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Security Operations

Security Operations

Learn about the vocabulary used to describe todayโ€™s most common cyber threats, from malware and phishing to advanced persistent attacks and zero-day exploits.

Packet sniffers capture and analyze network packets to provide detailed visibility into network communications. They support network troubleshooting, traffic analysis, threat detection, digital forensics, and incident response across enterprise, telecom, critical infrastructure, and government environments, helping teams investigate suspicious activity, understand network behavior, and respond to security incidents with greater confidence.

AI agent monitoring provides continuous visibility into the actions, decisions, resource access, and network activity of autonomous AI agents. Combined with Network Detection and Response (NDR), it helps organizations detect abnormal behavior, validate AI-driven actions, and maintain governance, accountability, and operational oversight across enterprise environments.

Agentic AI Security safeguards autonomous AI agents through identity-based controls, governance, and continuous monitoring. Combined with Network Detection and Response (NDR), it provides the network visibility and trusted evidence needed to validate AI-driven actions, accelerate threat investigations, and maintain secure, accountable enterprise operations.

TLS decryption is the process of temporarily decrypting encrypted Transport Layer Security (TLS) traffic so Network Detection and Response platforms, next generation firewalls, secure web gateways, IDS/IPS, and packet inspection systems can inspect it for malware, threats, and policy violations before re-encrypting traffic for secure delivery across networks safely again.

OT security is the practice of protecting industrial control systems, operational technology, and critical infrastructure from cyber threats. It encompasses security strategies, Network Detection and Response (NDR), continuous monitoring, and forensic capabilities that help organizations detect attacks, strengthen cyber resilience, and maintain safe, reliable industrial operations.

User and Entity Behavior Analytics (UEBA) identifies suspicious activity by analyzing behavioral patterns across users, devices, and applications. Combined with Network Detection and Response (NDR), it helps security teams correlate behavioral anomalies with network activity, improving threat detection, accelerating investigations, and enhancing visibility across the enterprise environment.

EDR (Endpoint Detection and Response) helps organizations detect, investigate, and respond to threats targeting endpoint devices through continuous monitoring and behavioral analysis. When integrated with NDR, EDR provides broader visibility into attacker activity, enabling security teams to identify threats faster, accelerate investigations, and strengthen modern cyber defense.

Extended Detection and Response (XDR) is a cybersecurity technology that integrates and correlates security telemetry across endpoints, networks, cloud environments, identities, and Network Detection and Response (NDR) systems to detect, investigate, and respond to threats. By unifying visibility across the attack surface, XDR helps organizations improve threat detection, accelerate investigations, and strengthen security operations.ย 

Security Orchestration, Automation and Response (SOAR) enables organizations to automate investigations, orchestrate security workflows, and coordinate incident response across multiple security technologies. Integrated with SIEM, XDR, and NDR solutions, SOAR helps security teams improve operational efficiency, accelerate response times, and strengthen overall security operations.