While companies have traditionally invested heavily in their perimeter to protect themselves from external threats, such as hackers, competitors, state-sponsored espionage and cyber-crime syndicates, there has not been the same level of investment in addressing the unique risks posed by insiders and detecting insider threat.
In this white paper, Cyberseer explores the potential motives and impacts behind ‘The Insider Threat’ and how advanced threat detection using machine learning combined with human analytics can help stop insider threats.
Catch insider threats and imposters that elude other security products. By increasing your knowledge of insider threats, you can efficiently detect, contain and eliminate attacks before they damage your organisation.
To read more then please submit your details for the full white paper.