AI-Driven Cybersecurity Threats and Defenses
The rise of AI in cybersecurity has brought about both significant advancements and new challenges. AI-driven threats include sophisticated phishing attacks, automated vulnerability scanning, and the deployment of malware capable of learning and adapting to security measures. These threats leverage AI to exploit system weaknesses at unprecedented speeds. On the defense side, AI aids in threat detection, automating responses, and predicting potential vulnerabilities. Machine learning algorithms analyze vast amounts of data to identify anomalies and recognize patterns indicative of cyber threats. While AI enhances the ability to safeguard digital infrastructures, it also necessitates continuous innovation to stay ahead of increasingly intelligent cyber threats.
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YERRA VENKAT PRAVEEN MALLIK
YERRA VENKAT PRAVEEN MALLIK
I am currently pursing my undergraduate degree in computer Science ay KL Deemed to University .Specializing in AI for Computational and I have a strong background as a front-end web developer, where I've honed my skills in HTML, CSS, JavaScript, and various frameworks like React and Angular. In addition to my web development expertise, I'm also skilled in using CapCut Pro for video editing, which has allowed me to explore creative projects and add a visual storytelling element to my work. I'm always eager to take on new challenges and continue growing in these fields.