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AI in Cybersecurity: The beginning of Incidence Response Automation Opportunities

The ever-increasing rate of cyber threats continues to put businesses at risk in this digital world. Even the most reliable networks are unable to save themselves from these attacks. Such incidents make the users wonder how easily their data can be attacked when even the reputable and most robust networks cannot protect their data. This has led to many brainstorming and experimenting to find a solution worth the increasing risks. Artificial Intelligence (AI) empowers under-resourced cybersecurity analysts to keep track of incoming threats. The benefits of Artificial Intelligence in the cybersecurity industry are many. Here we are going to explain everything about AI in cybersecurity. Have a look:

What was the need for Artificial Intelligence in Cybersecurity?

As cyberthreats become more complicated with time, it requires a method to help cybersecurity analysts keep ahead of the threats. With the growing volume of cyberthreats, it has become essential for the industry to have a technology that can track, detect, analyze, and respond to the threats coming in their way of making a safe place for them to exchange confidential data within the organization. The various reasons why the need for AI increased in cybersecurity is as follows:

Sudden increase of remote work

Remote working has drastically impacted business in many ways. The sudden transformation of all the physical workspaces to remote workspaces came with many challenges for businesses overseas. Companies without any preparation had to start functioning remotely, which took a massive toll on the security of their confidential data. This has led the cybersecurity industry to think ahead of the attackers and bring Artificial Intelligence to the sector. AI came as a savior to overcome the failure for a safe place for the organizations and prepare a robust incident response plan.

Cost friendly approach

Compared to manual efforts, automation offers a lot more convenience for businesses in terms of cost. Here the investment is only to get a reliable and quick response to the cyberattacks. With the increasing volume of cyberthreats in the environment, there was a need for faster and more accurate incident response automation opportunities to reduce the workload of manual threat analysis. The cyber industry came out with a solution that requires a one-time implementation to make it more cost-efficient.

Threat identification before attacks

The biggest drawback of manual threat hunting is that they could resolve only after the incident. However, this does not happen with artificial intelligence as the systems identify the attacks during the dwell time. This helped businesses resolve the issues whenever they tried to reside the systems. Now they don’t have to fear data loss or data breaches in their servers as they can quickly identify the threats whenever they try to enter the networks of the business.                       

How does the Cybersecurity Industry benefit from Artificial Intelligence?

Artificial Intelligence has made a significant impact on the cybersecurity industry. The industry adopted an intelligent and innovative solution to bring accurate and effective incidence response solutions to improve the overall efficiency of the servers. Also, it helped businesses improve their workflow to minimize duplication of threat security processes.

Learn continuously using data artifacts                             

The primary reason why there was so much noise for artificial intelligence in cybersecurity is it continuously learns and evolves. Unlike the manual efforts that take a lot of time to learn the changes and identify threats, the AI never stops learning using the data artifacts. Artificial Intelligence uses data pieces of the system behaviors and observes each change in the environment. It tracks all the suspicious activities in the serves and takes quick action against any threats residing in the systems.  

Quick tracking and response

As the world is digitalizing at a tremendous rate, there is a need to reduce the manual workload and automate the cybersecurity methods to have a quick tracking and response process. The use of AI helps identify the threats such as malicious files, suspicious IP addresses, and any other unusual behavior of employees inside or outside the environment related to business within seconds. With the quick and efficient incident response process, companies can detect threats promptly.

Minimize complex and lengthy tasks

The primary goal of the cybersecurity industry is to make the risk analysis and response process more efficient and quicker. With the help of AI in cybersecurity, businesses can now analyze risk more efficiently than manual teams. It helps them make critical decisions within seconds to minimize threat damage before it increases. Unlike the usual incident response plans, the automated incident response helps monitor large datasets within seconds.

Better use of resources

The primary concern of businesses these days is to keep track of the uses of their resources. The use of artificial intelligence in Incident Response ensures that all the organization’s resources are focused on the right path and eliminates duplication for better productivity of process management. It helps you keep an eye on the security alerts to ensure all the resources work perfectly for their desired tasks and mainly the high-risk functions.

Assigning duties to the right workforce

Businesses face the biggest challenge of assigning the right workforce for the right incident response time. With the help of automation, tasks are given to the team based on their skills and efficiency. This helps minimize duplication of functions and improve the efficiency of manual efforts. So that at the time of risk identification, the engineer assigned for the duty responds to the attacks. All the tasks are assigned based on the threat level and the efficiency of engineers to have the best response. 

How much do Incident Response Automation Opportunities offer today’s businesses? 

Since cyber-attacks are inevitable, manual threat hunting and incident response plans are insufficient for the networks. The ever-increasing volume and complexities of cyber-attacks slow down the manual threat hunting process resulting in poor data breach detection. Artificial Intelligence in cybersecurity has given the industry new strengths to have robust incident response plans. For more information on the Incident Response plans and cybersecurity, you can keep updated with Webstealer blogs. 

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