Gartner outlines six key cybersecurity trends for 2025, emphasizing the transformative role of generative AI in data security. The focus is shifting towards protecting unstructured data, which includes text, images, and videos, rather than just structured data like databases. Additionally, managing machine identities is becoming a critical enterprise-wide concern due to the increasing use of AI technologies.
AI initiatives are being reprioritized as organizations seek more measurable impacts from their implementations. The average organization uses around 45 cybersecurity tools, highlighting the need for optimization and consolidation of these technologies. Furthermore, addressing team wellness and burnout is crucial, as many cybersecurity leaders are feeling overwhelmed by the demands of their roles.
• Generative AI will significantly change data security programs.
• Managing machine identities is now an enterprise-wide priority.
Generative AI is transforming data security by focusing on unstructured data protection.
Machine identity management is essential for securing physical devices and software workloads.
IGA processes are often manual, leaving organizations vulnerable and inefficient in compliance.
Zilla Security focuses on identity governance, highlighting the need for improved IGA processes.
BlackFog reports on cybersecurity leadership burnout, emphasizing the industry's systemic skills shortage.
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