Home Archives for Daniel Pienica
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.
Daniel (MSc) is a Data Scientist in Cato Research Labs at Cato Networks. Member of Cato Ctrl. Daniel has more than 5 years of industry experience in applying state-of-the-art and novel machine learning methods to the domain of cybersecurity. Daniel previously worked as a data scientist at cybersecurity startup Intezer.
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