Persistent and Kong Partner to Accelerate Secure Enterprise AI Adoption Across Hybrid Cloud Environments

Persistent and Kong partnership for secure enterprise AI adoption and API governance marks a significant development in enterprise AI infrastructure as Persistent Systems and Kong Inc. announce a strategic collaboration aimed at helping organizations securely scale AI initiatives into production environments. The partnership combines Persistent’s engineering-led digital transformation expertise with Kong’s unified API and AI connectivity platform to improve governance, security, and operational scalability for enterprise AI systems.

The collaboration comes at a time when enterprises are rapidly moving beyond AI experimentation and focusing on building production-grade AI systems capable of operating reliably across hybrid and multi-cloud environments.

Addressing the Growing Complexity of Enterprise AI

As organizations accelerate adoption of generative AI and agentic AI systems, managing APIs, models, data pipelines, and AI agents has become increasingly complex.

According to Persistent and Kong, enterprises now face major challenges involving:

• AI governance and observability

• Hybrid and multi-cloud connectivity

• Secure API orchestration

• AI workload scalability

• Compliance and access control

The companies aim to address these issues through a unified “control layer” designed to govern APIs, AI services, and data interactions across distributed enterprise ecosystems.

Creating a Unified AI Connectivity Architecture

The partnership focuses on integrating Kong’s AI Gateway and API connectivity platform with Persistent’s GenAI Hub and engineering delivery capabilities.

This architecture enables organizations to:

• Connect AI models and enterprise systems securely

• Govern APIs and AI interactions centrally

• Reduce operational complexity

• Modernize legacy API environments

• Support scalable AI deployment across clouds

The companies describe APIs as evolving beyond simple integration tools into the operational foundation for enterprise AI systems.

Enabling Secure and Governed AI Deployment

One of the primary goals of the partnership is helping enterprises deploy AI with stronger governance and security controls.

The combined solution supports:

• Policy-driven AI governance

• Personally Identifiable Information (PII) protection

• Centralized access management

• End-to-end observability

• Secure Model Context Protocol (MCP)-based architectures

These capabilities are becoming increasingly important as enterprises adopt autonomous AI agents capable of interacting directly with enterprise systems and sensitive business data.

Hybrid and Multi-Cloud AI Infrastructure Becoming Essential

Modern enterprise AI environments often operate across multiple cloud providers, on-premises systems, and distributed infrastructure platforms.

Persistent and Kong aim to help enterprises:

• Manage AI workloads consistently across environments

• Maintain governance and compliance standards

• Improve interoperability between systems

• Simplify cloud-native AI integration

The partnership reflects growing enterprise demand for flexible infrastructure capable of supporting increasingly complex AI operations.

Enterprise AI Shifting from Experimentation to Production

Industry analysts increasingly note that enterprises are entering a new phase of AI maturity focused on measurable business outcomes rather than isolated pilot programs.

Research and enterprise discussions show organizations now prioritize:

• Reliable AI deployment frameworks

• Operational governance and accountability

• Secure autonomous workflows

• Scalable production environments

• Real-world business value from AI systems

This trend is driving increased investment in enterprise-grade AI orchestration and governance infrastructure.

Agentic AI Driving New Security and Governance Requirements

The rise of autonomous AI agents has created new operational and cybersecurity challenges for enterprises.

Security researchers warn that self-running AI systems can introduce risks such as:

• Prompt injection attacks

• Unauthorized system actions

• Credential exposure

• Shadow AI environments

• Unmonitored agent workflows

Persistent and Kong’s partnership addresses these concerns through policy-driven governance, observability, and centralized control mechanisms designed for agentic AI systems.

Strengthening API Management for AI-Native Enterprises

API management is becoming a foundational requirement for AI-native enterprise architectures.

Kong’s platform supports:

• API gateway management

• Service mesh infrastructure

• AI connectivity orchestration

• Developer lifecycle management

• Traffic monitoring and analytics

This infrastructure allows organizations to build scalable and secure AI ecosystems capable of integrating diverse enterprise applications and services.

Persistent Expanding Its AI-First Strategy

The collaboration aligns with Persistent’s broader AI-first and platform-led transformation strategy.

The company continues investing in:

• GenAI engineering services

• Enterprise modernization solutions

• AI governance frameworks

• Cloud-native infrastructure

• AI-driven operational transformation

Persistent aims to help enterprises transition from fragmented AI experiments toward scalable production-grade AI systems with measurable business impact.

Enterprise AI Governance Emerging as a Competitive Priority

Organizations increasingly recognize that enterprise AI success depends not only on model performance but also on governance, security, and operational reliability.

Key industry priorities now include:

• AI observability and monitoring

• Governance of autonomous AI agents

• Secure enterprise orchestration

• Compliance-ready AI infrastructure

• Centralized policy enforcement

These requirements are reshaping how enterprises design and deploy AI systems at scale.

Positioning for the Future of Enterprise AI Operations

Persistent and Kong’s strategic partnership positions both companies within the rapidly growing enterprise AI infrastructure market.

The collaboration supports enterprises seeking to:

• Scale AI initiatives securely

• Govern APIs and AI systems centrally

• Reduce operational fragmentation

• Accelerate AI deployment timelines

• Improve hybrid cloud interoperability

As enterprises increasingly operationalize AI across core business functions, secure and governed AI connectivity platforms are expected to become critical components of enterprise technology infrastructure.

Conclusion

The partnership between Persistent and Kong represents a significant step toward enabling secure, scalable, and governed enterprise AI adoption. By combining API management, AI connectivity, and engineering-led delivery capabilities, the companies aim to help organizations move beyond AI experimentation and deploy production-grade AI systems across hybrid and multi-cloud environments.

As enterprises continue embracing generative AI, autonomous agents, and intelligent workflows, robust governance and connectivity frameworks will play a vital role in ensuring secure, reliable, and scalable AI transformation.

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