Nowadays, endpoint management wields considerable power. It addresses various needs within an organization, including device oversight, compliance, operations, and security. To effectively tackle these aspects, organizations must adopt a comprehensive strategy for endpoint management, supported by the selection of suitable software and proficient deployment practices.
From 2023 to 20301, the global market for unified endpoint management is anticipated to grow at a compound annual growth rate (CAGR) of 22.4%1. This highlights the rising significance of endpoint management. Although endpoint security remains a critical concern for all enterprises, ensuring this security presents several challenges. Major factors contributing to these challenges include stringent legal requirements, evolving work environments, and continuously changing threats. Autonomous endpoint management has stepped up as a possible solution to such common endpoint management challenges, and is being implemented by organizations wanting to strengthen cybersecurity.
In this article, we will explore the primary challenges organizations face in endpoint management and discuss how autonomous endpoint management (AEM) can address these issues.
What are the Challenges Organizations Face in Endpoint Management?
Endpoint management is abound with challenges, ranging from areas of limited endpoint visibility to maintaining compliance and minimizing human error. Let’s delve into some of these issues:
Limited Visibility:
Security teams often face blind spots regarding device visibility. Factors such as geographical limitations, diverse devices, and inadequate monitoring tools contribute to this issue. Work setups like hybrid and remote work, where endpoints exist outside the organization’s security perimeter, complicate this further.
Ensuring Regulatory Compliance:
Keeping up with regulatory laws can be challenging. Although each regulation has its own requirements, most ultimately aim to restrict user access and local administrator privileges. Organizations that fail to comply with regulations risk incurring fines and losing the trust of investors and customers.
Changing Policies:
More organizations are adopting BYOD policies. Consequently, various endpoints are accessing the network and operating beyond the organization’s controlled environment. The proliferation of personal devices may lead to inadequate security measures being implemented, thus jeopardizing security.
Scope of Human Error:
Human error remains one of the leading causes of security incidents. Employees frequently become targets of attacks employing data breach and phishing strategies. Additionally, they might accidentally install unauthorized software that threatens the integrity of the network.
Resource Constraints:
Endpoint management can be particularly costly for SMEs. The investment needed for solutions, installation, maintenance, and support can significantly impact IT budgets. Expenses may increase due to the need for specialized personnel. Therefore, budget constraints present a significant barrier to effective endpoint management.
These challenges impact the endpoint management landscape. Autonomous endpoint management has emerged as a solution to cater to these challenges.
Autonomous Endpoint Management is the Path Forward
Autonomous endpoint management uses AI and automation to overcome endpoint management hurdles effectively, without human intervention. It automates routine tasks alongside real-time monitoring within an autonomous endpoint management solution framework. AEM offers greater device visibility through continuous surveillance and real-time data acquisition of endpoints. Thus, AEM helps improve compliance levels, device discovery and patching while reducing human errors. AEM is the future of endpoint management, and organizations must avail themselves of an endpoint demo to see how it can help them stay ahead of threats
