GRC Viewpoint

GenAI Security Compliance Using Next Gen Compliance Automation Platform

As the consumption of artificial intelligence (AI) applications, natural language processing (NLP) models, also called large language models (LLMs), and Generative AI (GenAI) tools such as ChatGPT and many others using these models continue to rise and reshape the enterprise landscape globally to increase productivity, save time and money, ensuring the security and compliance of these AI-dependent applications and systems is of the highest significance as they pose enormous security risks and challenges. However, implementing a comprehensive GenAI compliance and security program involves:

  • Periodic risk assessments.
  • Regular internal and external audits.
  • Robust data governance processes.
  • Secure model deployments.
  • Model explain-ability and transparency processes.
  • Ongoing employee security education and training.

In addition, it also involves using the latest tools and technology platforms, such as next-generation compliance automation platforms like Akitra Compliance Automation Platform, to automate and streamline compliance processes to maximize cost savings and efficiencies internally while engaging all respective stakeholders. These security best practices can assist organizations in fortifying their Generative AI dependent applications against potential threats and maintaining customer trust while enjoying the benefits of Generative AI-powered solutions.

Our focus in this article will be on how the next-generation compliance automation platform can be a powerful tool to ensure effective security compliance for Generative AI applications and systems. The automation platforms can assist in streamlining and managing various compliance processes efficiently, resulting in enormous cost and time savings and reducing headaches for internal teams and resources. Here are five key steps to create effective compliance for GenAI applications and systems using compliance automation platforms:

Compliance Requirements: 

Identify any unique requirements and controls that apply to your organization’s unique Generative AI applications and systems, including industry standards such as NIST AI Risk Management Framework, ethical considerations, internal company policies, and respective legal regulations, whether country or state-specific.

Compliance Automation Platform:

Selecting a multi-framework security compliance automation and monitoring platform such as Akitra Andromeda suitable for your specific infrastructure is a significant step. Also, having a platform that supports multiple standards in parallel is crucial so it can also be used for audit readiness rapidly and effectively to get multiple audits completed seamlessly and simultaneously by leveraging its inherent flexible and extensible capabilities. It must support and provide you with a library of GenAI security controls that can be updated and implemented by your organization.

Policy, Procedures, Data, and Privacy Management:

Leveraging the platform to create, manage, and enforce compliance policies and procedures across your organization while maintaining documentation and version controls for a smooth audit process is another significant step. Make sure to align your generative AI development and deployment processes with your corporate policies and implement controls that operate effectively. The platform must provide a mechanism to monitor data privacy compliance robustly. Make sure to implement best data governance practices so the data being collected, stored, and processed is in compliance with relevant standards for data protection regulations such as EU GDPR and California CCPA standards.

Risk Assessment, Mitigation, and Management:

The automation platform must provide a comprehensive risk assessment and management capability, including qualitative such as NIST AI RMF, and quantitative methodologies, such as Factor Analysis of Information Risk (FAIR), so your organization can leverage it to identify potential compliance risks associated with generative AI application and establish mitigation strategies. The foundation of a robust GenAI security program is a thorough risk assessment that identifies potential vulnerabilities, external threats, and internal risks associated with GenAI implementation across the enterprise.

Audits, Monitoring, and Continuous Compliance:

The platform should allow internal or external third-party audits to be conducted easily and rapidly and generate compliance reports by automatically collecting the evidence to support the controls and for regulatory and internal reviews. In addition, use the platform features for automated monitoring, alerting, and notifications for compliance breaches. Regularly assess compliance processes, refine them based on your organization’s growth and plans, and adjust accordingly. Continuous compliance is required to ensure that best security practices and controls for Generative AI applications and systems are in place and are working effectively to maintain compliance.

Establishing trust is a crucial competitive differentiator when doing business with customers in today’s era of data breaches, compromised privacy, and a rapidly evolving technology landscape and digital environment. Customers and partners want assurances that the vendors they work with are doing everything possible to prevent disclosing sensitive data and to avoid putting them at risk, with evolving technologies especially with generative AI-based available systems and models. Choosing a compliance automation platform will help you get the necessary compliance certifications – fast, efficiently, and cost-effectively- while making continuous compliance a reality. 

By Naveen Bisht, Founder and CEO, AKITRA INC

Naveen Bisht is the Founder and CEO of AKITRA, a leading AI-powered, Cloud-based Cybersecurity, and Compliance Automation company. A serial entrepreneur who has founded and led numerous companies in the security and network infrastructure industries. He was the founder and CEO of Straks, SecurAct, Nayna Networks, and Ukiah Software (acquired by Novell). He is the past Chair of Programs and a Board Member of TiE Silicon Valley (SV). He started TiE Silicon Valley My Story Program in 2011 to inspire budding entrepreneurs and is also a founder of Interactive CISO Roundtable for cybersecurity professionals to discuss issues facing the industry. He pursued Ph.D. studies at the University of California, Santa Barbara; he holds an MS from Texas Tech and; an MS/BS degree from the Birla Institute of Technology & Science. He holds ten patents in artificial intelligence, security, and networking and has published several papers and articles on entrepreneurship and industry trends.

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