Today, cybersecurity has far more basic needs. Business' reliance on amassed data have created the need for a parallel problem of keeping it all safe. Unfortunately, it is much easier to produce data than to protect it. But advancements in Artificial Intelligence (AI) has shaken up cybersecurity with its automatic threat prevention, detection and response revolutionizing one of the fastest growing sectors in the digital economy. AI applications can also automatically adapt to changes in threats and spot problems as they arise. Using AI for cybersecurity will give birth to data-driven security models.
AI in Cybersecurity
Biometric Logins: Security experts believe that passwords are vulnerable to cyber attacks and user information can be easily compromised. Leveraging AI for cybersecurity has introduced biometric login techniques for more secure logins. AI systems scan fingerprints, retina and palm prints accurately. This biometric login can be used in combination with passwords that are already in use with smart devices.
Detecting Threats: Cybersecurity experts are training AI systems to detect malware with the help of several datasets that include algorithms and codes. AI can do pattern recognition that helps identify malicious behavior in software using these data.AI-based systems can recognize malicious files, like web shell, and preemptively isolate them from the system. AI systems can be trained to analyze the micro-behavior of ransomware attacks before it encrypts a system.
Natural Language Processing (NLP): AI systems use NLP for choosing useful information from the scanned data, and this data will provide insight into cyber attacks, anomalies, mitigation, and prevention strategies.
Conditional Access: AI systems can use Multi-Factor Authentication for limited access. With this approach, the system will collect user information to analyze user behavior, application, device, network, data, and location. Also, the AI system can change the user's access privilege to ensure security.
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Limitation of Using AI in Cybersecurity
Certain restrictions are obstructing the adoption of AI technology although there are many benefits regarding its deployment. For beginners, deploying and maintaining an AI-based system demands a tremendous amount of resources including memory, computing power, and data. Also, the data used to train the system should be accurate; otherwise will lead to inefficient outcomes.