Artificial intelligence and machine learning for incident response applied with a robust cybersecurity plan can truly transform your organization’s cybersecurity maturity.
Effective cyber incident response planning is crucial for surviving the onslaught of cybercrime this year. Artificial intelligence and machine learning for incident response applied with a robust cybersecurity plan can truly transform your organization’s cybersecurity maturity. The mix of AI and machine learning in your incident response strategy could decrease the time to respond, detect, and mitigate a cybersecurity incident. In this blog, we’ll explore a few of the most compelling ways in which artificial intelligence and machine learning could transform cyber incident response to help elevate your overall cyber resilience!
Quicker Identification of Anomalies
Intrusion detection systems (IDS) can monitor network activities, and their job is to locate malicious activity and policy violations in time. The actual application of both Artificial intelligence and machine learning could seriously improve their ability to detect any anomalies. AI and machine learning algorithms could go through the ever-changing business data volumes quickly. This could revolutionize the time spent detecting malicious activities. Applications of the latest techniques like supervised learning can further bolster the timely detection of suspicious pattern changes. This could seriously minimize the window of opportunity for hackers since it dramatically reduces the amount of time they’re allowed to spend in a network before they’re detected.
Quicker and More Accurate Risk Prioritization
With their ability to go through massive volumes of data and the ability to identify anomalies, AI and machine learning technology can accurately predict the biggest organization threats and risks at a very great speed. They could also categorize the risks as per the severity of their impact in case the risk turns into a legitimate incident. This can provide the proper focus points for Incident Response teams to prioritize their response efforts. Risk prioritization, which is a serious component in cyber incident response planning, could get a streamlined and accurate direction with the application of AI and machine learning.
A Faster, Automated Response
Automation in cyber incident responses helps organizations to respond to cyber attacks much quicker and more effectively. It also helps reduce the burden on incident response and technical teams so they can focus on the most crucial aspects of managing an incident. They could also help execute response actions based on pre-defined procedures. They can also assign the right responder to a specific kind of incident. They could also establish a communication protocol based on the severity of the incident. More importantly, for specific kinds of incidents, these technologies help enable the automation of the initial response steps. For example, if a network segment is compromised, automated response could mean that credentials access is restored immediately and patches are deployed without the requirement for human intervention.
En-Net Services Can Help Today
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