Endpoint detection and response

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Endpoint detection and response (EDR), also known as endpoint threat detection and response (ETDR), is a cyber technology that continually monitors and responds to mitigate cyber threats.[1][2][3]

History[edit]

In 2013, Anton Chuvakin of Gartner coined the term "endpoint threat detection and response" for "tools primarily focused on detecting and investigating suspicious activities (and traces of such) other problems on hosts/endpoints".[4] Now, it is commonly known as "endpoint detection and response".

According to the Endpoint Detection and Response - Global Market Outlook (2017-2026) report, the adoption of cloud-based and on-premises EDR solutions are going to grow 26% annually, and will be valued at $7273.26 million by 2026.[5] According to the Artificial Intelligence (AI) in Cyber Security Market report by Zion Market Research, the role of machine learning and artificial intelligence will create a $30.9 billion cyber security market by 2025.[6][7]

In 2020, source code for a widely-used EDR tool was made available by Comodo Cybersecurity as OpenEDR.[8] The Commons Clause license they applied makes it available for free and more trustworthy, but explicitly does not claim to meet the commercial reuse requirements of open-source.[9]

Concept[edit]

Endpoint detection and response technology is used to protect endpoints, which are computer hardware devices, from threat. Creators of the EDR technology based platforms deploy tools to gather data from endpoint devices, and then analyze the data to reveal potential cyber threats and issues. It is a protection against hacking attempts and theft of user data. The software is installed on the end-user device and it is continually monitored. The data is stored in a centralized database. In an incident when a threat is found, the end-user is immediately prompted with preventive list of actions.[10][11]

Every EDR platform has its unique set of capabilities. However, some common capabilities include the monitoring of endpoints in both the online and offline mode, responding to threats in real-time, increasing visibility and transparency of user data, detecting store endpoint events and malware injections, creating blacklists and whitelist, and integration with other technologies.[1][10]

See also[edit]

References[edit]

  1. ^ a b "EDR Security and Protection for the Enterprise". Cynet. Retrieved 2019-09-29.
  2. ^ "What is Endpoint Detection and Response (EDR)? - Definition from Techopedia". Techopedia.com. Retrieved 2019-09-29.
  3. ^ "Endpoint Detection and Response (EDR) - What is EDR and why is it important? - Definition from Cyberpedia". Palo Alto Networks. Retrieved 2021-09-03.
  4. ^ Chuvakin, Anton (2013-07-26). "Named: Endpoint Threat Detection & Response". Gartner Blog Network. Retrieved 2019-09-16.
  5. ^ "Global $7.27 Bn Endpoint Detection and Response Market to 2026". finance.yahoo.com. Retrieved 2019-09-24.
  6. ^ Research, Zion Market (2019-08-28). "Artificial Intelligence (AI) In Cyber Security Market Will Reach to USD 30.9 Billion By 2025: Zion Market Research". GlobeNewswire News Room. Retrieved 2019-10-10.
  7. ^ "10 Ways AI And Machine Learning Are Improving Endpoint Security". Business 2 Community. Retrieved 2019-10-10.
  8. ^ Cimpanu, Catalin. "Comodo open-sources its EDR solution". ZDNet. Retrieved 2020-11-14.
  9. ^ "Commons Clause License". Commons Clause License. Retrieved 2020-11-14.
  10. ^ a b "What is endpoint detection and response (EDR)? A definition by WhatIs.com". SearchSecurity. Retrieved 2019-09-29.
  11. ^ "What Is EDR? | A Brief Definition of Endpoint Detection and Response". Comodo News For Enterprise Security. 2019-03-06. Retrieved 2019-09-29.