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F

rtifying AI with

Cutting-Edge Security

Sino Data Security Corporation, formerly Skymind China, specializes in data security technology for AI deployment. Following a restructuring, the company has further focused on research and development, aiming to create advanced solutions that ensure the integrity, confidentiality, and availability of data in AI applications. With extensive experience in AI and machine learning, Sino Data Security Corporation has introduced leading encryption technologies, secure data storage and transmission protocols, and robust cybersecurity measures. Committed to continuous innovation and progress, the company provides cutting-edge data security solutions to protect sensitive information and enhance the reliability of AI systems.

At Its Core

We are committed to maintaining the highest standards of security in data and AI systems, always open to acquiring new knowledge and fostering continuous innovation. At its core, our mission lies in the application of cutting-edge technology to ensure data security and the effectiveness of AI systems.

As a leading AI data security company, we focus on several key areas to ensure the safe and effective deployment of AI technologies in government and enterprise environments:

  • Developing state-of-the-art solutions to protect sensitive data
  • Implementing rigorous security protocols to prevent data breaches and cyber attacks
  • Enhancing the reliability and integrity of AI systems


Through these key initiatives, we are dedicated to providing advanced technologies and solutions for governments and enterprises. Our goal is to ensure the security, integrity, and reliability of data and AI systems, creating a secure and trustworthy technological environment that fosters innovation and growth.

1. Advanced Data Encryption and Privacy Protection:

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Developing complex encryption algorithms, such as homomorphic encryption and quantum-resistant cryptography, and employing differential privacy methods to safeguard data during storage, transmission, and usage.
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2. Secure AI Model Development and Robust Deployment:

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Implementing secure software development lifecycle (SDLC) practices, including adversarial machine learning defenses, and offering on-premise deployment options with enhanced security measures to protect AI models from vulnerabilities and adversarial attacks.
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3. Granular Access Control and Proactive Threat Detection:

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Designing granular access control mechanisms using role-based access control (RBAC) and attribute-based access control (ABAC), and integrating AI-driven anomaly detection systems with real-time threat intelligence to ensure authorized access and proactive mitigation of potential security threats.
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4. Regulatory Compliance and Adaptive Governance:

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Ensuring data security practices comply with international standards and regulations such as GDPR, HIPAA, CCPA, and China’s Cybersecurity Law. Regularly updating security protocols through adaptive governance frameworks to align with evolving regulatory requirements.
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5. AI Ethics, Governance, and Data Anonymization:

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Establishing comprehensive ethical guidelines and governance frameworks, utilizing techniques like federated learning and secure multi-party computation (SMPC) to ensure responsible AI use, protect personally identifiable information (PII), and enhance transparency and accountability.
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