An Novel Approach in Designing a Security Workbench with Deep Learning Capabilities and Process Automation

To start with a proverb “It takes 20 years to build a reputation and few minutes of cyber-incident to ruin it” by Stephane Nappo. The number of cyber security attack over the Internet and Network is growing exponentially every day. The conventional approach of detecting malicious activity through the blacklists and controlling their access at the organization level not going to be effective in the near future. It is necessary to apply novel approaches based on Artificial Intelligence (AI) and Deep Learning (DL) techniques to detect cyber security attack pattern and bring down the time to react with seamless automation process. The challenge is to build a Deep Learning Model to predict the next sequence of attack pattern from different digital sources and zones is not automated traditionally, decision making for the security analysts and right solution recommendation from previous knowledge is a nightmare for large enterprise in the era towards uncompromised “Digital World”. Proposed security workbench will bring in the advanced analytical capabilities, intelligence and automation in cyber security attack detection and security fix process automation.