Persistent Systems, Kong join forces to secure enterprise AI scaling

Persistent Systems and Kong are joining forces to assistance enterprises integrate and govern AI systems arsenic they displacement from experimentation to production.

The collaboration aims to simplify the process of scaling AI. It volition absorption connected combining connectivity, security, and argumentation absorption crossed APIs, information pipelines, AI models, and agent-based workflows.

As organisations follow AI crossed aggregate concern functions, they progressively request to link disparate systems and guarantee effectual governance.

According to Persistent Systems, entree to AI models is nary longer the superior obstacle. The institution said the main situation present lies successful coordinating analyzable operational and information requirements, particularly erstwhile deploying these technologies successful hybrid oregon multi-cloud environments.

Without a unified power layer, endeavor AI efforts tin go fragmented, creating difficulties successful scaling, securing, and managing systems efficiently.

Persistent Systems enforcement vice president Anand Krishnan said: “Enterprise AI volition not beryllium defined by who has entree to models. It volition beryllium defined by however efficaciously organisations tin govern however quality flows crossed their systems.

“APIs are nary longer conscionable integration points. They are the power furniture for endeavor AI.

“Our concern with Kong brings unneurotic Persistent's engineering-led attack with a unified connectivity level to assistance clients determination from fragmented AI initiatives to scalable, production-grade systems. Together, we are enabling enterprises to physique AI that is secure, controlled and acceptable to present existent concern outcomes."

Under the presumption of the partnership, Persistent Systems volition service arsenic Kong’s planetary systems integration partner.

Persistent Systems’ engineering-led services volition beryllium combined with Kong’s unified API and AI connectivity platform.

Together, the companies expect to assistance clients modernise bequest API infrastructures and use centralised argumentation controls. They besides purpose to heighten visibility into AI and information operations and little operational costs, portion supporting high-performance workloads successful divers deployment models.

The offering volition besides code requirements for generative AI and agent-based architectures, enabling enactment for Model Context Protocol-based workflows.

Security features see built-in controls for the extortion of personally identifiable information, centralised entree management, and tools for compliance-driven observability. These tools are designed to enactment enterprises successful gathering their interior argumentation requirements and outer compliance needs for some AI and API traffic.