Kong Inc. announced the launch of the latest version of Kong AI Gateway, which introduces new features to provide the AI security and governance guardrails needed to make GenAI and Agentic AI production-ready. New updates include automated Retrieval-Augmented Generation (RAG) pipelines aimed at preventing Large Language Model (LLM) hallucinations and a Personally Identifiable Information (PII) sanitization plugin which allows for the sanitization and protection of personal data, passwords, codes and more than 20 categories of PII across 12 different languages and most major AI providers.
"As artificial intelligence continues to evolve, organizations must adopt robust AI infrastructure to harness its full potential. With this latest version of Kong AI Gateway, we’re equipping our customers with the tools necessary to implement Agentic AI securely and effectively, ensuring seamless integration without compromising user experience. Moreover, we’re helping solve some of the biggest challenges with LLMs, such as cutting down on hallucinations and improving data security and governance. Finally, since AI agents are only as capable as the APIs that they can consume, Kong’s AI Gateway nicely complements the Kong Konnect API platform, which together deliver the world’s first API and AI control plane to accelerate the business and make it more efficient with AI," said Marco Palladino, CTO and Co-Founder, Kong Inc.
Key features and capabilities of Kong AI Gateway 3.10 include an AI RAG Injector which:
Reduces LLM hallucinations
- The new automated RAG pipelines feature helps address one of the biggest challenges to working with LLMs, their tendency to ‘hallucinate’, or provide an inaccurate response. AI Gateway 3.10 provides functionality enabling the automatic query of a vector database to insert relevant data to a prompt on-the-fly, ensuring the LLM is augmenting results with known knowledge sources.
Improves Security and Compliance
- It also gives teams more control and the ability to consistently improve LLM response accuracy and reduce hallucinations, at scale. By offloading the RAG pipeline responsibility to the AI Gateway, this now puts the vector database behind the protective layer that is the Kong AI Gateway.
Enhances Developer Productivity and Experience
- While RAG pipelines are effective for mitigating hallucinations, building them is a time-intensive and manual process for developers. AI Gateway 3.10 simplifies this process, helping to improve developer productivity with a low code/no-code approach to integrating applications with existing pipelines. This is achieved through the AI Gateway’s out-of-the-box capability to generate embeddings for an incoming prompt, then fetch all relevant data, and automatically append it to the request.
Automatic PII Sanitization which:
Enhances Security and Governance
- This new feature enables teams to more easily sanitize and protect personal data, passwords, and more than 20 categories of PII across 12 different languages and most major AI providers. Additionally, this update will enable platform owners to enforce sanitization at the global platform level, removing the need for developers to manually code the sanitization into every application they are building, and helping ensure that sanitization is implemented consistently each time.
Improves the End User Experience
- While other sanitization products replace sensitive data with a token or by redacting it entirely, 3.10 optionally reinserts the original sanitized data into the response before it reaches the end user, based on configuration settings defined by the platform owner. This can ensure that users will always still receive the data they need, and in a seamless and personalized fashion.
Kong AI Gateway 3.10 is removing some of the most common hurdles to leveraging AI, helping to ensure organizations can integrate AI-enabled applications easier and more securely.