How Artificial Intelligence Will Improve Cybersecurity in 2024?
How Artificial Intelligence Will Improve Cybersecurity in 2024?
Generative AI war is underway. Every vendor is trying to outdo the other by introducing new and innovative features. This has made it harder for businesses and business owners to decide which AI tool is the right fit for them. 2023 was a breakthrough year for generative AI and large language models as it disrupted every industry you can think of. cybersecurity is no exception to this.
Both threat actors and cybersecurity professionals have started using these artificial intelligence tools to their advantage. Expect social engineering attacks such as phishing attacks to become more sophisticated. The number of cybersecurity attacks will increase exponentially as malicious actors can easily scale their malicious campaigns with the help of artificial intelligence.
We could even see AI vs AI-wars in cybersecurity as both sides look to leverage the technology. If you are wondering how artificial intelligence will influence the cybersecurity industry in 2024, this article is for you. This article will highlight how artificial intelligence will improve cybersecurity in 2024.
How Artificial Intelligence Will Improve Cybersecurity in 2024?
Here are some of how artificial intelligence will improve cybersecurity in 2024.
1. Pattern and Behaviour Identification
Artificial intelligence excels at identifying patterns from huge data sets. This makes it an ideal choice for detecting suspicious and malicious behavior. Businesses can use this to their advantage and identify patterns that serve as a red flag. Cybersecurity teams can act quickly as soon these patterns are detected and can minimize the damage substantially.
Best of all, you can also use it to detect patterns for emerging threats which gives your team a head start against new threats. For instance, you can easily identify a sudden spike in malicious traffic which could be a warning sign for a devastating DDoS attack. Artificial intelligence is a great tool to have in your arsenal for a practice cybersecurity team.
2. Hassle-Free Event Data Management
The amount of data cybersecurity professionals work with is overwhelming. Solutions like security information event management and data lakes do not help the cause either. Instead, they make the situation even worse by collecting data for the sake of it. Most businesses fail to take full advantage of these tools, which can complicate matters.
With large volumes of event data to work with, cybersecurity professionals tend to struggle with data management and extracting useful insights from these large data sets. Artificial intelligence is here to change that for the better by allowing businesses to make sense of event management data. You don’t have to sift through all the data collected by SIEM solutions manually and organize it before analyzing it. AI will do the heavy lifting for you.
3. Automation and Code Generation
Cybersecurity teams are already understaffed and overworked. Artificial intelligence can reduce the burden off the shoulders of your cybersecurity team by automating a lot of these tasks. A vast majority of security workflows that require human involvement right now will be handled by AI in the near future.
Process and workflows involved in threat intelligence, penetration testing, and security hardening will be automated. Cybersecurity professionals will no longer have to write their own security scripts as they can use generative AI to generate code for those security scripts. This will reduce their workload and allow them more free time so they can focus on more value-centric activities.
4. Operational Technology Defence
Artificial intelligence can play a crucial role in anomaly detection and threat identification and remediation, which are two of the most critical parts of operational technology defense. Identifying abnormal patterns and real-time threat updates can give your team more time to react to cybersecurity threats.
With the help of artificial intelligence, businesses can even automate many incident response activities such as isolating compromised systems and conducting forensic analysis. Combine that with user and entity behavior analytics and you can easily keep insider threat and unauthorized access attempts by threat actors at bay.
5. Data Analysis Made Easy
With artificial intelligence at their disposal, cybersecurity experts can conduct cybersecurity analysis in a fraction of the time. This can drastically improve threat detection and response. This is a huge departure from the past when cybersecurity professionals have to gather, analyze, and make sense of all the data themselves. Now, businesses can even analyze massive data sets in real-time and identify patterns that point towards warning signs of a cybersecurity attack or data breaches.
6. Efficient Threat Detection and Response
As more and more devices connect to your network, your enterprise attack surface expands. Add to that the cloud and edge deployments and it makes the job of a cyberattacker much easier as they have many targets to hit and compromise. How can you keep an eye on your entire technology infrastructure?
How can you detect and respond to any threats that target any of these devices and deployments? Artificial intelligence can help you with that. It helps you cut through the noise by sifting through large volumes of data instantly and identify suspicious behavior immediately.
7. Compliance Process Automation
Everything from implementing constraints and security guidelines to developing and fulfilling regulations is a time-consuming process. Throw in proof collections and responding to customer queries and you can easily see why the cybersecurity team struggles with compliance processes.
Artificial intelligence teams can take the pain out of the compliance process by automating most of its tasks. This gives cybersecurity teams more time to focus on security issues instead of compliance processes. Expect many compliance processes to be automated in the future as the use of artificial intelligence grows amongst cybersecurity teams.
