Automation has several applications and is used worldwide. One such application is the concept of self-healing systems used with Artificial Intelligence in security. Let’s explore its benefits in terms of its effectiveness…
Automation has several applications and we have seen in the past that how it is used for business operational activities such as for detecting and fixing common network issues and other such application. Similarly, businesses have started to implement automation with Artificial Intelligence (AI) and Machine Learning (ML) in security. Advanced Persistent Threats (APT) are deployed through various processes by continuous monitoring using multiple layers of protection and threat intelligence. On this aspect CIOs can implement the self-healing systems using AI with automation to thwart security threats. Thus the CIO can reassign the valuable resource of their team on other strategic activities which requires more of human intervention on security.
Intelligent Self-Healing Systems
The basic model for intelligent self-healing computers networked to find and patch their own flaws, reducing their exposure to cyber attacks is a reality now. Presently, self-healing networked computers using a knowledge bank (AI and ML) of pre-defined and tested automation objects and IT processes can resolve only known issues. This implies that the IT security team need a clear perspective of what frequent issues are, specifically in terms of factors that cause system downtime and business critical consequences. This means that the traditional time to recover from a cyber attack can be minimized through automation and self-healing systems.
Self-healing systems using automation has a lot to offer in terms of security. The following are some of the advantages of using self-healing systems
Better Utilization of Human Resource
Through self-healing systems the security team that is involved in the challenge of monitoring and detecting advanced cyber security threats can be assigned other responsibilities. This doesn’t mean that self-healing systems does all the work of humans in detection and mitigation of cyber threats — but the security team can also be formed as an additional layer of security and can focus on other roles that need more of human intervention.
Managing Massive Load of Security Threats
When it comes to traditional security systems for monitoring and managing advanced threats in terms of handling high volume of incoming threats in organizations, self-healing systems are better suited.
Faster Incident Response
When it comes to speed of traditional incident response system and automated and intelligent computers, obviously the speed of the machines is faster. When a security threat is detected it is dealt with according to a defined process much faster than the traditional incident response systems.
Critical system-errors in traditional incident response system is often an issue in a cyber security incident when the malware remains undetected, there is escalation of security threat. On this aspect, the automated self-healing systems with smart intelligence can minimize the errors in detection and thus reduces the risks.
In terms of efficiency of dealing with incident management and response process, self-healing systems comprising number of computers and networks can manage and neutralize the security threats.
A Brief Conclusion
Currently, the cyber threat landscape is evolving and idea of using automated computers and networks is an exciting development. In the years to come, intelligent and smart computers and networks that can proactively search and neutralize unknown vulnerabilities, and constantly ‘learn’ about new security threats will transform how we manage cyber security.