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Debunk Machine Learning Endpoint Security Solutions

Understand the value of machine learning to your organization.

  • Threat actors are more innovative than ever before and developing sophisticated methods of endpoints attacks capable of avoiding detection with traditional legacy anti-virus software.
  • Legacy anti-virus solutions rely on signatures and hence fail at detecting memory objects, and new and mutating malware.
  • Combined with the cybersecurity talent gap and the sheer volume of endpoint attacks, organizations need endpoint security solutions capable of efficiently and accurately blocking never-before-seen malware types and variants.

Our Advice

Critical Insight

  • Don’t make machine learning a goal in itself. Think of how machine learning can help you achieve your goals.
  • Determine your endpoint security requirements and goals prior to shopping around for a vendor. Vendors can easily suck you into a vortex of marketing jargon and sell you tools that your organization does not need.
  • Machine learning alone is not a solution to catching malware. It is a computational method that can generalize and analyze large datasets, and output insights quicker than a human security analyst.

Impact and Result

  • Consider deploying an endpoint protection technology that leverages machine learning into your existing endpoint security strategy to counteract against the unknown and to quickly sift through the large volumes of data.
  • Understand how machine learning methods can help drive your organization’s security goals.
  • Identify vendors that utilize machine learning in their endpoint security products.
  • Understand use cases of where machine learning in endpoint security has been successful.

Debunk Machine Learning Endpoint Security Solutions Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to find out why you should consider machine learning in endpoint security solutions, review Info-Tech’s methodology, and understand the four ways we can support you in completing this project.

1. Demystify machine learning concepts

Understand basic machine learning concepts used in endpoint security.

2. Evaluate vendors that leverage machine learning

Determine feature requirements to evaluate vendors.


Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

Client

Experience

Impact

$ Saved

Days Saved

Clallam County

Guided Implementation

10/10

$2,460

10

We received the information we asked for and more, in a very timely manner.

Federated Co-operatives Limited

Guided Implementation

9/10

$50,000

2

Michelle was great to talk to and certainly knowledgeable and helpful. Also, she was keen enough to request that she research more on an area befor... Read More

Weston Solutions, Inc.

Guided Implementation

10/10

N/A

N/A

US Environmental Protection Agency

Guided Implementation

8/10

N/A

N/A

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Need Extra Help?
Speak With An Analyst

Get the help you need in this 2-phase advisory process. You'll receive 2 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Demystify machine learning concepts
  • Call 1: Understand basic machine learning terminology.

Guided Implementation 2: Evaluate vendors that leverage machine learning
  • Call 1: Determine feature requirements and create a request for proposal (RFP).

Author

Michelle Tran

Contributors

  • Edward Gray, Lecturer, Ivey Business School at Western University
  • Robert Miller, MIS Director, Witt/Kieffer
  • Eldon Sprickerhoff, Chief Innovation Officer, eSentire, Inc.
  • John Wethington, Principal Data Privacy Officer, MYSENSITIVEDATA.COM,INC.
  • 1 anonymous contributor
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