Persistent Systems on Monday announced a strategic partnership with Kong, a leading API and AI connectivity technology company, to help enterprises securely move artificial intelligence applications into production environments.
The collaboration aims to create a unified control layer for APIs, data pipelines, models, and AI agents across hybrid and multi-cloud environments, enabling enterprises to scale AI systems securely and efficiently.
According to the company, Persistent will act as Kong’s global systems integration partner, combining its engineering-led delivery capabilities with Kong’s unified API and AI connectivity platform. The partnership is expected to help organisations modernise legacy API environments, strengthen governance frameworks, reduce operational costs, and accelerate enterprise AI adoption.
The companies said the partnership will also support enterprises in operationalising generative AI and agentic workflows with built-in security, observability, and policy-driven controls. These include safeguards for personally identifiable information (PII), centralised access management, and end-to-end observability for enterprise-grade compliance and governance.
Anand Krishnan, Executive Vice President at Persistent Systems, said enterprise AI will increasingly depend on how effectively organisations govern intelligence flows across systems rather than just access to AI models.
Meanwhile, Ken Kim, Senior Vice President and Head of Business Development at Kong, said APIs are becoming critical infrastructure for connecting services, data, and AI models across complex enterprise environments.
Kong develops API and AI connectivity technologies that help organisations secure, manage, govern, and scale APIs and AI traffic across different cloud and AI environments. The company’s platform is used by enterprises and AI-native startups globally.
Persistent Systems currently operates across 21 countries with more than 27,500 employees and focuses on AI-led digital engineering and enterprise modernisation services.
Disclaimer:
The article is for informational purposes only and should not be considered investment advice.
