The digital world is growing exponentially as time passes. And as it is expanding, we are discovering its true potential and value. But the yin and yang concept is also prevalent in the internet domain. So, there's evil in good here too, as cyberattacks loom over everything digital. Where machine learning was utilized in cyber security to spot similar malware and malicious links, instead with cyber crime it's wont to evade filters, bypass CAPTCHA checks, and generate targeted phishing emails.

As the world becomes increasingly digital, we are unlocking more value and growth than ever before. However, a challenge that governments, enterprises and well as individuals leveraging technology are constantly facing is the growing threat of cyberattacks that looms large over us. Cyber security solutions provider SonicWall's 2019 report revealed 10.52 billion malware attacks in 2018, a 217% increase in IoT attacks and 391,689 new variants of attack that were identified. What's more is that cyber criminals today are evolving with technology and upping their game. Such incidents don't just have the potential to bring businesses to a standstill but can also inflict serious damages to their resources and repute.

As the world becomes increasingly digital, we are unlocking more value and growth than ever before. However, a challenge that governments, enterprises and well as individuals leveraging technology are constantly facing is the growing threat of cyberattacks that looms large over us. Cyber security solutions provider SonicWall's 2019 report revealed 10.52 billion malware attacks in 2018, a 217% increase in IoT attacks and 391,689 new variants of attack that were identified. What's more is that cyber criminals today are evolving with technology and upping their game. Such incidents don't just have the potential to bring businesses to a standstill but can also inflict serious damages to their resources and repute.

Researchers with MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have announced a breakthrough in cyber threat detection that promises to dramatically lower the amount of time human analysts spend sorting through information in search of evidence of cyber attacks. IT analysts spend countless hours scouring through mountains of data in order to find evidence of compromised systems. Often, the search for anomalies in data is so extensive, that overwhelmed human teams are forced to overlook potentially critical information for lack of time. That's where MIT's researchers believe they can help. In a world where most companies are under constant threat of cyber attack, having a system that never sleeps or takes a coffee break is a big help.