Key Findings, Conclusion and Recommendations of Security Services Fueling Growth for MSPs

It’s well known that many SMBs lack advanced security expertise. While many have some security tools in place, those tools rarely work together, often provide minimal protection, are not fully deployed or outdated, which creates significant security gaps. MSPs are strategically positioned to help SMBs with their security needs and to take advantage of a quickly growing market.

To better understand the dynamics and opportunities surrounding security services in the SMB space, 451 Research conducted two global custom surveys:

  • The first targeting 1,700 SMBs about the current state of cybersecurity services they consume to protect organization.
  • The second targeting 1,000 MSPs about the security services they deliver to the SMB market, as well as the pain points they experience.

This article examines those responses to look at both the challenges and opportunities that service providers face with respect to delivery security services to SMBs. Topics covered include:

  • The SMB security challenge: overconfident and under-protected.
  • The growing SMB security opportunity.
  • MSPs stepping up their security game.
  • Key opportunities, challenges, and solutions for MSPs.
  • Conclusion and recommendations.
White Paper: Security Services Fueling Growth for MSPs
White Paper: Security Services Fueling Growth for MSPs

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Security Related Questions When Migrate to Office 365 Cloud Services

The cloud has changed the game for IT, opening up a wealth of new apps and services that drive up productivity while keeping costs down. But migrating to cloud platforms like Office 365 creates an entirely new set of security challenges. But moving to Office 365 needn’t keep you up at night. Learn how to safely deploy Office 365 and other cloud services.

Security Related Questions When Migrate to Office 365 Cloud Services

This article outlines the key factors for a successful and secure cloud migration, including:

  • Why you should re-evaluate your security posture for the cloud era
  • How new technology is helping businesses stay protected and compliant in the cloud
  • How to ensure your cloud migration is cost effective, as well as safe

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How Artificial Intelligence (AI) and Machine Learning (ML) Improve Software Quality

Testing practices have changed over the last four decades to keep up with technology and fast-paced software development. Today companies are investing more and more in artificial intelligence (AI) and machine learning (ML) to stay ahead.

How Artificial Intelligence (AI) and Machine Learning (ML) Improve Software Quality

Software development is riddled with challenges and many are already developing AI-based solutions for those problems. This article which was written by leading experts in AI and ML to bring you the latest technologies and innovations in the world of software quality.

This article will discuss:

  • Today’s main challenges in releasing a high-quality product
  • How to use AI and ML to overcome these challenges
  • Where AI and ML can augment major dev and QA initiatives
  • What the future of software quality will look like
  • Current challenges in releasing high-quality products
  • Measuring Software quality in the AI world
  • The Future of Software Quality

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Common Mistakes and How to Avoid When Transition to CI/CD Pipeline

CI/CD, BDD, ATDD, DevOps, Agile, Continuous Testing—however you want to do it, companies today are all striving for faster release cycles and higher quality software.

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We’ve identified eight common mistakes that teams make during the transition that you can avoid while embarking on your own transition related to team culture, processes, expectation setting, and more.

AI Based Testing: The Future of Test Automation

In this digital era, organizations are forced to trade off between faster time to market and flawless user experience. In this article, we will discuss:

  • How AI is impacting software testing
  • The current challenges with test automation
  • How AI can help solve these challenges
  • How testers and developers can embrace AI
  • The future of test automation

AI Based Testing: The Future of Test Automation
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Case Study: How Home Automation IoT Company Reduced ASIC Manufacturing Testing Cost

Delivering an ASIC-based product to the consumer market is always challenging. Manufacturing costs must be kept down, and on-time delivery is critical. Read the case study and learn how digitalSTROM, an ioT company delivering home automation solutions was able to:

  • Cut ASIC manufacturing costs
  • Deliver products on time to distributors
  • Ensure high quality and reliability of its custom chip
  • Handle peak demands in short notice

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