Cybersecurity operations will be more complex than ever in 2023. Since cyberattacks have become complicated, enterprises are forced to enhance their cybersecurity operations. The goal for enterprises is to become proactive when it comes to dealing with cybersecurity issues. Outdated security solutions are of no help in dealing with sophisticated modern-day cyberattacks. Even though enterprises have merged their security and operations teams (SecOps), problems exist. Automation is the only viable solution for enterprises to achieve maximum efficiency of security teams. To boost automation in cybersecurity, the popularity of AIOps Security technology is increasing. Many enterprises have successfully achieved maximum service availability with AIOps-led security solutions. Read on to understand how AIOps is the key to automating cybersecurity operations.

Common challenges with cybersecurity automation

One might wonder why traditional cybersecurity systems are suddenly outdated. Many organizations might not understand the need to change existing cybersecurity solutions. Besides AIOps, there are many automation technologies available for cybersecurity operations. Why choose AIOps-enabled solutions over other security solutions? The answer lies within the challenges of cybersecurity automation. Where other technologies are failing to resolve the cybersecurity automation challenges, AIOps has been successful. Let us first discuss the challenges with cybersecurity automation in 2023:

Resistance from the enterprise and employees

Employees resist when there is a large technological change within the organization. They might have become acquainted with the existing tools for security. They do not know what to expect from a new technology for cybersecurity. Since employees have become accustomed to legacy tools, it is hard to force a technological shift. Some employees are also concerned about the growth of automation technologies. Security teams might think AIOps can be used to monitor their working habits. They might not trust automation technologies and think it might cost them their jobs.

Organizations must find a way to educate employees about the importance of automation technologies. If only employees knew how much manual labor is reduced with AIOps, they would have asked for it earlier. Besides the employees, an enterprise might also be a little hesitant in adopting AIOps. An enterprise might be happy with the existing security tools that have maintained service availability. However, the enterprise can touch new heights of service availability with AIOps. Only if enterprises were aware of the rising cybersecurity threats would they have adopted AIOps by now.

The increasing complexity of cybersecurity data

Security teams collect performance data of the entire IT infrastructure and connected devices. They analyze the performance data to identify security issues. If a software system is performing abnormally, security teams address it immediately. Sometimes, a simple configuration change can prevent a massive security breach. The process of collecting and analyzing performance data was easy when the sample size was small.

The size of the IT infrastructure for any organization has increased. Enterprises have thousands of software systems, endpoints, and devices connected to the main IT network. Since the number of elements within the IT infrastructure has increased, the size of performance data has also increased. Security teams struggle to analyze large data sets of performance data. Many automation technologies have been developed to collect, clean, and analyze data quickly. However, none of them provided 100% accuracy. Some data outliers got past those systems and resulted in major security breaches. On the other hand, AIOps based analytics platforms have provided security teams with unmatchable accuracy.

Remote security

Remote security is the single biggest challenge for cybersecurity automation post-COVID. During the COVID era, enterprises did not have any other choice than implement remote work. Many enterprises relied on virtual machines to provide employees with remote computation abilities. However, employees used their personal networks to use enterprise applications. Some of these household networks were weak, with no security. Cyber attackers keep a tab on these mistakes and exploit them.

Enterprises need efficient security tools that can monitor network activities remotely. Remote endpoints must always be under the radar for the security teams. Outdated automation technologies could not implement remote security. It is where AIOps based analytics platforms come into the light for remote security.

How is AIOps the key to cybersecurity automation in 2023?

Here are the points that make AIOps much better than other technologies for cybersecurity automation:

Deep-dive analysis of the performance data

Since the size of data has increased, you need a powerful solution for automated analysis. The first step of cybersecurity automation is the collection of data. An AIOps based analytics platform will collect data from different endpoints (including remote endpoints) and analyze them automatically. It conducts a deep-dive analysis of the performance data and finds valuable insights. These insights will help the security teams to ensure proactive cybersecurity.

Automated event correlation

Most enterprises have too many security systems to generate alerts. Whenever the security system experiences an abnormality, it generates an alert. However, some alerts might be responsible for nothing, while some denote a security breach. Security teams struggle to find the alerts that matter. An AIOPs-led platform will correlate events automatically and highlight the most important alerts. Besides event correlation, AIOps will also automate pattern discovery to detect high-impact abnormalities within the infrastructure. At the end of the day, security teams will experience a significant rise in service reliability.

Mitigate risks proactively

Humans are reactive, which means they identify the root cause of a problem after it has occurred. An AIOps based analytics platform will identify the risks ahead of time. For example, let us say a critical software system responsible for the security of the network is about to stop working. An AIOps-led solution will monitor the behavior of the software system and notify before it exhausts. With AIOps, security teams can mitigate risks proactively and preserve service reliability.

Less mundane tasks

Several mundane tasks are associated with the cybersecurity department. From data cleaning to event prioritization, these tasks can take most of the time for security teams. AIOps Security will automate mundane cybersecurity tasks, leaving room for improved efficiency. It is time cybersecurity teams move towards hyper-automation with AIOps. Install an AIOps-enabled cybersecurity system right away!