If you’ve been in information security for a while, you’ve likely had some experience with file integrity monitoring (FIM). It’s a capability with a long history, going back to the original open-source Tripwire tool for monitoring file hashes. And FIM has staying power. It’s still around, and there are still new deployments. There aren’t a lot of security controls that continue to be valuable over such a long time frame.

Businesses test for network vulnerabilities in many different ways and the public’s opinion of good-guy hackers greatly depends on the companies that hire them.

The digital world has become a dangerous place. It’s like the Wild West (the movie kind, not the real kind, which was decidedly less wild than it’s portrayed), with outlaws out to do you harm and make off with your precious data. Fortunately, like any good western, there are also honour-bound gun slingers seeking to bring law, order and – most importantly – security to the digital landscape.

Using Machine Learning to Save Businesses Time and Money as They Comply with the New EU Regulation

The most hyped law on data protection has finally come into effect on May 25, 2018. Passed by the European Parliament on April 14, 2016, it is already being touted as the most stringent data protection law across the world. Prior to GDPR, Data Protection Directive of 1995 was applicable which now stands repealed. Apart from the businesses incorporated in the European Union, GDPR also applies to businesses incorporate outside the European Union but are dealing with the data of EU residents.

In the evolving world of technology, cybersecurity threats are growing exponentially and, therefore, enterprises are seeking for standardized and automated Security Operation Centers (SOCs) to address these threats effectively. Though SOC standardization and Automation is of paramount importance, yet there are some other critical factors that must be considered when building an effective and reliable SOC.