In this blog post, I describe sentiment analysis and discuss its use in the area of insider threat. Sentiment analysis, often referred to as opinion mining, refers to the application of natural language processing (NLP), computational linguistics, and text analytics to identify and extract subjective information in source materials (Wikipedia).
In my previous blog post, I began to update sabotage statistics provided in 2010. In this second post, I explore how organizations can begin to protect themselves from IT sabotage by learning to identify and appropriately respond to its precursors. The CERT Insider Threat Incident Corpus contains 153 incidents of sabotage.
IT sabotage has been an area of increasing interest and concern across government, research, industry, and the public sector. IT sabotage is defined as incidents wherein malicious insiders intentionally use technical methods to disrupt or cease normal business operations of a victim organization. What makes sabotage so compelling a concern is the notion that a few lines of code can put an organization out of business.
In parts one, two, and three of this series, the roles held by malicious insiders and their estimated salary were reviewed. In this final post, we see if there is a relationship between an insider's salary and the financial impact of related incidents. Comparing the estimated salary of malicious insiders with impacts self-reported by victim organizations in publicly available sources (i.e., in court filings) may offer analytical insight for quantifying risk.
In parts one and two of this series, I analyzed the gender and organizational roles of malicious insiders. In this third part of the series, I analyze the CERT Insider Threat Incident Corpus for insights into the salaries of the insiders who committed the incidents.
In the first part of this series, we analyzed the gender of malicious insiders as it relates to the categories of insider threat incidents. In this post, understanding the roles that insiders play within their victim organizations further contextualizes the insider threat landscape.
This is the second part of a two-part series about considering low-cost tools for starting your insider threat program. In the first part of this series, I discussed the five categories of tools available to insider threat programs to use, as needed, as part of their operations. In this part, I provide examples of low-cost tools that are available in this space.
This is the first part of a two-part series that explores open source, free, or low-cost solutions to help you get the technical portion of your insider threat program started. As defined by opensource.com, open source software is "software with source code that anyone can inspect, modify, and enhance." Free tools are available at no cost, but the source code is "closed," meaning that it cannot be examined or modified.