Entries by 'David Mundie'

Unintentional Insider Threat and Social Engineering

CERT , Insider Threat , Social Engineering 2 Comments »

By David Mundie
Senior Member of the Technical Staff
CSIRT Development Team

David Mundie Social engineering involves the manipulation of individuals to get them to unwittingly perform actions that cause harm or increase the probability of causing future harm, which we call “unintentional insider threat.” This blog post highlights recent research that aims to add to the body of knowledge about the factors that lead to unintentional insider threat (UIT) and about how organizations in industry and government can protect themselves. This research is part of an ongoing body of work on social engineering and UIT conducted by the CERT Insider Threat Center at the Carnegie Mellon University Software Engineering Institute.

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A Multi-Dimensional Approach to Insider Threat

Insider Threat , Insider Threat Patterns No Comments »

By David Mundie
Senior Member of the Technical Staff
CERT Division

David MundieResearchers on the CERT Division’s insider threat team have presented several of the 26 patterns identified by analyzing our insider threat database, which is based on examinations of more than 700 insider threat cases and interviews with the United States Secret Service, victims’ organizations, and convicted felons. Through our analysis, we identified more than 100 categories of weaknesses in systems, processes, people, or technologies that allowed insider threats to occur. One aspect of our research focuses on identifying enterprise architecture patterns that organizations can use to protect their systems from malicious insider threat. Now that we’ve developed 26 patterns, our next priority is to assemble these patterns into a pattern language that organizations can use to bolster their resources and make them more resilient against insider threats. This blog post is the third installment in a series that describes our research to create and validate an insider threat mitigation pattern language to help organizations balance the cost of security controls with the risk of insider compromise.

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