www.3133.com拉斯维加斯(股份)有限公司

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In an era of rapid digital intelligence, Security Operations Centers (SOCs) serve a vital role in safeguarding enterprise cybersecurity. However, the increasing complexity of cyber threats presents significant challenges for SOCs, including a rise in the volume of threats, escalating attack complexities, and the rise of intelligent attack methods.

When addressing security incidents and vast amounts of threat intelligence, SOCs heavily rely on the expertise of security professionals for incident response. However, with the rise of artificial intelligence, the complexity of business operational data has increased, necessitating more comprehensive technical skills and knowledge from these professionals. Rapid and accurate responses to potential security threats are essential as any delays or misreporting can result in severe vulnerabilities. Moreover, the complexities of vulnerability management and stricter compliance requirements further exacerbate the operational pressure on SOCs. To tackle these challenges, China Entercom's AI SOC utilizes cutting-edge AI capabilities to comprehensively boost SOC efficiency, delivering quicker, more precise 24/7 security analysis and monitoring for businesses.

SIEM-MiiND
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  • Enhanced Detection Capabilities: Conducts preliminary analysis of vulnerabilities and potential Indicators of Compromise (IOCs) proactively to reduce threats to enterprise networks.
  • Optimized Rule Sets: Through AI technology, detection thresholds are adjusted based on the customer's historical data and new attack scenarios, and new rule sets are automatically and continuously created for the log data of newly added devices, tailoring and fine-tuning rule sets for the customer.
  • Improved Response Capabilities: Implements an intelligent security incident detection mechanism , significantly reducing troubleshooting time and enabling actionable recommendations up to 75% faster after the initial email alert — assisting customers on minimizing losses from business disruptions. SIEM-MiiND also identifies potential threats and issues preventive alerts, lowering the risk of enterprise network attacks.
  • AI-Powered Chatbot: Provides businesses with an additional inquiry channel beyond the 24/7 hotline, enabling them to promptly and clearly understand the status of security incidents and overall security levels through both online and offline channels, under a secure authentication login mechanism.
  • User-Friendly Security Dashboard: Offers a fully visualized interface that consolidates various security metrics and statistical reports, enabling enterprises to comprehensively monitor their latest cybersecurity status.
Highlights
      • Faster Data Analysis – Leveraging proprietary large language models (LLMs) of security analysis to enable rapid retrieval and analysis of massive log data, significantly improving SOC team efficiency.
      • Secure Data Handling – Enterprise data is transmitted to China Entercom's self-built and managed 24/7 SOC and self-managed LLM for correlation and analysis, ensuring full data security.
      • More Accurate Threat Detection – Through detailed and customerized "prompt engineering" to meet the specific security needs of different customers, we fully leverage large models' threat analysis capabilities across various industry scenarios to accurately identify and respond to threat incidents.
      • Controlled Security Guardrail – A closed-loop defense system covers input validation, intent recognition, output review, and sensitive data filtering, providing end-to-end protection while preventing data leaks out of the LLM.
      • Comprehensive Alert Channels – Supports multiple notification methods including AI voice alerts, real-time messaging via WeChat/WhatsApp, in addition to traditional email and phone alerts for helping customers stay promptly informed about security developments

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