The use of generative AI in cybersecurity has become an important area for reinforcing security measures in today’s digital world noted by Bahaa Al Zubaidi. It brings a plethora of advantages from swift protection against attacks to precise forecasting of threats. Generative AI has enjoyed popularity in the last year owing largely to its nature of autonomous generation of original contents in the form of image, text, audios and videos. In the next 10 years, the market value for the use of generative AI in cybersecurity is projected to grow steadily and reach a whopping $2700 million.
Cyber tech experts who work with generative AI make use of ChatGPT and LLM tools to bolster their security solutions and shield against data leaks. Generative AI tools are known for their evolutionary technologies that continuously study threats, analyse vulnerable areas in defense, behavior of attacks and indicators of prospective cyberattacks.
Areas where generative AI is helping cybersecurity measures
Following are the key areas of cybersecurity that will greatly benefit from the use of generative AI.
Biometric
Generative AI when combined with biometric technologies becomes an impenetrable tool against attackers. Generative AI helps by using facial, vocal or fingerprint biometric tech to understand how attackers might possibly create fake biometric data in hacking attempts. By doing this, it helps organizations be more prepared and thwart such real-time attacks on user data.
Nuanced ability to detect threats
There is no match today in the field of cybersecurity to that of generative A.I. where nuanced identification of cyber threat is concerned. It has the capability to detect minute anomalies that go unnoticed by its predecessors. It constantly monitors digital activity and notices everything from sudden spikes in activity to the littlest differences in the behaviors of users.
Researching malwares
With the help of generative AI, cyber tech researchers are able to simulate malwares and their behavior. Generative AI is used in generation of malwares that are artificially engineered to impact existing security systems. This research data will be crucial to learn their interaction and attack behaviors to protect against the same.
Evolving cybersecurity measures
The biggest advantage of using generative AI in the field of cybersecurity is that it employs the finest and most precise threat discernment. It does it on a generative basis, meaning it constantly learns from observing past and present scenarios in order to predict the future outcomes. It suggests an evolving course of action and strategy to ward off cyber attacks.
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