The increasing number of high-profile attacks in the cyber environment leaves cyber security professionals struggling due to the lack of qualified staff and the increasing aggression and sophistication of attack actions. The birth of AI is the key to all challenges in the cyber security space. It is seen that AI will enable security teams to tackle more threats than ever before, with more complexity and less manpower. In this article, we provide information about AI in cyber security and how AI can be integrated into cybersecurity.
The use of AI in cyber security
AI and machine learning are now becoming essential for network information cyber security, as AI is capable of rapidly analyzing millions of data sets and tracking many cyber threats. It can track behaviors that could lead to an attack in this space.
There is increasing investment in AI in cyber security. There is a Pillsbury expectation that cybersecurity-related AI spending will grow at a compound annual growth rate of 24% through 2027 to reach a market value of $46 billion.
Advantages and Disadvantages of AI in Cyber Security
AI is increasingly showing its advantages and important applications in many different fields, and the application of AI in cyber security is one of them. With cyberattacks evolving rapidly and rapid scaling of devices happening today, AI can help keep pace with cybercriminals, automatically detect threats and respond more effectively than conventional manual or software-based techniques.
However, “every coin has two sides”. AI in this area also has some disadvantages. For example, to build and maintain an AI system, organizations will need more resources and financial investments. In addition, since AI systems are trained using datasets, enterprises must acquire various sets of malware, non-malicious, and anomalous code. Acquiring all these data sets is time-consuming and requires investments that most organizations cannot afford.
How can AI be integrated into cyber security?
Cybersecurity attacks are gaining ground in creating up-to-date versions of malware that can evade signature-based detection. AI in cybersecurity can analyze malware based on inherent characteristics, rather than signatures. For example, having a piece of software that can quickly encrypt multiple files at once is questionable. If it takes steps to hide from observation, that’s another sign that the software isn’t legit. If there were an AI-based tool, these and many more could be considered to calculate the risk of a new, never-before-seen piece of software.
Identifying and prioritizing threats
Because there are so many attacks, cybersecurity professionals are overwhelmed by security alerts that come in every day, but the problem is that most of them are false alarms so they don’t have enough time to deal with the problems of actual attacks occurring. The application of AI to cybersecurity helps to solve the problems of attacks more thoroughly. AI really does a good job at figuring out which events are a real threat.
Taking automated actions
Finally, AI can be used to automate repetitive tasks in cybersecurity like responding to high volumes of low-risk alerts. These are alerts that need a quick response but the risk of making a mistake is low and the system has a high degree of certainty about the threat. AI can intervene and address these issues as appropriate, helping companies cope with the shortage of qualified cybersecurity professionals.
AI technology has become increasingly essential to enhance the performance of cybersecurity thanks to its great benefits. Even with its downsides, AI will still be a technology that will drive cybersecurity developments and help organizations create a stronger security posture.
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