Kong Inc. has announced the general availability of Kong AI Gateway 2.2, a platform update designed to provide enterprise governance for agentic AI workloads. The release introduces features such as unified MCP tool access, modality-aware cost management, and identity-aware AI policies within the Kong Konnect ecosystem.
The release of Kong AI Gateway 2.2 addresses the infrastructure lag between rapid AI innovation and enterprise security requirements. By providing unified governance for Model Context Protocol (MCP) tools and modality-specific cost tracking, Kong allows streaming and media enterprises to deploy autonomous agents without losing control over API spend or data access. This shift toward identity-aware policies reflects a broader industry move to treat AI agents as first-class authenticated entities rather than generic service accounts. As streaming platforms integrate more generative tools for metadata and video processing, watch for whether this centralized gateway approach becomes the standard for managing high-volume, multi-modal API costs across fragmented provider ecosystems.
Kong Inc. has launched AI Gateway 2.2, introducing modality-aware cost management that tracks text, audio, image, and video expenses separately. This update provides enterprise-grade governance for agentic AI, allowing streaming and media companies to deploy autonomous agents while maintaining precise control over API spending and data access across fragmented provider ecosystems.
The update introduces modality-aware cost management, MCP server bundling, identity-aware policies, and expanded native support for models like Kimi, Microsoft Foundry, and Amazon SageMaker.
It tracks text, audio, image, and video costs separately, moving beyond traditional flat token-based estimates to provide accurate cost attribution for complex media workloads.
These policies allow rate limiting and access control to be keyed to specific authenticated principals rather than relying on local gateway consumers.
Native support has been expanded to include Kimi, Microsoft Foundry, Amazon SageMaker, and the Jev model.
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