Over the past few months, there has been a notable shift in conversations among chief information security officers (CISOs). Traditionally, discussions centered on conventional threat vectors and compliance frameworks. However, there is now a pressing need to integrate AI into security operations while simultaneously defending against AI-driven attacks, a more complex challenge. Statistics from Thales’s data threat report indicate that 73% of enterprises invest over $1 million annually in AI-focused security tools, even as 70% cite the rapid advancement of AI technology as a primary security concern.
Numerous recent breaches have further heightened the apprehension of security leaders. For instance, in December 2024, a security incident involving LexisNexis Risk Solutions resulted in hackers compromising a third-party platform, affecting over 364,000 personal data records. Similarly, McLaren Health Care suffered two large-scale ransomware attacks within a year, impacting 743,000 individuals. These examples illustrate the increasing sophistication and scale of threats. There is a clear need for businesses to embrace AI detection and response (AI-DR) solutions, as existing security tools struggle against AI-driven attacks. Gartner predicts that 70% of AI applications will utilize multi-agent systems within the next 2-3 years as organizations allocate significant portions of their security budgets towards AI threat response initiatives.
👉 Pročitaj original: CIO Magazine
