AI is exploding inside enterprises. But scaling AI beyond experiments isn’t simple. It demands tight control, seamless connectivity, and ironclad security. That’s where a new powerhouse partnership steps in: Persistent Systems teams up with Kong to revolutionize how companies run AI in production.

Why AI Needs a Unified Control Layer

Access to AI models is no longer the main hurdle. Companies have plenty of AI at their fingertips. The real challenge lies in managing complex workflows spread across APIs, data pipelines, and agent-based systems. Without a single control layer, AI projects become fragmented chaos.

This fragmentation slows scaling, weakens security, and drives up costs. Enterprises juggling hybrid and multi-cloud environments feel the pain most. They need a way to unify connectivity, governance, and security across all AI components. Persistent Systems and Kong answer that call.

Engineering Meets Connectivity for Scalable AI

Persistent Systems brings deep engineering expertise. Kong delivers a cutting-edge API and AI connectivity platform. Combined, they create a unified foundation that transforms isolated AI experiments into enterprise-grade solutions.

• Modernize legacy API infrastructures to handle AI workloads
• Centralize policy controls for consistent governance
• Boost visibility into AI and data operations
• Cut operational costs while supporting high-performance demands
• Enable secure generative AI and agent-based workflows

They also adopt the Model Context Protocol to standardize AI agent workflows. This protocol supports complex AI models and agents working together while embedding essential security and compliance tools.

Security and Compliance at the Core

Handling sensitive data is critical. The partnership locks down personally identifiable information with built-in protections. Centralized access management governs who can interact with what systems. Compliance-driven observability tools track all AI and API traffic for auditing and risk reduction.

Enterprises gain control over AI flow. This reduces risk and helps meet both internal policies and external regulations. The result? AI systems that are not just powerful but safe and trustworthy.

What Leaders Say

Anand Krishnan, Executive Vice President at Persistent Systems, sums it up: “Enterprise AI is not about who accesses models. It’s about how intelligence moves across systems. APIs have evolved from connectors to the control layer of AI.”

Krishnan adds, “Our work with Kong combines engineering strength with a unified connectivity platform. We help clients move beyond fragmented AI to scalable, production-ready solutions that deliver real business value.”

Kong’s senior vice president Ken Kim emphasizes, “APIs link services, data, and models in tangled environments. We build AI connectivity infrastructure that secures, manages, and scales AI workloads on any cloud or model.”

He highlights how Kong’s collaboration with Persistent brings deep engineering talent to complement their platform, enabling consistent policy enforcement, secure access, and full audit trails.

The Road Ahead

This partnership sets a new standard for enterprise AI adoption. It tackles the toughest challenges of governance, security, and scalability head-on. Companies can now move from isolated AI pilots to robust, production-grade systems faster and with less risk.

As AI adoption grows, enterprises will demand seamless integration across complex landscapes. Unified API and AI connectivity will become the backbone of successful AI strategies. Persistent Systems and Kong are poised to lead this transformation.

With this alliance, the future of enterprise AI looks secure, connected, and ready to power game-changing business outcomes.