AI in Cybersecurity, or protecting data from digital threats, is just as important as storing data in digital sources. Cybersecurity involves multiple layers of protection with different systems complementing each other’s security forces to create a mesh and trap any potential threat or attack. These attacks usually have the intention to access vulnerable data, extract money from the sources or stop necessary functions of the system.
We need to have strong cybersecurity as cyber-attacks cause identity theft, extortion of money and failure of critical operations in big industries. Cybersecurity works on three levels, namely, detection of a threat, investigation of possible damage and remediation.
With AI development being used in every industry because of the flexibility in its applications, it is often considered a useful tool in cybersecurity. AI can form patterns and detect threats in a better way as compared to human beings. Here are a few positive impacts of AI in cybersecurity.
Even though AI seems to be a boon to the cybersecurity industry, there are a few drawbacks to the application of AI.
These drawbacks can revert all the advantages AI has, thus in today’s scenario we need to have an intermediate approach.
We observe that AI has tremendous untapped potential in cybersecurity, but at the same time, hackers are trying to develop their malware to beat the AI aided cybersecurity. Until we reach a point where our AI can successfully restrict the malware completely, we must resort to practices that combine traditional methods along with AI aided ones.
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