In cybersecurity, prevention is not the best medicine. As we've learned from recent infiltrations inside the networks of leading corporations and federal government agencies, it is virtually impossible for a large organization to draw an impenetrable perimeter of defense around its data. The'castle model' of cybersecurity has been found wanting. But that does not mean the firewalls need to be taken down. Instead, our metaphorical castle must be staffed with a network of spies trained to monitor every single visitor who crosses the moat and flag any suspicious behavior they encounter.

We've come a long way since the days of horse-drawn carriages. Not only do we have fast, powerful cars at our disposal – we can also see glimpses of an era when everyone will be riding in self-driving automobiles. You can say the same for data analytics. Computers and digital data have done much to revolutionize the processing of information, but here too artificial intelligence is expected to change the game in the decades to come. Instead, they analyze data in-motion -- based on a dynamic model that evolves with each new addition of data – and coordinate an immediate and appropriate response. This type of program – what we call Predictive Behavioral Analytics or PBA – is already being used by businesses in a wide range of industry.