Whitepaper: Big security for big data
Posted on 15 October 2013.
The multitude of devices, users, and generated traffic all combine to create a proliferation of data that is being created with incredible volume, velocity, and variety. Organizations need a way to protect, utilize, and gain real-time insight from ďbig data.Ē This intelligence is not only valuable to businesses and consumers, but also to hackers.


Robust information marketplaces have arisen for hackers to sell credit card information, account usernames, passwords, national secrets (WikiLeaks), as well as intellectual property. In order to meet the current security problems faced by organizations, a new paradigm shift needs to occur.

Businesses need the ability to secure data, collect it, and aggregate into an intelligent format, so that real-time alerting and reporting can take place. So, how do we get started?





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Harnessing artificial intelligence to build an army of virtual analysts

PatternEx, a startup that gathered a team of AI researcher from MIT CSAIL as well as security and distributed systems experts, is poised to shake up things in the user and entity behavior analytics market.


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