AI compliance and regulatory frameworks
The rapid adoption of AI has been followed by a wave of new regulations and compliance frameworks. Organizations must navigate this landscape to avoid legal penalties and build trust with customers. A proactive approach to compliance is essential for responsible AI deployment.
Key regulations and frameworks
Several key frameworks are shaping AI governance globally. The EU AI Act categorizes AI systems by risk level and imposes strict requirements on high-risk applications, with rules for general-purpose AI models slated to apply 12 months after the Act’s expected publication.
In the United States, the NIST AI Risk Management Framework (RMF) provides voluntary guidance for managing risks associated with AI, and its goal is to help organizations promote trustworthy and responsible development and use of AI systems. Other industry-specific regulations, such as HIPAA in healthcare, also have implications for how AI is used with sensitive data.
Core principles for compliance
Most AI regulations are built on a set of core principles, including transparency, fairness, accountability, and privacy. Your organization must be able to demonstrate that its AI systems operate according to these principles. This includes maintaining clear documentation (like model cards), auditing for bias, and ensuring data handling practices comply with privacy laws.
Achieving and demonstrating compliance
Use security tools that can map your controls to specific regulatory requirements. This simplifies the process of demonstrating compliance to auditors and stakeholders. Wiz helps organizations streamline AI compliance by mapping your AI security posture against major frameworks like NIST. With automated evidence gathering and out-of-the-box compliance checks, Wiz simplifies the process of proving your AI systems are built and operated securely, helping you prepare for audits and meet regulatory requirements.
Next steps for establishing robust AI security
The eight best practices presented in this article aim to empower teams to secure existing AI pipelines quickly—and swiftly adopt new AI solutions too. The focus on adaptability and agility is critical for organizations seeking to integrate AI successfully and securely in the evolving landscape of AI and the emerging field of AI security.
To establish this agile standardized security framework, explore solutions that prioritize process enhancement over infrastructure maintenance. As a cloud-native application protection platform with AI security posture management (AI-SPM) capabilities, Wiz is a cornerstone of reliable security across IT and AI applications. With extended visibility and streamlined governance, our AI-SPM tool offers built-in support for best-practice AI security management.
Considering an AI-SPM solution? Here are the four most important questions every security organization should be asking itself:
->Does my organization know what AI services and technologies are running in my environment?
->Do I know the AI risks in my environment?
->Can I prioritize the critical AI risks?
->Can I detect a misuse in my AI Pipelines?
Learn more
Need automated detection of AI misconfigurations, management of your AI-BOM, and proactive discovery and removal of attack paths for AI applications in the cloud? Wiz has you covered.
Wiz is a founding member of the Coalition for Secure AI. As a founding member, Wiz joins other industry leaders in contributing to the development of standardized approaches to AI cybersecurity, sharing best practices, and collaborating on AI security research and product development.
You can learn more by visiting the Wiz for AI webpage. If you prefer a live demo, we would love to connect with you.
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