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double-edged sword in AI: A the cybersecurity landscape

PCQuest

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september 2024

Al is revolutionizing cybersecurity, offering advanced tools to defend against threats while also being exploited by attackers. Experts at CyberHoax discussed the benefits and risks of Al, emphasizing the need for ethical Use, human oversight, and robust security to stay ahead in an evolving landscape

- Aanchal Ghatak

double-edged sword in AI: A the cybersecurity landscape

In the age of digital transformation, artificial intelligence (AI) has become a powerful force in shaping the cybersecurity landscape. As cyber threats grow more sophisticated, organizations are turning to AI-driven solutions to help them predict, detect, and neutralize potential attacks. However, with great power comes great responsibility, and AI’s involvement in cybersecurity is no exception. The recent panel discussion at CyberHoax, featuring industry experts such as Harshil Doshi, Country Director - India at Securonix, and Vineet Kumar, Founder & Global President of CyberPeace Foundation, Moderated by Ashok Pandey, Associate Editor at PCQuest and Senior Manager (Technology Analyst) at CyberMedia Labs, brought this duality into sharp focus. The conversation explored the promises and perils of AI, shedding light on its role in both defending against and perpetrating cyberattacks.

▾ The Promise and Perils of AI in Cybersecurity

AI holds the potential to revolutionize cybersecurity by automating threat-hunting, analyzing vast datasets in real-time, and detecting anomalies that signal impending attacks. This is especially beneficial in environments with massive data flows, where human teams might struggle to identify threats manually.

Benefits of AI:

• Automation and Efficiency: AI automates repetitive tasks like threat detection and incident response, freeing security professionals to focus on strategic functions.

• Predictive Capabilities: AI enables organizations to predict potential attacks by analyzing behavioral patterns and recognizing emerging threats before they Occur.

• Prioritization: AI excels at sifting through hundreds of security alerts, identifying and prioritizing the most critical threats, which helps reduce alert fatigue.

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