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Categories › Security › Best Practice - Security › Network Detection and Response
Newbie517762 Lv5  Posted 01 Jun 2023 17:06
  
Stay Ahead Of Sophisticated Threats with Sangfor Cyber Command:

Sangfor Cyber Command is a best-in-class Network Detection and Response (NDR) solution that oers organizations unprecedented visibility into their network environment, encompassing hidden threats, attacks in progress, assets including shadow IT, vulnerabilities, and risks.

- Harness the power of AI, ML, and deep learning technologies, this solution offers powerful centralized analysis and incident response capabilities to identify threats and prevent security incidents

- Conducts rapid threat investigation across the environment and adds analytics and behavioral capabilities resulting in high-fidelity alerts for more accurate threat detection and automated investigations and response

Pls find the attached file for Cyber Command Catalogue Brochure:
cyber-command-brochure_20230427 (1).pdf (1.03 MB, Downloads: 581)
 View Post Alizaan Lv2
Hi @Zonger

Network Detection and Response (NDR) is a cybersecurity approach and technology that focuses on detecting and responding to threats and malicious activities within a computer network. NDR solutions are designed to monitor network traffic and analyze it in real-time to identify potential security incidents, such as intrusions, data breaches, malware infections, or insider threats.

Here are some key features and capabilities typically associated with Network Detection and Response:

Traffic Monitoring: NDR solutions continuously monitor network traffic, capturing and analyzing data packets passing through the network. This monitoring can be done at various points within the network, such as switches, routers, or network taps.
Threat Detection: NDR solutions use advanced analytics and machine learning algorithms to detect potential threats and anomalies in network traffic. These solutions can identify known signatures of malware or suspicious behavior patterns that may indicate a security incident.
Behavioral Analysis: NDR solutions establish a baseline of normal network behavior and compare ongoing traffic against this baseline. By analyzing deviations from the baseline, these solutions can detect abnormal activities, such as unauthorized access attempts, lateral movement, or data exfiltration.
Real-time Alerts: When a potential security incident is detected, NDR solutions generate real-time alerts to notify security teams. These alerts provide details about the nature of the incident, its severity, and the affected systems or users. Prompt alerts enable quick response and mitigation actions.
Incident Investigation: NDR solutions provide tools and capabilities to investigate security incidents. Security teams can drill down into the details of an incident, analyze related network traffic, and gather evidence for further analysis or forensic purposes.
Forensic Analysis: NDR solutions often include features for forensic analysis, allowing security teams to reconstruct events and understand the full scope of an incident. This can involve examining historical network data, conducting deep packet inspections, or correlating data from multiple sources.
Integration with other Security Tools: NDR solutions can integrate with other security tools and technologies, such as Intrusion Detection Systems (IDS), Security Information and Event Management (SIEM) systems, or Endpoint Detection and Response (EDR) solutions. Integration enhances the overall security posture and enables a coordinated response to threats.
The goal of Network Detection and Response is to improve the visibility of network activity, detect threats that may evade traditional security measures, and enable a rapid response to mitigate the impact of security incidents. By monitoring network traffic and analyzing it in real-time, NDR solutions provide organizations with an additional layer of defense against advanced threats and help to proactively identify and respond to potential breaches.
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Newbie517762 Lv5  Posted 05 Jun 2023 14:09
  
The Winner is ChatGPT !
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