Artificial Intelligence (AI) development officially has the world’s attention. History was recently made with global agencies and governments for the first time agreeing on instructions for developing and deploying AI with secure-by-design principles.
The U.S. Department of Homeland Security’s (DHS) Cybersecurity and Infrastructure Security Agency (CISA) and the United Kingdom’s National Cyber Security Centre (NCSC), in collaboration with 21 other global agencies, released Guidelines for Secure AI System Development, which will help AI developers incorporate cybersecurity decisions into every stage of the development process.

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Why Are the AI Development Guidelines Important?

AI is developing at an alarming pace, and without proper oversight, there are substantial risks to public safety. The guidelines are essential steps toward addressing cybersecurity within AI development worldwide.

These guidelines come on the heels of the U.S. issuing an AI Executive Order that supports safe and secure AI technology development and deployment. In October, Biden issued an executive order directing the DHS to promote adopting AI security and safety standards globally. In a short turnaround, the DHS’s quick collaboration only highlights the importance of mitigating the risk of AI to ensure AI systems are safe, secure, and trusted.

Key Focus of the AI Development Guidelines

The guidelines have four key areas of focus for the AI development process: secure design, secure development, secure deployment, and secure operation and maintenance. Each section highlights ways to reduce cybersecurity risk and implement secure-by-design principles when developing AI, which the CISA highly recommends.

  • Secure design: Secure design refers to guidelines for the design stage of the AI system development lifecycle, which covers risks, threat modeling, and considerations for model design.
  • Secure development: Secure development contains development guidelines, including supply chain security, documentation, and technical debt management.
  • Secure deployment: Secure deployment guidelines include protecting infrastructure and models from compromise, threat, or loss, developing incident management processes, and responsible release.
  • Secure operation and maintenance: Secure operation and maintenance guidelines refer to post-deployment actions such as monitoring, updating, and information sharing.
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How BigID Helps Adopt AI, Reduce Risk, and Secure AI Development

The secure-by-design approach is woven into the DNA of BigID, enabling organizations to incorporate security throughout the development lifecycle to comply with the guidelines for Secure AI System Development. With Security by Design principles, BigID implements advanced AI and machine learning to scan, identify, and classify sensitive data to provide insights to enhance security and reduce the risk of breaches and vulnerabilities.

Additionally, organizations trying to innovate with AI technologies must adopt AI safely and responsibly. With BigID, it’s easy to validate that AI models are trained on the correct data – by inventorying, cataloging, and labeling data based on context, sensitivity, residency, type, category, usage, and more. Our technology enables policies to identify, manage, and monitor potential risks and automatically flag when there is sensitive or regulated data.

Ensure Secure AI Adoption

BigID’s comprehensive platform provides a holistic solution for AI governance and data lifecycle management to gain the insights needed to comply with AI-specific requirements and guidelines— giving organizations the tools to manage, protect, and govern AI with robust security protocols that enable zero trust, mitigate insider risk, and secure structured and unstructured data across the entire data landscape.

Taking this strategic approach with BigID ensures compliance with regulations, cuts costs, builds customer trust, and fosters a culture of privacy and security across the organizations.

Schedule a demo with our experts to see how BigID can help your organization implement secure-by-design principles for AI system development and safely adopt AI.