Most Companies Can't Handle Cybersecurity Alone

The way to detect and neutralize determined cyber attackers is with 24/7 eyes-on-glass delivered by expert security operations professionals. These highly skilled operators have never been more critically urgent. Few organizations, however, have the right tools, people, infrastructure, and processes in-house to do this on their own. Global cybersecurity workforce shortages complicate the challenge, increasing risk and exposure to potential attacks for those without the necessary, on-demand resources. CSaaS is a security model where organizations leverage outside specialists to fulfill critical cybersecurity needs — such as around-the-clock threat monitoring. By outsourcing or augmenting IT teams to include managed cybersecurity services, organizations can more effectively mitigate attacks before they cause damage.

Complimentary Cloud Migration Consultation

Migrating to the cloud is stressful, no matter the size of your organization. A cloud migration can be stress-free with expert guidance from an experienced cloud provider. We have the experience, the strategies and technology solutions to help your cloud migration succeed. Schedule a complimentary Coud Migration Consultation today.

IBM Security 2023 Cost of a Data Breach Report

IBM's 2023 Cost of a Data Breach Report — conducted by Ponemon Institute and sponsored by IBM— examines the root causes and both short-term and long-term consequences of data breaches. The report includes information from 553 organizations impacted by data breaches that occurred between March 2022 and March 2023 and explores the various factors and technologies that either limited or increased the costs of a breach. Download the report and learn what works, and doesn't, in preventing data breaches.

Building a Foundation for AI Success: A Leader's Guide

You can foresee a future where your organization reaches new heights with the help of a generative AI solution, but how do you get there? Download this perceptive eBook to find out how to actively plan your AI strategy across the business and build a foundation for building sustainable value with your AI solution.

Fannie Mae Builds Productivity and Data Safety with Microsoft Security and Data Protection Solutions

Fannie Mae, the U.S. organization that facilitates mortgage financing, collects and analyzes massive amounts of data to make decisions. Much of that data is highly sensitive information about its customers. To protect that data, as well as make it accessible for analysis, Fannie Mae relies on Microsoft's Azure platform, Microsoft Purview Data Loss Prevention and Microsoft Defender for Cloud Apps. This customer explains why and how Fannie Mae relies on the cloud-native Azure platform and Microsoft security solutions to safeguard critical data. Read it here.

Top insights and best practices from the new Microsoft Data Security Index report | Microsoft Security Blog

Data security is a constant concern of CISOs and business executives. To better understand the security issues, Microsoft partnered with the independent research agency Hypothesis Group to conduct a multinational survey involving more than 800 data security professionals. Our collaborative effort has resulted in the publication of the Data Security Index report, designed to offer valuable insights into current data security practices and trends. Moreover, it aims to identify practical opportunities for organizations to enhance their data security efforts. In this article, you'll learn some of the key findings from the report, including: - Data security incidents remain frequent - Vulnerabilities manifest in various dimensions due to a diverse set of factors - How a fragmented solution landscape can weaken an organization's data security posture

INSPIRE Environmental

Determining the health of the seafloor is critical when preparing offshore wind and other ocean construction projects. Read this thought-provoking customer story about how INSPIRE Environmental uses Microsoft Azure solutions that can streamline the analysis and processing of complex ocean data so that seafloor images are interpreted more quickly and efficiently.