Compare AI Gateway vs. AI Gateway for IBM API Connect in 2025

AI Gateway

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AI Gateway for IBM API Connect

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Description

AI Gateway serves as a comprehensive and secure centralized management tool for AI, aimed at enhancing employee capabilities and increasing productivity. It consolidates AI services, providing employees with a single, intuitive platform to access authorized AI tools, which simplifies workflows and accelerates productivity. By ensuring data governance, AI Gateway eliminates sensitive information prior to reaching AI providers, thus protecting data integrity and ensuring compliance with relevant regulations. Moreover, it includes features for cost control and monitoring, empowering organizations to track usage, regulate employee access, and manage expenses, thereby facilitating efficient and budget-friendly AI access. By managing costs, roles, and access, it allows employees to leverage cutting-edge AI technologies effectively. This streamlining of AI tool utilization not only saves time but also enhances overall efficiency. Additionally, AI Gateway prioritizes data protection by scrubbing Personally Identifiable Information (PII) and other sensitive data before it is transmitted to AI providers, ensuring a secure interaction with AI systems. Ultimately, AI Gateway is essential for businesses looking to harness AI's full potential while maintaining stringent data security and compliance standards.

Description

IBM's AI Gateway for API Connect serves as a consolidated control hub for organizations to tap into AI services through public APIs, ensuring secure connections between various applications and third-party AI APIs, whether they are hosted internally or externally. Functioning as a gatekeeper, it regulates the data and instructions exchanged among different components. The AI Gateway incorporates policies that allow for centralized governance and oversight of AI API interactions within applications, while also providing essential analytics and insights that enhance the speed of decision-making concerning choices related to Large Language Models (LLMs). A user-friendly guided wizard streamlines the setup process, granting developers self-service capabilities to access enterprise AI APIs, thus fostering a responsible embrace of generative AI. To mitigate the risk of unexpected or excessive expenditures, the AI Gateway includes features that allow organizations to set limits on request rates over defined periods and to cache responses from AI services. Furthermore, integrated analytics and dashboards offer a comprehensive view of the utilization of AI APIs across the entire enterprise, ensuring that stakeholders remain informed about their AI engagements. This approach not only promotes efficiency but also encourages a culture of accountability in AI usage.