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  2. Cyber threat hunting - Wikipedia

    en.wikipedia.org/wiki/Cyber_threat_hunting

    The SANS Institute identifies a threat hunting maturity model as follows: [11] Initial - At Level 0 maturity, an organization relies primarily on automated reporting and does little or no routine data collection. Minimal - At Level 1 maturity, an organization incorporates threat intelligence indicator searches.

  3. Threat model - Wikipedia

    en.wikipedia.org/wiki/Threat_model

    OWASP pytm is a Pythonic framework for threat modeling and the first Threat-Model-as-Code tool: The system is first defined in Python using the elements and properties described in the pytm framework. Based on this definition, pytm can generate a Data Flow Diagram (DFD), a Sequence Diagram and most important of all, threats to the system.

  4. STRIDE model - Wikipedia

    en.wikipedia.org/wiki/STRIDE_model

    The STRIDE was initially created as part of the process of threat modeling. STRIDE is a model of threats, used to help reason and find threats to a system. It is used in conjunction with a model of the target system that can be constructed in parallel. This includes a full breakdown of processes, data stores, data flows, and trust boundaries. [5]

  5. OpenAI sees continued attempts by threat actors to use its ...

    www.aol.com/news/openai-sees-increasing-ai...

    According to the U.S. Department of Homeland Security, the U.S. sees a growing threat of Russia, Iran and China attempting to influence the Nov. 5 elections, including by using AI to disseminate ...

  6. AI could pose ‘extinction-level’ threat to humans and the US ...

    www.aol.com/ai-could-pose-extinction-level...

    The report, released this week by Gladstone AI, flatly states that the most advanced AI systems could, in a worst case, “pose an extinction-level threat to the human species.”

  7. Anomaly-based intrusion detection system - Wikipedia

    en.wikipedia.org/wiki/Anomaly-based_intrusion...

    Anomalies are detected in several ways, most often with artificial intelligence type techniques. Systems using artificial neural networks have been used to great effect. Another method is to define what normal usage of the system comprises using a strict mathematical model, and flag any deviation from this as an attack.

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