Israel is a country full of history, which is why they have more museums per capita than any other country. They also have the oldest continuously used cemetery in the world and the oldest continuously inhabited city in the world. Hearing that, you'd think that not a whole lot has changed over the years, but one thing that has constantly been evolving is their ability to innovate and be productive. Next to the U.S. and Canada, Israel has the largest number of publicly traded companies, which shows that they can also build successful businesses. Our recent article on "The Top-10 Biggest Startups in Israel by Funding" proved to be quite popular so we decided to do another article on the top 10 Israeli artificial intelligence (AI) startups.

Around 2010, security analytics technologies started to integrate big data science and open-source technologies like Hadoop (and HDFS), Pig, Mahout, etc. The goal? Ingest, process, and apply new types of algorithms to security data to supplement human intelligence for finding needles in growing haystacks of security data. The U.S. Department of Energy was an early pioneer in this area with a project called Orca from the Oak Ridge National Lab. Since then, big data security analytics sort of morphed into machine learning, which led to the creation of a new security technology category: user and entity behavior analytics (UEBA). UEBA was designed to monitor user behaviors such as logins, remote access, network connections, etc., model "normal" behavior, and then detect anomalies that may indicate an attack in progress.

IT security is a dangerous and expensive hellhole. Vast amounts of money are spent protecting company data and networks. Hordes of bad guys are motivated to break in, and the consequences for failure are more painful than the cost of protection. Worse, the current ways that Chief Security Officers (CSOs) deal with security are intrusive. While core security tools such as managed endpoint protection will always be necessary, every one of us has bemoaned the difficulty of managing passwords, cussed about access rights to the software we need, and complained about the barriers between us and the work we need to do.