Utilizing Machine Learning In The Security Sector »

Machine learning for data security and protection is a popular topic, though expert opinion on the current probability of such uses is divided. And while computer algorithms have been making decisions for us for many years now, the future applications of such machine intelligence are far more complex than anything we've seen yet. For some, trusting a machine to manage weighty aspects of our lives is disagreeable; the EU's General Data Protection Regulation penned for 2018 tackles such conflict through a clause which may give citizens the option of having machine-driven processes elucidated – a possibility causing some angst in many organizations that rely on sophisticated algorithms and predictive modeling. But what of trusting our machines, in collaboration with big data, to facilitate security and privacy? Already a highly security-conscious environment, we may start seeing machine learning implemented in airports for greater protection. Using collected data, it's possible for behavior recognition programs to supplement scanners and baggage checks by recognizing dangerous behaviors.