Network Detection and Response

EDR vs. NDR vs. XDR: Learn why NDR is the backbone of modern security, detecting lateral movement and threats endpoint tools miss.

Discover key differences between NDR and EDR, why both matter for cybersecurity, and how NDR delivers unmatched visibility to stop advanced threats. 

Packet Capture (PCAP) is the process of intercepting and logging network traffic as it passes through a digital network. At its core, PCAP records the raw data packets, the smallest units of communication across networks, allowing administrators, analysts, and security tools to analyze them for performance monitoring, troubleshooting, and threat detection. 

Machine Learning (ML) is a powerful subset of Artificial Intelligence (AI) that enables systems to learn from data, identify patterns, and make intelligent decisions without being explicitly programmed.

Heuristic analysis is a cybersecurity detection method that focuses on uncovering malicious activity by evaluating programs, files, or network behaviors for suspicious characteristics or actions, rather than just matching them to a database of known malware signatures.

Signature-based detection is a foundational method in cybersecurity used to identify and mitigate malicious threats based on unique identifiers or “signatures.” These signatures are distinctive patterns, such as byte sequences, code fragments, command strings, or behavioral footprints that are characteristic of specific malware, attack methodologies, or vulnerabilities.  

Anomaly detection is the process of identifying data points, events, or patterns that deviate significantly from what is considered normal or expected behavior. These unusual observations are often referred to as anomalies.  

Behavioral analytics is the study of user and system activity patterns over time. It analyzes what users typically do, when they log in, what files they access, what commands they run and then watches for abnormal behavior that could indicate a threat. 

A Security Operations Center (SOC) is a centralized unit responsible for managing an organization’s information security. It combines people, processes, and technologies to protect digital assets through continuous monitoring, threat detection, and incident response.

Think of the SOC as the nerve center of your organization’s cybersecurity posture, a command center where skilled analysts oversee real-time threats and orchestrate swift defensive actions.

Network packet capture is the process of recording data packets as they travel across a network. It is used to troubleshoot performance issues, monitor traffic, and detect security threats. 

Entity Behavior Analytics (EBA) is a next-generation cybersecurity approach that uses machine learning, statistical models, and advanced analytics to monitor and understand how non-human actor such as servers, cloud resources, IoT devices, applications, and service accounts normally behave.

Security Information and Event Management is a cybersecurity solution that helps organizations detect, investigate, and respond to security threats in real time. SIEM works by collecting and analyzing data (logs and events) from across an organization’s IT infrastructure like firewalls, servers, applications, and endpoints.

Network Detection and Response (NDR) is a cybersecurity solution that continuously monitors network traffic in real time to detect malicious activities.