Artificial Intelligence: Cybersecurity
- Spectral secure
- Nov 22, 2018
- 1 min read
Updated: Jun 27, 2019

However, such situations can be avoided with modern technologies such as artificial intelligence and machine learning. AI has already displayed limitless potential in various applications across different industries. Likewise, deploying AI for cybersecurity solutions will help protect organizations from existing cyber threats and help identify newer malware types too. Additionally, AI-powered cybersecurity systems can ensure effective security standards and help in the creation of better prevention and recovery strategies. Using AI for cybersecurity will give rise to data-driven security models.
Multiple cybersecurity experts believe that passwords are vulnerable to cyber attacks and users’ personal information, credit card information and social security numbers can be easily compromised. Therefore, deploying AI for cybersecurity has introduced biometric login techniques for secure logins. AI systems can scan fingerprints, retina and palm prints accurately. Such biometric logins can be used in combination with passwords that are already in use with devices like smartphones.
Cybersecurity firms are training AI systems to detect malware and viruses with the help of several datasets that include algorithms and codes. Using such data, AI can perform pattern recognition that helps identify malicious behavior in software. Moreover, AI and machine learning can play a crucial role in online security. Machine learning can analyze path traversals of websites to detect whether a website navigates to malicious domains. Likewise, AI-based systems can recognize malicious files, like web shell, and preemptively isolate them from the system. AI systems can be trained to analyze micro-behavior of ransomware attacks to recognize ransomware before it encrypts a system. Furthermore, AI systems can use predictive analytics to AI-based alternatives that will always be quicker and more effective than a manual approach.
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