Artificial Intelligence & Cyber Security

According to the research, there are approx. 4,249 breaches every year worldwide, exposing more than 4.2 billion personal records. 95% of breached records came from three industries - Government, Retail, Technology. A computer is hacked every 39 seconds, 56% of data breaches can be linked to phishing, cybercrime is now the 2^nd most reported economic crime. Global Artificial Intelligence in Cyber Security Market is expected to reach $18.2 billion by 2023. 

It has become clear that organizations can’t just depend on manpower and human interaction to fend off cyber-attacks. Not exclusively is it tedious for employees to spot potential dangers, however it is also challenging to come up with security technologies to anticipate them. In this way, there are fears that organizations will continue to fall victim to hackers. Here, Artificial Intelligence, Machine Learning & Deep Learning comes into play.

This is a game changer for the future of cybersecurity. Modern AI techniques, such as machine learning and deep learning, have an important role to play in the analysis of that data. They are particularly useful for predicting attacks and providing response plans.

What Machine Learning can do for Cyber Security?

•       User entity behavioral analytics, deep learning, automation
•       Assist IT professional and defect against new cyberthreats
•       Better predictive models, lower FPR, distill new metrics
•       Fraud and anomaly detection
•       Defend against new cyberthreats
•       Better use of internal data and global repositories
•                Tackle device influx and enhanced data loss prevention (DLP) Solutions 

      There are many companies working in this area. Check out below to find them:

Credit: CB Insights

     Artificial Intelligence, Machine Learning and deep learning will transform cyber security approaches in the coming years. These are a big part of the future of cyber security. One of the key areas we must solve is how to not only use them for correlation detection, but also causation. Without understanding the ‘why’ behind a cyber security incident, we will always be chasing false positives and lacking the ability to priorities a growing queue of cyber security incidents.

     Cyber security is a difficult enough problem. We must use Artificial Intelligence, Machine Learning and deep learning to bring a new focus and to enhance and improve the ability to manage security of systems. Given the shortage of cyber security professionals and the explosion in IoT and cloud systems, companies are focusing on working smarter, not harder. And as an industry, they must stop inflating the scale of the problem.

      

      For more details please contact:
Name: Amelia Smith
Contact: machinelearning@enggconferences.com; worldmachinelearning@enggconferences.com