7 Ways AI Can Solve Cybersecurity Staffing Shortages

Cybersecurity is a growing concern for businesses of all sizes. The cybersecurity staffing shortage has become so severe that it’s now the number one challenge facing organizations. Artificial intelligence could be the answer to this problem, as AI can help automate many of the tasks currently done by humans. This would allow companies to focus on higher-level security issues and leave lower-level tasks to artificial intelligence systems.

Could Artificial Intelligence Solve Cybersecurity Staffing Shortages?

AI Can Automate Many Tasks

Artificial intelligence can help automate many of the tasks currently done by humans, which will allow companies to focus on higher-level security issues. This means that the number of people needed to protect an organization’s data can be significantly reduced. If cybersecurity staff has fewer tasks, they should also require less training and experience. For example, many organizations are currently using AI to detect threats, like malware and phishing scams. While these are important tasks, they are also quite basic. The more complex issues require the attention of trained professionals who can review code, evaluate vulnerabilities, and make recommendations about how to solve them.

AI Can Increase Security

Even though AI systems are incredibly capable, they still lag behind humans when it comes to decision making. Human cybersecurity experts have an incredible ability to determine the best course of action when it comes to assessing a problem and solving it.

This is because they understand factors like the business’s culture, industry standards, and past experiences. If AI can provide cybersecurity experts with more details about an attack or threat, this will help them make better decisions and improve communication with human colleagues.

AI Can Read Big Data

Since AI can read big data, are able to identify trends that humans may not be able to. If a company has collected data about all of the threats it’s faced over the years, this information will help an AI system determine which types of attacks are most commonly used against similar organizations.

A drawback of turning cybersecurity tasks over to artificial intelligence is that the technology may make some mistakes. While these are rare, they can cause significant problems for businesses.

If an AI system gets hacked or experiences a programming error, hackers could exploit these flaws to launch attacks against other organizations. It’s also possible for errors to harm the business itself, as happened when Facebook accidentally blocked legitimate news articles from several major publishers.

AI Can Analyze Reports

Using AI to analyze reports will help organizations quickly identify emerging threats. However, it’s important to note that this isn’t a replacement for cybersecurity professionals.

While AI systems can read thousands of reports in seconds and summarize the results, they still lack certain human abilities when it comes to understanding these data points.

For example, if an organization is hacked by a zero-day exploit, AI won’t be able to identify the implications of the attack. This means that at least one person will need to take a closer look at the situation and conduct additional research in order to determine if critical systems were breached, which security patches should be applied, and how long it will take before everything is resolved.

AI Makes Working at Entry Level More Interesting

While AI isn’t currently advanced enough to fully replace cybersecurity professionals, it can handle simpler tasks. This means that entry-level workers will have the opportunity to participate in more complex work that requires human intelligence.

For example, skilled programmers who are interested in cybersecurity may be able to take on more complex projects if they have an AI system that can handle routine tasks.

AI Will Allow Organizations To Save Money

One of the biggest benefits to using AI for cybersecurity is that it can help organizations avoid costs associated with hiring additional staff. In addition, there are considerable costs associated with providing cybersecurity training and certifications.

Since AI systems don’t need to be trained, they’re a more cost-effective solution to help combat growing cybersecurity challenges. Also, since AI systems operate 24/7, the workload is distributed evenly among existing staff members. This can reduce costs associated with employing additional workers.

AI Can Work With People On More Complex Tasks

Artificial intelligence offers a range of benefits for organizations that are trying to protect their networks and data. Until the technology evolves to a point where it can fully replace human workers, there will be certain tasks that must be completed by hand.

However, AI systems can work with people on these complex projects and provide them with information they need to make better decisions and improve their response times.

It’s also possible for staff members to collaborate on how to respond to certain attacks, especially if they have different types of expertise.

However, it’s important for cybersecurity professionals to understand that AI can’t replace them.

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