IA ThreatCloud

Introducing ThreatCloud Graph: A Multi-Dimensional Perspective on Cyber Security, Focused on Proactive Prevention of Emerging Threats

  • Holistic Threat Prevention: ThreatCloud Graph goes beyond standalone threats, analyzing relationships between entities to provide a multi-dimensional view of cyber threats with a strong focus on prevention.
  • Graph Patterns and Attack Insight: ThreatCloud Graph identifies unique patterns of relations between entities, offering insights into malicious activities such as DNS poisoning attacks.
  • Preventing Zero-Day Threats: Leveraging ThreatCloud AI’s knowledge, ThreatCloud Graph aims to prevent emerging threats by establishing the reputation of URLs, domains, and IPs based on their relations to previously known malicious artifacts, such as common IP addresses, registrars, and name servers.

 

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Main Benefits:

    1. Holistic Threat Prevention: ThreatCloud Graph offers a comprehensive view of cyber threats by analyzing the relationships between various entities, such as URLs, IPs, and domain names. This approach goes beyond examining standalone threats, providing a multi-dimensional perspective that focuses on proactive prevention. This holistic perspective allows for a deeper understanding of how threats are interconnected and how they operate within larger networks and campaigns.
    2. Graph Patterns and Attack Insight: By identifying unique patterns of relations between different cyber entities, ThreatCloud Graph provides valuable insights into malicious activities. This feature is particularly useful in detecting and understanding complex attacks like DNS poisoning. The ability to recognize these patterns and links between common entities facilitates the early detection and prevention of sophisticated cyber threats, enhancing overall security.
    3. Preventing Zero-Day Emerging Threats: Leveraging the knowledge of ThreatCloud AI, ThreatCloud Graph is adept at preventing emerging threats, including zero-day attacks. It establishes the reputation of URLs, domains, and IP addresses based on their relations to previously known malicious artifacts. This preemptive approach, which does not rely solely on detected malicious content, allows for the early identification and blocking of potential threats, ensuring robust protection against the most advanced and emerging attacks.

ThreatCloud Graph’s innovative approach in analyzing the interconnected web of relationships in the cyber threat landscape provides a powerful tool for proactive threat prevention, insightful attack detection, and robust defense against zero-day threats.

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