| |APRIL 20258FUTURE OF CYBERSECURITY: AI-POWERED THREAT DETECTION & RESPONSEParag Deodhar, Managing Director-Internal Audit, Global IT Audit Lead, Accenture and Key Advisory Council Member, CyberSec India ExpoParag is a risk management professional with a keen interest in cybersecurity, AI, operational risk, and fraud risk management. He has over 25 years of experience in multinational companies across different industries and has held leadership roles like Chief Risk Officer and Chief Information Security Officer. He also plays a critical role as a key member of the advisory council at the CyberSec India Expo.istorically, in the cybersecurity world, threat actors have often been two steps ahead of the defenders. With the recent advent of open-source tools like Machine Learning (ML) and Artificial Intelligence (AI), the attackers seem to have now taken a significant lead. Cybercriminals have leveraged Generative AI to pivot the sophistication, speed, and scale of attack vectors exponentially. Traditional security measures cannot match the continuously evolving onslaught of attacks, but the use of AI in cybersecurity applications can be an inflection point in how we tackle cybersecurity challenges.The Growing Complexity of Cyber ThreatsAs the world is moving towards hyper-connectivity with cloud, APIs, and Internet-of-everything (IoE), the threat actors are getting the advantage of an ever-expanding attack surface. The sheer number of vulnerabilities and misconfigurations across these interconnected systems is the biggest challenge faced by security professionals, as remediation becomes an impossible task without impacting the business operations. Additionally, detecting incidents, weeding out false positives, and investigating and mitigating real attacks are taking a toll on security professionals. With the fast adoption rate of AI technology in business applications, the number of AI-based threats are adding fuel to the fire.Another key driver of this complexity is the increase in state-sponsored attacks and organized cybercriminal groups, which have substantial resources at their disposal and are investing in highly advanced technologies. AI enables the automation of attacks and provides greater scale and precision, enhancing adversarial capabilities. AI-based tools like Worm-GPT and Fraud-GPT, are available on the Dark-Web for a fee, are leveraged by the attackers to develop new techniques to attack and evade detection at an unprecedented scale.How AI Enhances Threat DetectionDetection of threats involves analyzing vast amounts of data and alerts from a large number CIO SpeaksParag Deodhar, Managing Director-Internal Audit, Global IT Audit Lead, Accenture and Key Advisory Council MemberH
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