These days, biometric authentication is being rapidly popular in the process of verifying user identity using measurements or other unique characteristics of the user body such as scanning fingerprints, retinas, or palm prints alone or concurrent with a password for secure logging in a service, an app or new devices and so on. AI can identify, detect, analysis the viruses and malware system and can then run the pattern recognition in the software.
Some of the roles of AI in Cyber Security are:
- AI systems are used to detect viruses and malware by using complex algorithms and predictive functions.
- For this, AI systems are trained to identify even the smallest behaviors of ransomware and malware attacks to isolating them before it enters the system.
- AI uses Natural Language Processing to collect information that can give insight into anomalies, cyber attacks, and prevention strategies and allows cybersecurity firms to stay updated on the latest risks and time frames and build responsive strategies to keep organizations protected.
- AI provides a lot of dynamic and real-time frameworks like Multi-factor authentication which collects user information to understand the behavior of that user, which can modify access and make a determination about the user’s access privileges based on the network and location of the user.
Drawbacks:
- It occupies a large number of resources including memory, data, and computing power.
- It takes a long time and resources to obtain many different data sets of malware codes, non-malicious codes, and anomalies, etc.
- Hackers can also use AI themselves to test their malware and improve and enhance it to potentially become AI-proof.
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