Lakshit Malhotra
Papers
1
Total Citations
9
H-Index
1
About
Lakshit Malhotra is a researcher at the forefront of applying artificial intelligence and deep learning to fortify cybersecurity. His work focuses on developing intelligent, adaptive systems that can detect, predict, and neutralize sophisticated cyber threats in real time. His most-cited paper, "Artificial Intelligence and Deep Learning-based Solutions to Enhance Cyber Security" (2021), has garnered 9 citations, establishing a foundational framework for integrating neural networks into security protocols. Malhotra’s key contribution lies in bridging the gap between theoretical AI models and practical, deployable security solutions—demonstrating how deep learning can identify anomalies and automate threat response with unprecedented accuracy. By addressing the limitations of traditional rule-based defenses, his research offers a scalable, proactive approach to protecting critical digital infrastructure. This work not only advances academic understanding but also provides actionable insights for industry practitioners seeking to combat evolving cyber risks. Malhotra’s efforts underscore a commitment to making cybersecurity more resilient through intelligent automation, positioning him as a rising voice in the intersection of AI and digital defense.
Research Focus
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Top Papers
- 1