Research Reveals Organizations Falling Behind in Cybersecurity Analytics and Operations Despite Business Pressure to Improve

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Cybersecurity Analytics and Operations

DFLabs announced today the release of new research from Enterprise Strategy Group (ESG), commissioned by DFLabs and other technology vendors, which shows that when it comes to the evolution of Cybersecurity Analytics and Operations, 71% of respondent organizations find it more difficult today than it was two years ago due to the changing threat landscape, followed by volume of alerts and increased regulatory changes. “Despite businesses making it a priority, there is great confusion on how to make sense of and integrate Security Analytics and Operations. Most organizations are dealing with 10 to 25 technologies ranging from SIEMs, vulnerability assessment, endpoint detection, threat intelligence and user behavior to incident response. They are challenged with the total cost of operations and spending too much time on emergency issues,” said Jon Oltsik, Senior Principal Analyst, ESG.

This research validates our vision for Supervised Active Intelligence (SAI)™. By giving customers a path from machine-to-human to machine-to-machine operations, we gradually guide them on the maturity curve to full automation and orchestration – without losing the element of human control,” said Dario Forte, CEO, DFLabs. “Based upon an innovative machine learning and incident correlation engine, DFLabs offers a force multiplier solution that helps security operations and incident response teams quickly orchestrate the triage, containment, reporting, and remediation of data breaches and other cyber incidents.”

Surveying 412 IT professionals and cybersecurity professionals across a broad range of industry verticals, the multi-client research, titled “Next Generation Cybersecurity Analytics and Operations Survey,” seeks to better understand the evolution of the market including requirements, skills, challenges, and technology adoption plans.

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