Balancing Generative AI’s Promise with Regulatory Requirements
- Amanda Mahoney
- August 8, 2024
Generative AI, or GenAI, holds incredible promise for easing some of the most complex modernization challenges facing organizations utilizing legacy systems. That includes the modernization and migration of mainframe systems. Yet, regulatory and compliance hurdles remain.
Karsun Solutions created ReDuX to use the power of artificial intelligence to accelerate digital transformation projects for its mainframe modernization customers. Our firm has over a decade of experience modernizing systems in the complex regulatory environment government agencies face. In a recent post on GovLoop, Karsun Solutions Chief Architect Kartik Mecheri addresses some of these regulatory concerns and the opportunities to use AI for code generation when modernizing enterprise systems.
Key Regulatory Considerations
The strategic benefits of modernizing legacy systems in the public sector and other industries can be hindered by the regulatory restrictions of those industries. Chief among these concerns are issues surrounding data privacy and confidentiality. Organizations must adhere to regulatory standards, including HIPAA, FISMA, and GDPR. They must integrate with legacy and other systems securely. The AI systems and tools must also maintain the system’s security, and its decision-making must be transparent and accountable.
GenAI’s Promise
Organizations balance these regulatory and confidentiality requirements with the advantages of using AI to introduce modern enterprise systems that reduce cost and risk, improve efficiency, and offer enhanced agility and scalability. However, using GenAI can minimize risk. Using a tool like ReDuX, we can map the structure of mainframe systems, better equipping our development teams to integrate with other systems securely. AI-assisted migration analysis tools empower teams to implement data-led migrations that put data security and privacy at the forefront as systems migrate. They open up the opportunity to implement approaches like synthetic data, enhancing the overall ability of the organization to meet regulatory demands.
Enterprise organizations’ complex regulatory and compliance needs can hold back their adoption of AI tools. The same tools that could hold the key to more secure, resilient, and human-centered applications for their users. A toolkit like ReDuX can help assuage these concerns and move organizations on their AI journey. Connect with us on our Contact Us page to learn more.
Amanda Mahoney
Amanda is an AI for accelerated modernization evangelist. Leading the ReDuX marketing team, she is a proud cheerleader for innovation, technology advancement, and the power of digital transformation. She has held professional certifications in analytics, AWS, and SAFe.
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