- 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.
- 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.
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.
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