EDR & XDR – a new approach to endpoint security
Produkty
Bezpieczeństwo IT 
Infrastruktura IT i OT 
EDR & XDR – a new approach to endpoint security
Today’s digital age brings not only numerous benefits but also new challenges in terms of data and IT systems security. Companies and institutions around the world are faced with increasingly complex and sophisticated threats from cyber criminals. Therefore, a key aspect of maintaining security is the effective protection of end devices. In response to these challenges, EDR (endpoint detection & response) and XDR (extended detection & response) technologies are gaining popularity.
What is EDR?
Endpoint Detection & Response (EDR) is an advanced technology that enables monitoring, analysis, and response to suspicious or malicious activity on endpoint devices. The main purpose of an EDR is to detect unknown and advanced threats that could evade traditional protection mechanisms such as anti-virus or firewalls.
EDR solutions collect huge amounts of data from endpoints, including event logs, user activity, network traffic, and much more. They then analyse this data in real time, using advanced machine learning and behavioural analysis techniques to detect suspicious patterns and behaviour. When potential threats are detected, EDRs initiate response processes, which may include isolating the infected device, removing malware, or blocking suspicious activity.
XDR technology – extended detection and response
Extended Detection & Response (XDR) is an extension of the EDR concept that goes a step further in terms of protection and response to threats. XDR is not just limited to analysing endpoint data but also integrates data from other layers of the infrastructure, such as networks, the cloud, or applications. As a result, XDR creates a more comprehensive picture of activity and interactions between different elements of the system.
XDR enables the detection of more sophisticated attacks, which can involve multiple paths penetrating the IT infrastructure. By integrating data from a variety of sources, XDR allows for a ore precise identification of suspicious events and faster response to them. This approach provides greater resilience against attacks that use the multiplexing of attack vectors.
Comparison of EDR and XDR
The main difference between EDR and XDR is the range of data they analyze and use to detect threats. EDR focuses on endpoints, while XDR covers a wider range of data sources. XDR allows for a better understanding of complex threats, which can include attacks based on multiple layers of infrastructure.
In terms of EDR and XDR solution providers, there are a number of reputable companies in the market offering these technologies. In the case of EDR, it is worth mentioning names such as CrowdStrike, Carbon Black (VMware), SentinelOne, or Bitdefender. As for XDR, companies such as Palo Alto Networks (Cortex XDR), Microsoft (Microsoft Defender Advanced Threat Protection), or FireEye are worth noting.
Summary
In the face of ever-evolving cyber threats, EDR and XDR technologies are a key part of the security strategy for companies and organizations. The choice between the two depends on the needs, budget, and level of complexity of the IT infrastructure. EDR is an excellent choice if the focus is on endpoint-level threat monitoring and response. XDR, on the other hand, offers a more expansive approach, integrating data from various sources for more comprehensive protection against advanced attacks. In both cases, it is crucial to use modern solutions to ensure cyber security is at the highest level.
Response to the challenge
Reducing the risk of threats targeting end stations and servers through the use of advanced anomaly detection mechanisms (AI, machine learning)
What can you get when implementing a solution in your organisation?
EDR analyses, monitors and records information about the operation of the system and processes on the end device. With agents deployed on the ends, it gives high visibility and knowledge of local events on workstations and servers.
Incidents
Respond to emerging incidents and data leakage
Anticipation
Predicting threats based on app reputation and vulnerability base
Forecasting
Predicting unsafe behaviour
Detection
Full attack channel detection
Blocking
Blocking of external communications when a threat is detected
