Tag: Trend Micro

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Cloud Based Security Services Market to Witness Robust Expansion throughout the Forecast Period 2021-2026| Trend Micro, Inc. (Japan), Intel Security (US), Symantec Corporation (US), IBM Corporation (US), Cisco systems (US)

Source:-https://clarkcountyblog.com/ The report on the Global Cloud Based Security Services Market has been provided by researchers for a detailed understanding of the functioning of the market during a defined estimate period of 2021 to 2026. However, this report has inculcated a brief overview to provide better context to the reader of this report. This brief overview includes a basic definition of the product or service studied in the report. Along with that, it also includes a briefing on the primary

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IT Training Leave a comment

Trend Micro Deep Security and VMware NSX: Which cloud and data centre security solution is better?

Source:-https://www.idgconnect.com/ For decades, traditional data centres have been the most predictable and controlled infrastructure to house high-risk and proprietary assets, such as personal information, medical records, and financial information. Yet, today’s modern infrastructures allow organisations to extend their data centres into cloud services, and this change does come with a unique set of risks. Keeping these risks in check requires businesses to reassess their data centre security and even partner with a modern solution provider. However, choosing the right solution

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DevOps Leave a comment

Trend Micro Advances DevSecOps via Kubernetes Integration

Source:- containerjournal.com. Trend Micro is now making it possible to employ Kubernetes to orchestrate security scans of container images conducted by Trend Micro Deep Security, its suite of tools that rely on deep packet inspection to protect applications using a combination of firewalls, intrusion protection systems and monitoring of logs and files. Mark Nunnikhoven, vice president of cloud research for Trend Micro, says these capabilities make it possible to embed container image scanning within a DevOps pipeline at scale while simultaneously inspecting

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