What’s Old is New: How Old Math Underpins the Future of A.I. in Security Operations
Most of us engineers know the truth—A.I. is just old math theory wrapped in a pretty package. The deep learning algorithms used for Neural Networks? Yep, you guessed it, those were developed in 1943!
For those of us in Security Operations, the underpinning mathematical theories of probability will lead us into the future. Probability theory will automate human analysis--making real-time decisions on streaming data.
Probabilistic modeling will fill the gaps that our SecOps teams deal with today: Too much data and not enough time. We humans have a very difficult time monitoring a live streaming console of security events. We just can’t thread it all together with our limited knowledge, biases, and the small amount of time we have to interact with each new event.
Making instant decisions as data is streamed real-time is near impossible because there is:
- too much info and data to process,
- not enough meaning—we don’t understand what the data is telling us,
- poor memories—can’t remember things two hours ago let alone, days, week’s or months before.
Enter Probability Theory
Watch my short video to learn how Probability Theory will fundamentally change the future of Security Operations by expanding our ability to analyze more data across our environments than ever before.