Using Neural Networks and Self-Organizing Maps to Attack the Insider Threat

We’re pleased to share a recent post from Dan Cybulski and, the research blog of Cognitio Corp., covering a recent discussion by Palo Alto Networks expert Tim Treat at the 2015 Insider Threat Summit in Monterey, Calif.

It is no secret that insider threat is a serious issue that every organization is facing. A look back at 2014 reveals any number of breaches that can be traced back to malicious or exploited insiders. The 2014 Data Breach Investigation Report published by Verizon highlighted that insider threats showed the most significant year over year growth from 2013 to 2014, although this number is likely not indicative of increased insider activity as much as it is proof that organizations are getting better at detecting these threats. But therein lies the problem: today, it seems as though every analytic company has an angle on helping organizations detect the threat, but detecting the threat in stale data limits an organization’s ability to minimize or prevent damage. Interestingly enough, Palo Alto Networks is working on ways to help its customers leverage the high fidelity data coming out of its Enterprise Security Platform…

Read the rest of the post here.

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