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Ten Keys to Better Security Data Analysis

Accenture Labs Louis DiValentin is a Cyber R&D Principal at Accenture Labs. He received a Masters of Science in Systems Engineering and Operations Research and has a background in Networks, Security, Data Science, and Big Data Platforms. He has helped develop multiple machine learning algorithms on enterprise scale datasets to enhance the threat hunt process and received multiple patents on his innovations. He has presented on security applications at a number of data science conferences and is an active member in the security community as well. His recent research focus has concentrated on the Security of AI systems from emerging attack vectors.

Strike a balance: Ensuring secure remote work without hindering productivity

The expanded remote workforce requires a balanced, secure approach to accessing data, apps, and systems. SolStock / Getty Images Remote work will be a permanent scenario for many organizations, according to the CIO Pandemic Business Impact Survey 2020. This underscores the need for policies that secure remote data access without inhibiting user productivity. “Given the paradigm shift to remote work, companies must protect their IT infrastructure including networks, application servers, and VPN access points against distributed denial-of-service attacks comprehensively on all levels and across all platforms,” says Mark Wilczek (@MarcWilczek), COO at Link 11. We asked IDG’s Influencer community of IT professionals, industry analysts, and technology experts how organizations can balance strong, secure access with user productivity needs. Striking the right balance can be a daunting task.

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