Kong + Noma: Advanced Agentic AI Security and Runtime Protection
Blog post from Kong
Kong and Noma have partnered to enhance the security of agentic AI systems by integrating Noma's AI-DR engine with Kong's AI Gateway, providing a comprehensive security solution that combines high-speed traffic orchestration with AI-native guardrails. This collaboration aims to address the challenges posed by the increasing complexity and attack surface of AI systems, ensuring that enterprises can scale their AI deployments without compromising security or governance. The integration of Noma into Kong's Technology Partner Program underscores the commitment to delivering reliable AI security solutions, allowing organizations to apply consistent threat detection and access controls across all AI interactions. By consolidating AI interactions into a unified environment, the partnership offers centralized management and observability, with Kong's plugins managing agent-to-agent, model context protocol, and LLM flows, while Noma focuses on runtime protection and anomaly detection. This approach mitigates risks like prompt injections and data leakage by providing proactive, policy-driven security, thereby supporting the rapid deployment of AI services with confidence and safeguarding against unauthorized actions and malicious attacks.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 20 | 7,668 | 844 | 209 | +8% |
| AI Agents | 14 | 6,119 | 1,396 | 266 | +24% |
| LLM | 14 | 6,237 | 1,165 | 246 | -31% |
| Real-time | 4 | 5,758 | 1,361 | 266 | +0% |
| Observability | 3 | 4,230 | 776 | 198 | +24% |
| OpenTelemetry | 1 | 968 | 178 | 57 | +2% |
| Vector Search | 1 | 1,897 | 384 | 134 | -16% |
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