INE Security Alert: Using AI-Driven Cybersecurity Training to Counter Emerging Threats

Harnessing a powerful hands-on lab platform, cutting-edge technology, a global video distribution network, and world-class instructors, INE Security is the top training choice for Fortune 500 companies worldwide for cybersecurity training in business and for IT professionals looking to advance their careers, offering both Red Team training and Blue Team training. As Artificial Intelligence (AI)-powered cyber threats surge, INE Security, a global leader in cybersecurity training and certification, is launching a new initiative to help organizations rethink cybersecurity training and workforce development. To close the cybersecurity skills gap and help professionals work effectively with AI, INE Security is working to expand its AI-driven training programs. AI-driven security tools are improving the signal-to-noise ratio, making Security Operations Centers (SOCs) more efficient by reducing false positive alerts—an area cybersecurity tools have been refining for over a decade. “Organizations that act now—by investing in security training, developing cybersecurity talent, and understanding how AI truly impacts the field—will be the ones leading the industry forward. Another concern in AI-driven cybersecurity is data privacy and security risks with large language models (LLMs). INE Security is the premier provider of online networking and cybersecurity training and certification. “The rise of AI in cybersecurity isn’t just a challenge—it’s an opportunity,” said Dara Warn, CEO of INE Security. INE Security’s suite of learning paths offers an incomparable depth of expertise across cybersecurity and is committed to delivering advanced technical training while also lowering the barriers worldwide for those looking to enter and excel in an IT career. “As AI becomes more deeply integrated into cybersecurity operations, privacy-first security architectures are crucial,” said Wallace. While some view it as buzzword hype, there is real potential for AI-driven security agents that autonomously investigate threats, adjust defenses in real-time, and improve security workflows with minimal human intervention. “By training cybersecurity professionals properly, AI can be leveraged to filter noise, reduce burnout, and increase efficiency.

This Cyber News was published on cybersecuritynews.com. Publication date: Thu, 13 Mar 2025 13:15:07 +0000


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