Tunnel Vision Is Hurting Your Security: Time to See The Forest For The Trees
When data that is critical to cybersecurity tools remains in silos, everyone loses. Each class of tool, including perimeter, internal, endpoint, network, and mobile, uses its own methodology and datasets, sometimes able to identify potential threats within its own span of visibility, but not across the entire environment. This siloed approach diminishes the value of the data and leaves organizations with incomplete visibility, significant management overhead, and uncertainty about which security tools are actually necessary to ingest and analyze the data to protect the business.
Existing tools focus on what is happening at the perimeter (SIEM), network and endpoints (UEBA), or externally (threat intelligence), without combining data to assess the true threat level to a business. For effective security, organizations need these sensor-based tools, but also a machine-learning driven sense-making solution to identify threats across all tiers and datasets.
Join David Monahan, research director of risk and security management at leading IT analyst firm Enterprise Management Associates (EMA), and Dustin Rigg Hillard, VP of engineering and co-founder at Versive, to answer the following questions:
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Duration: 60 minutes