Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Modern enterprise complexity is challenging cybersecurity programs. The broadening distribution of applications and employees away from traditional corporate locations is creating networking and security vulnerabilities and opening the enterprise up to cyberthreats. How do security professionals think SSE and SASE can best address this new reality?
Find out in this Report from TechTarget’s Enterprise Strategy Group (ESG). Senior analyst John Grady surveyed 390 cybersecurity professionals with the aim of better understanding the experiences of security adopters of SASE/SSE.
Read the Report and learn what other cybersecurity professionals say are:
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