// THREAT DETECTION AND DATA PRIVACY TERM

Detection

Detection in cybersecurity refers to the process of identifying potential security threats, vulnerabilities, or actual security incidents within a system or network. It's the first step in recognizing that something might be wrong.

Detection — illustration from Wikipedia
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TECHNICAL DEFINITION

Detection is the critical initial phase in cybersecurity incident response, involving the proactive identification of anomalous activities, malicious intrusions, and security policy violations across IT infrastructure utilizing monitoring systems, threat intelligence, and security tools to generate alerts indicative of potential cyber threats or vulnerabilities requiring further investigation by security operations.

BACKGROUND

Computer security is a subdiscipline within the field of information security. It focuses on protecting computer software, systems, and networks from threats that can lead to unauthorized information disclosure, theft, or damage to hardware, software, or data, as well as to the disruption or misdirection of the services they provide.

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SYNONYMS & ALIASES

  • Threat Detection
  • Anomaly Detection
  • Intrusion Detection
  • Security Monitoring
  • Alerting

USAGE NOTE

Effective detection capabilities are crucial for minimizing dwell time and responding promptly to cybersecurity incidents.

DEVELOPERS

Organizations developing technology related to Detection.

  • CrowdStrike

    Specializes in endpoint detection and response (EDR) and extended detection and response (XDR) platforms, leveraging AI and behavioral analytics to detect sophisticated threats on endpoints and across the enterprise.

  • Palo Alto Networks

    Develops a broad portfolio of cybersecurity solutions, including next-generation firewalls, cloud security, and XDR platforms that provide advanced threat detection across network, endpoint, and cloud environments.

  • Splunk

    Provides a leading Security Information and Event Management (SIEM) platform, Splunk Enterprise Security, which enables real-time monitoring, correlation, and detection of security threats through data aggregation and analysis.

  • Microsoft Security

    Offers a comprehensive suite of security solutions, including Microsoft Defender for Endpoint, Cloud, and Identity, which utilize vast telemetry and AI to detect and respond to threats across various attack surfaces.

  • SentinelOne

    Focuses on AI-powered endpoint protection and XDR, providing autonomous threat detection, prevention, and response capabilities across endpoints, cloud workloads, and IoT devices.

  • Fortinet

    Develops high-performance network security solutions, including intrusion detection and prevention systems (IDPS), next-generation firewalls, and Security Fabric, which provide comprehensive threat detection at the network edge and core.

  • Mandiant (now part of Google Cloud)

    A leader in cyber security incident response and threat intelligence, Mandiant provides advanced threat detection and analysis services, helping organizations identify, investigate, and respond to cyber attacks.

  • IBM Security

    Offers QRadar, a prominent SIEM platform that leverages AI and machine learning to detect advanced threats, anomalies, and policy violations across an organization's IT infrastructure by correlating security events.

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