In turn, the cybersecurity market will benefit from two modes of growth: CISOs and cyber-risk professionals are embracing next-generation, AI-enabled security technologies. In addition, many large enterprises are still grappling with the basics—improving foundational areas such as IT asset management, vulnerability, and identity and access management., AI and ML are already transforming the way security operations centers (SOCs) deliver managed detection and response and other managed security services. By leveraging these technologies, SOCs are strengthening their MDR capabilities, operating with greater efficiency, and achieving stronger resilience in the face of ever-evolving cyber threats., Today’s security teams face many challenges—sophisticated hackers, an expanding attack surface, an explosion of data and growing infrastructure complexity—that hinder their ability to safeguard data, manage user access, and quickly detect and respond to AI security threats. IBM Security® provides transformative, AI-powered solutions that optimize analysts’ time—by accelerating ai , Enter the partnership model that’s reshaping the industry and democratising cyber-security. Managed security service providers (MSSPs) are now leveraging enterprise-grade AI-powered SOC , In response to this unprecedented challenge, AI-based cybersecurity tools have emerged to help security teams efficiently mitigate risks and improve security. Given the heterogeneity of AI and cybersecurity, a uniformly accepted and consolidated taxonomy is needed to examine the literature on applying AI for cybersecurity., For example, IBM’s managed security services team used these AI capabilities to automate 70% of alert closures and speed up their threat management timeline by more than 50% within the first .