Control and traceability of enterprise AI for enhanced security
Most LLM safeguards fail in production. Agumbe LLM Gateway lets you define and enforce application-level safeguards in real-time request flows. Detects, masks, or blocks prompt injections (direct and indirect), sensitive data (PII, secrets), forbidden topics, and verifies response safety and relevance—all while respecting budget constraints (economic models for development, premium models reserved for production). Fully testable via a console using the same gateway as the production environment.
For a university student, Agumbe LLM Gateway enables secure and cost-effective LLM use for research and note-taking. The gateway can mask sensitive personal information in research queries and ensure that only approved LLM models are used, preventing unexpected costs.
For a solopreneur, Agumbe LLM Gateway provides control and traceability for AI-powered applications. It allows for real-time detection and blocking of prompt injections, ensuring the application's security and preventing misuse of sensitive data.
For a customer support team lead, Agumbe LLM Gateway facilitates the safe integration of LLMs into customer interactions. The gateway can filter out PII from customer queries before they reach the LLM and ensure responses are relevant and safe, maintaining brand reputation.
For a software developer, Agumbe LLM Gateway offers a fully testable console to verify LLM safeguards before production deployment. Developers can simulate prompt injection attacks and test data masking capabilities in a controlled environment, ensuring application security.
For an enterprise IT manager, Agumbe LLM Gateway enforces application-level safeguards and manages LLM spending. It allows for reserving premium models for production while using economic models for development, and detects forbidden topics to maintain compliance and security.
Agumbe LLM Gateway (and Console) offers a free tier for development and testing. This allows users to explore its features and integrate safeguards without initial cost. Production usage and advanced features may incur charges based on the pricing model.
Agumbe LLM Gateway (and Console) has a tiered pricing structure. While a free tier is available for development, production usage is typically priced based on factors like the number of requests, the complexity of safeguards implemented, and the models used. Specific pricing details can be obtained by contacting their sales team.
Agumbe LLM Gateway (and Console) is designed with security and compliance in mind, focusing on enterprise AI safeguards. It helps detect and block sensitive data like PII and secrets, and allows for control over AI interactions. For specific compliance certifications like GDPR, it's recommended to consult Agumbe's official documentation or contact their support.
Alternatives to Agumbe LLM Gateway (and Console) include other AI gateways and security platforms that offer similar features for managing LLM deployments. Some popular options that provide routing, security, and observability for LLMs are Edgee AI Gateway and platforms like Guardrails AI.
Yes, Agumbe LLM Gateway (and Console) features a web-based console. This console allows users to define, test, and enforce application-level safeguards for AI models in real-time, providing a centralized environment for managing AI security and traceability.
Agumbe LLM Gateway is designed to be integrated into your application's request flow. Installation typically involves setting it up as a gateway that sits between your application and the LLM providers. Detailed installation and integration instructions can be found in the official Agumbe documentation.
We're still verifying the official pricing for Agumbe LLM Gateway (and Console). In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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