Newest Безопасность на основе машинного обучения Solutions for 2024

Explore cutting-edge Безопасность на основе машинного обучения tools launched in 2024. Perfect for staying ahead in your field.

Безопасность на основе машинного обучения

  • Token Security provides AI-powered solutions for risk assessment and threat intelligence.
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    What is Token Security?
    Token Security is an advanced AI agent designed to optimize cybersecurity strategies. It offers automating risk assessment processes, evaluating vulnerabilities, and generating threat intelligence reports that help organizations swiftly respond to potential threats. By leveraging data analytics and machine learning, the platform continuously improves its insights into emerging risks, ensuring that your security frameworks remain robust and proactive.
  • Detects and operationalizes threat intelligence from the web.
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    What is Cyware Threat Intel Crawler?
    Cyware Threat Intel Crawler is an innovative browser extension designed to automatically crawl the web for threat intelligence. Utilizing advanced Machine Learning and Natural Language Processing techniques, it detects potentially harmful content and operationalizes gathered threats into actionable insights. This helps organizations enhance their security protocols by understanding emerging threats in real-time, making informed decisions based on accurate data collected from vast online resources. The integration of this tool into an organization's security framework can significantly bolster its resilience against cyber threats.
  • Offensive Graphs uses AI to automatically generate attack path graphs from network data, empowering security teams with clear visualization.
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    What is Offensive Graphs?
    Offensive Graphs leverages advanced machine learning algorithms to seamlessly ingest diverse network data sources such as firewall rules, Active Directory configurations, cloud assets, and vulnerability scanner outputs. It automatically constructs comprehensive attack graphs that reveal the most effective lateral movement and privilege escalation paths an adversary might exploit. Users can interactively explore these graphs in a user-friendly web interface, apply filters by risk level or asset criticality, and drill down into detailed risk factors. The platform also prioritizes remediation tasks based on aggregated threat scores and generates customizable reports to support compliance and incident response. By automating complex threat modeling, Offensive Graphs significantly reduces manual effort while enhancing the accuracy and coverage of security assessments.
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