It used to be that dairy farmers relied on whatever was growing in the area to feed their cattle. They filled the trough with vegetation grown right on the farm. They probably relied heavily on whatever grasses grew naturally and perhaps added some high-value grains like barley and corn. Today, with better technology and knowledge, dairy farmers work with nutritionists to develop a personalized concentrate of carbohydrates, proteins, fats, minerals, and vitamins that gets added to the natural feed. The result is much healthier cattle and more predictable growth.
We’re going through a similar enlightenment in the security space. To get the best results, we need to fill the trough that our Machine Learning will eat from with high-value data feeds from our existing security products (whatever happens to be growing in the area) but also (and more precisely for this discussion) from beyond what we typically consider security products to be.
In this post to the Oracle Security blog, I make the case that "we shouldn’t limit our security data to what has traditionally been in-scope for security discussions" and how understanding Application Topology (and feeding that knowledge into the security trough) can help reduce risk and improve security.
Click to read the full article: Improve Security by Thinking Beyond the Security Realm