How will artificial intelligence improve cybersecurity in your opinion? Share it with us in the comments section below.
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Generative AI war is underway. Every vendor is trying to outdo the other by introducing new and innovative features. This has made it harder for businesses and business owners to decide which AI tool is the right fit for them. 2023 was a breakthrough year for generative AI and large language models as it disrupted every industry you can think of. cybersecurity is no exception to this.
Both threat actors and cybersecurity professionals have started using these artificial intelligence tools to their advantage. Expect social engineering attacks such as phishing attacks to become more sophisticated. The number of cybersecurity attacks will increase exponentially as malicious actors can easily scale their malicious campaigns with the help of artificial intelligence.
We could even see AI vs AI-wars in cybersecurity as both sides look to leverage the technology. If you are wondering how artificial intelligence will influence the cybersecurity industry in 2024, this article is for you. This article will highlight how artificial intelligence will improve cybersecurity in 2024.
How Artificial Intelligence Will Improve Cybersecurity in 2024?
Here are some of how artificial intelligence will improve cybersecurity in 2024.
1. Pattern and Behaviour Identification
Artificial intelligence excels at identifying patterns from huge data sets. This makes it an ideal choice for detecting suspicious and malicious behavior. Businesses can use this to their advantage and identify patterns that serve as a red flag. Cybersecurity teams can act quickly as soon these patterns are detected and can minimize the damage substantially.
Best of all, you can also use it to detect patterns for emerging threats which gives your team a head start against new threats. For instance, you can easily identify a sudden spike in malicious traffic which could be a warning sign for a devastating DDoS attack. Artificial intelligence is a great tool to have in your arsenal for a practice cybersecurity team.
2. Hassle-Free Event Data Management
The amount of data cybersecurity professionals work with is overwhelming. Solutions like security information event management and data lakes do not help the cause either. Instead, they make the situation even worse by collecting data for the sake of it. Most businesses fail to take full advantage of these tools, which can complicate matters.
With large volumes of event data to work with, cybersecurity professionals tend to struggle with data management and extracting useful insights from these large data sets. Artificial intelligence is here to change that for the better by allowing businesses to make sense of event management data. You don’t have to sift through all the data collected by SIEM solutions manually and organize it before analyzing it. AI will do the heavy lifting for you.
3. Automation and Code Generation
Cybersecurity teams are already understaffed and overworked. Artificial intelligence can reduce the burden off the shoulders of your cybersecurity team by automating a lot of these tasks. A vast majority of security workflows that require human involvement right now will be handled by AI in the near future.
Process and workflows involved in threat intelligence, penetration testing, and security hardening will be automated. Cybersecurity professionals will no longer have to write their own security scripts as they can use generative AI to generate code for those security scripts. This will reduce their workload and allow them more free time so they can focus on more value-centric activities.
4. Operational Technology Defence
Artificial intelligence can play a crucial role in anomaly detection and threat identification and remediation, which are two of the most critical parts of operational technology defense. Identifying abnormal patterns and real-time threat updates can give your team more time to react to cybersecurity threats.
With the help of artificial intelligence, businesses can even automate many incident response activities such as isolating compromised systems and conducting forensic analysis. Combine that with user and entity behavior analytics and you can easily keep insider threat and unauthorized access attempts by threat actors at bay.
5. Data Analysis Made Easy
With artificial intelligence at their disposal, cybersecurity experts can conduct cybersecurity analysis in a fraction of the time. This can drastically improve threat detection and response. This is a huge departure from the past when cybersecurity professionals have to gather, analyze, and make sense of all the data themselves. Now, businesses can even analyze massive data sets in real-time and identify patterns that point towards warning signs of a cybersecurity attack or data breaches.
6. Efficient Threat Detection and Response
As more and more devices connect to your network, your enterprise attack surface expands. Add to that the cloud and edge deployments and it makes the job of a cyberattacker much easier as they have many targets to hit and compromise. How can you keep an eye on your entire technology infrastructure?
How can you detect and respond to any threats that target any of these devices and deployments? Artificial intelligence can help you with that. It helps you cut through the noise by sifting through large volumes of data instantly and identify suspicious behavior immediately.
7. Compliance Process Automation
Everything from implementing constraints and security guidelines to developing and fulfilling regulations is a time-consuming process. Throw in proof collections and responding to customer queries and you can easily see why the cybersecurity team struggles with compliance processes.
Artificial intelligence teams can take the pain out of the compliance process by automating most of its tasks. This gives cybersecurity teams more time to focus on security issues instead of compliance processes. Expect many compliance processes to be automated in the future as the use of artificial intelligence grows amongst cybersecurity teams.
How will artificial intelligence improve cybersecurity in your opinion? Share it with us in the comments section below.
