Systems | Development | Analytics | API | Testing

We're thrilled to announce a strategic technology partnership between **Kong** and **ModelOp**. As enterprises rapidly transition into the agentic era, they face a critical challenge: how to deploy AI fast enough to stay competitive without taking on unacceptable regulatory or security risks. Together, **ModelOp** and **Kong** are solving the "last mile" problem of enterprise AI delivery.

In late June 2026, two of the most widely used AI agent platforms were compromised within the same week. Langflow disclosed a critical unauthenticated remote code execution flaw. Dify, powering over one million applications, revealed four vulnerabilities that exposed private conversations and internal APIs across tenant boundaries. These weren't theoretical risks. They were production exploits hitting real infrastructure.

Data analysis at scale to identify hidden fraud and achieve transaction savings.

Banking customers expect financial transactions to be completed quickly. Fraud analysis must execute in milliseconds, so traditional batch processing systems are inherently too slow. To safeguard transactions, institutions must shift to proactive, in-flight prevention. Confluent enables this shift by using Apache Kafka and Apache Flink to continuously correlate transactional and behavioral signals, blocking malicious activity before a transaction settles.

If you run a platform tools or security team, you have likely heard this request from developers: “I just need a copy of the production database for staging so I can run realistic load and integration tests.” It is a completely reasonable request. Production traffic and data contain the actual request shapes, real-world value distributions, long-tail anomalies, and timing patterns that make tests useful.

npm v12 finally turns off automatic install scripts. That closes one door and leaves another wide open. I have spent years on the security side of the Node.js ecosystem, more recently as the primary contact for the OpenJS Foundation CNA, and now as the Node.js AI Security Engineer in Residence, a role supported by Alpha-Omega. Almost all of that work comes down to one question: can you trust the code you install? So I will say this plainly.