Persistent Systems and Kong Forge Strategic Alliance for Secure AI Deployments

Strategic Alliance Between Persistent Systems and Kong

In an era where artificial intelligence (AI) is becoming indispensable for businesses, Persistent Systems and Kong have announced a strategic partnership aimed at helping companies securely scale their AI deployments. This collaboration is poised to redefine how organizations integrate and manage AI within their operational frameworks.

The core of this partnership leverages Persistent Systems' expertise in digital engineering and enterprise modernization alongside Kong's renowned API connectivity and AI management platform. Together, they aim to create a robust governance layer that will simplify the integration process and enhance the operational management of AI systems across diverse environments, including hybrid and multi-cloud architectures.

Transitioning from Experimentation to Production

As organizations adapt from simply experimenting with AI to implementing it in production environments, the challenges become increasingly complex. Accessing AI models is no longer the main concern; the critical issue lies in how these AI systems are connected and governed at scale. The intricate interplay between application programming interfaces (APIs), data pipelines, AI models, and agents necessitates a cohesive operational structure. Without a unified control layer, this structure risks becoming fragmented and unwieldy, complicating scalability efforts.

The partnership between Persistent and Kong addresses this critical gap by facilitating the implementation of a governed and scalable connectivity layer. This approach allows enterprises to modernize their existing API environments while reinforcing governance and reducing operational costs, all while seamlessly supporting high-performance workloads in diverse environments.

Enhancing Security and Compliance

This collaboration also paves the way for organizations to implement GenAI and agent-based workflows, incorporating architectures based on the Model Context Protocol (MCP). The emphasis on built-in security, observability, and policy-driven control ensures that enterprises meet stringent compliance and data protection standards, such as safeguarding personally identifiable information and managing access with centralized oversight.

Anand Krishnan, Executive Vice President at Persistent Systems, emphasizes that the future of enterprise AI is not merely about access to models but about how effectively organizations can govern information flow within their systems. APIs, he asserts, are evolving from simple integration points into the fundamental control layer of enterprise AI. He states, “Our partnership with Kong combines Persistent's technical prowess with a unified connectivity platform to help clients transition from fragmented AI initiatives to scalable, production-level systems.”

The Importance of Connectivity in AI

Ken Kim, Senior Vice President and Head of Business Development at Kong, highlights that as companies swiftly adopt AI for production, APIs play an essential role in connecting services, data, and model endpoints within complex environments. He adds, “At Kong, we are building AI connectivity infrastructure that enables organizations to secure, manage, govern, and scale traffic across APIs and AI workloads on any model or cloud.”

By combining Kong's AI gateway and unified API connectivity platform with Persistent's GenAI Hub and engineering approach, enterprises can transform isolated AI use cases into governed systems that deliver substantial commercial value, with enhanced control and risk mitigation.

Conclusion

With a significant surge in the market for AI services, the partnership between Persistent Systems and Kong is timed perfectly to help businesses navigate the complexities of scaling AI safely and efficiently. As they work together to create preeminent solutions for secure AI deployment, Persistent and Kong are setting the stage for transformative advancements in the enterprise AI landscape, ensuring organizations are well-equipped to leverage AI’s full potential while maintaining security and compliance standards.