can be challenging. But the evidence continues to suggest that proactive efforts in this area can significantly reduce IT security risks. In a domain that requires us to depend upon many intangible technologies (best effort algorithms) and skills (craft), proactive log analysis represents a very tangible effort/reward proposition.
