Frost Radar™: Endpoint Security, 2023
A Benchmarking System to Spark Companies to Action - Innovation that Fuels New Deal Flow and Growth Pipelines
04-Oct-2023
Global
Frost Radar
For the purposes of this research, an endpoint is a physical device that connects to a network system. This includes desktop computers, laptops, mobile devices, virtual machines, servers, and IoT devices.
Endpoints are the most vulnerable and exploited part of any network. The average organization manages thousands of endpoints accessing its corporate network. Across industries and companies of various sizes, IT leaders must manage a rapidly growing number of endpoints. This is partly due to employees using personal devices to conduct business.
Endpoint security is typically host-based. It protects computing devices such as laptops, desktops, tablets, servers, and smartphones from malware, cyberattacks, and unwanted applications. IoT device endpoints must also be secured.
Market competitors deliver endpoint security solutions which protect devices from a wide range of threats by ensuring healthy device posture and preventing device exploitation.
Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™ considering their strengths and the opportunities that best fit those strengths.
This Frost Radar™ analyzes the endpoint security industry, focusing on vendors providing solutions to address the evolving threat landscape. These solutions provide the first line of defense to protect corporate networks.
Endpoint Security 2023
- Endpoint Security
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Deliverable Type | Frost Radar |
---|---|
Industries | Information Technology |
No Index | No |
Is Prebook | No |
Keyword 1 | Cybersecurity trends and forecasts |
Keyword 2 | Security market outlook |
Keyword 3 | Endpoint security industry analysis |
Podcast | No |
WIP Number | K92D-01-00-00-00 |