Harness and Kong Add AI Security to Gateway Partnership
Harness and Kong Inc. announced in a press release an expanded partnership to bring Harness AI security intelligence into Kong AI Gateway. The joint offering is designed to discover, monitor, and protect AI assets, agents, LLM powered services, and MCP connected workflows that pass through the gateway.
The companies said the existing Harness and Kong API Gateway integration provides API traffic visibility, behavioral analysis, threat detection, sensitive data tracking, and deployment alongside Kong configurations. The expanded integration applies similar controls to AI traffic routed through Kong AI Gateway.
The AI Discovery feature inventories AI assets, APIs, MCP servers, tools, prompts, and resources routed through Kong AI Gateway. The AI Protection feature uses behavioral analysis and anomaly detection to identify prompt injection, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI specific threats.
Harness and Kong said the API Gateway integration is generally available for joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Enterprise AI Brief, Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from: Enterprise
More from: Cybersecurity
Subscribe to Cybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read more