The proliferation of endpoints in today’s enterprises is outpacing the ability of IT operations and security teams to cost-effectively manage increasingly complex environments.
Already stretched thin, teams face the daunting task of securing vast IT estates with siloed tools, stale data, and other hindrances that create the perfect “imperfect” environment for vulnerabilities. And simply adding yet another bolted-on component to an existing patchwork quilt of technology solutions is a recipe for failure.
While automation initiatives expand in multiple areas, achieving desired outcomes frequently falls short of aspirations. Regarding threat detection and response, for example, a SANS Institute survey revealed that “64% of organizations have integrated automated response mechanisms, but only 16% have fully automated processes.”
The burgeoning fragmentation of data streams and networks is a major hindrance preventing IT teams from seeing everything in their environments, which further complicates efforts to accelerate artificial intelligence (AI), machine learning (ML), and automation of processes and practices.
To realize the full benefits of AI and ML, including overcoming staffing and budget limitations, IT operations and security teams must start with refocusing on high cyber hygiene standards that result in greater efficiency and reduced vulnerabilities – the fundamentals of endpoint visibility and control, regardless of the environment’s scale.
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