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  Published Paper Details:

  Paper Title

ARTIFICIAL INTELLIGENCE TOOLS ARE REVOLUTIONIZING THREAT DETECTION AND RESPONSE

  Authors

  Aditya Haridas Jadhav,  Gayatri Sugreev Bagal,  Suhas Babasaheb Pakhare

  Keywords

Artificial Intelligence, Threat Detection, Cybersecurity, Machine Learning, Automated Systems

  Abstract


The purpose of this exploration paper is to examine the effect of AI on cybersecurity strategies by assaying told designs, current approaches, and over- and- coming conceivable issues, driving progressive viability and versatility against cyber troubles. Indian enterprises defy multitudinous hurdles when using AI- AI-grounded cybersecurity results. The fast proliferation of cyber pitfalls, similar to ransomware, phishing, and malware attacks, has made cyber security a crucial issue in India, which ranks 11th encyclopedically in terms of original cyberattacks. still, a lack of specialized capability, moxie, and collaboration among other countries' authorities is a significant hedge to effectively suppressing these pitfalls. likewise, resolvable AI(XAI) is critical in cybersecurity since standard AI models constantly warrant translucency in decision-making processes, making it delicate to trace the logic behind specific acts. likewise, carrying a sufficient library of approved images for training AI models to sludge unequivocal content online highlights the difficulties in using AI interfaces for cybersecurity purposes. Addressing these challenges through enhanced specialized capabilities, skill development, and XAI perpetration is essential for Indian associations to bolster their cybersecurity defenses effectively.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2407998

  Paper ID - 266900

  Page Number(s) - i877-i890

  Pubished in - Volume 12 | Issue 7 | July 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aditya Haridas Jadhav,  Gayatri Sugreev Bagal,  Suhas Babasaheb Pakhare,   "ARTIFICIAL INTELLIGENCE TOOLS ARE REVOLUTIONIZING THREAT DETECTION AND RESPONSE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 7, pp.i877-i890, July 2024, Available at :http://www.ijcrt.org/papers/IJCRT2407998.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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