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Using behavioural analytics tools to counter IP theft

Posted: 21 Aug 2015 ?? ?Print Version ?Bookmark and Share

Keywords:IP protection? Kaspersky Lab? software? open source?

As applied to software IP protection, behavioural analytics applies advanced mathematical techniques to large sets of data collected by the tools managing IP repositories and using knowledge of that context to better identify risk. By learning what "normal" behaviour of users and projects looks like and combining multiple potentially risky behaviours it can flag risky operations with few false alarms. In this way, organisations avoid being alerted to minor incidents that are unlikely to be a risk while they gain confidence that real issues are being identified.

For instance, companies can monitor an engineer who is acting outside of his or her normal behaviour patterns, such as downloading files from projects the engineer doesn't normally access. Another example of suspicious behaviour might be someone who checks out a larger amount of code than other members of their team or copies files to removable storage devices. By themselves, each of these activities may not appear to be very significant but the combination of taking files from unusual projects, taking more files than others on the same project and then putting those files on to a memory stick would flag a very high risk.

Today's electronics firms face many battles, including how to remain competitive in progressively challenging markets. Their products are complex and including OSS components makes them even more so. Protecting IP has become increasingly important across the entire organisation, but especially within product development processes, which are key assets in electronics companies. Securing those assets using new tools such as behavioural analytics will go a long way toward supporting survival and success in the future.

- Mark Warren
??Perforce Software

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