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WH

www.huidusec.com

Huidu Technology has created the RM-PRO intelligent risk assessment system, which employs automated attack simulations and adaptive risk evaluation to quantify security vulnerabilities across an organization's network. This platform enables businesses to identify potential threats and enhance their cybersecurity measures, ultimately minimizing the risk of data breaches and financial losses.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations face challenges in proactively identifying and quantifying security vulnerabilities across their networks. Traditional risk assessments often lack real-world attack simulations, making it difficult to measure the effectiveness of existing security measures and prioritize remediation efforts. This can lead to undetected vulnerabilities and increased risk of data breaches.

Solution

Huidu Technology's RM-PRO intelligent risk assessment system, also known as "Xianzhi," is an expert-level platform focused on risk measurement through automated attack simulations and adaptive risk evaluation. The system constructs realistic attack scenarios and attack vector orchestration to continuously validate the effectiveness of an organization's defenses. By simulating attacks against the network and systems, RM-PRO helps organizations proactively identify vulnerabilities, measure security risks in practice, and improve their active defense capabilities. The platform employs a cloud-native architecture and a knowledge base to enable rapid and flexible construction of specialized risk measurement scenarios, available through local, cloud, or SaaS deployment.

Target Audience

The primary target audience includes enterprises seeking to continuously validate their security posture, identify vulnerabilities, and improve their overall cybersecurity defenses, including security operations personnel and security management.

Features

  • Expert-level knowledge graph based on attack tactics and techniques derived from red and blue team engagements.
  • Adaptive risk assessment through elastic deployment of assessment nodes and adaptive evaluation strategies.
  • Automated scenario orchestration to flexibly adapt to enterprise-specific assessment needs, including attack defense sandboxes.
  • High-risk attack path identification using AI to enhance the accuracy of attack validation and risk measurement.
  • Risk quantification scoring algorithm based on security device protection, vulnerability exploitation, and threat impact.
  • Security device assessment to evaluate the effectiveness of security infrastructure.
  • Vulnerability exploitation validation using non-destructive attack simulations to verify and prioritize vulnerabilities.
  • Data security assessment to evaluate data leakage risks and data security monitoring and protection measures.
  • Defense-in-depth assessment to evaluate overall risk from the perimeter to the internal network and endpoints.
This profile is AI-generated and may contain inaccuracies.