EMA recently published primary research on the topic of “Adopting Effective Solutions in Endpoint Detection and Response,” which included a detailed comparison of two of the most popular platforms on the market today: Tanium and 1E Tachyon. Put simply, Endpoint Detection and Response (EDR) solutions represent a classification of management tools designed to proactively provide the holistic visibility and rapid automation necessary to respond to endpoint security threats and administration requirements in real-time. The purpose of the evaluation was to provide an example of how to conduct a side-by-side comparison of EDR solutions in order to determine the optimal platform for meeting current endpoint management requirements.
One of the most enlightening conclusions to be revealed in our evaluation results is the importance of adopting solutions and best practices that address the existing problems of today as well as the emerging problems of tomorrow. While this may seem like an obvious assertion, market messaging from legacy solution providers has apparently been creating a good deal of confusion among prospective buyers. To help set the record straight, here are the top three most significant challenges to supporting endpoint devices today. Each of these have been consistently called out as business priorities in EMA’s various survey-based research and end user case studies:
In EMA’s evaluation, Tanium was revealed to lack many of the key capabilities required to meet these modern requirements. This is not really a surprise considering that the platform’s introduction predates that of the iPhone and the subsequent mobile and cloud revolutions. As a consequence, Tanium’s fundamental P2P architecture was only designed to support static, immobile PCs and lacks key integration and orchestration functionality. By comparison, 1E Tachyon is a more recent edition to market that was purpose-built to address today’s more challenging enterprise endpoint management requirements. Detailed results of EMA’s independent and objective analysis can be found the research report or viewed in an online webinar I hosted on topic.