Starseer AI Gateway is a LLM Guardrails product by Starseer. Pricing is commercial (price not published).
AI Gateway is a policy enforcement point that sits in front of AI model endpoints and classifies, enforces, and routes every prompt before it reaches a model. The gateway classifies intent, complexity, and domain pre-inference (in roughly 38ms), applies customer-defined rules to block prompt injection, jailbreak, and data exfiltration attempts at the boundary, and routes requests to the model that matches the task's actual requirements rather than always sending traffic to a frontier model. It deploys inline in the request path without requiring application code changes or an SDK, and applies a single policy across multiple model providers (Claude, GPT, Llama, Granite, and open-weight endpoints). Every classification decision, the rule that fired, and the model that served the request are logged as a trace that can be forwarded to a SIEM for audit and evidence purposes, mapped to frameworks such as MITRE ATLAS, NIST AI RMF, ISO 42001, and the EU AI Act. The product is designed to work alongside other Starseer offerings: a model vulnerability scan that vets models before they can receive gateway traffic, and an AI detection and response product that consumes gateway traces for runtime investigation. Deployment options include SaaS, on-prem Kubernetes, and air-gapped environments.</description> <parameter name="summary">Gateway that classifies, blocks, and routes AI prompts to models before inference occurs
Common questions about Starseer AI Gateway including features, pricing, alternatives, and user reviews.
Starseer AI Gateway is AI Gateway is a policy enforcement point that sits in front of AI model endpoints and classifies, enforces, and routes every prompt before it reaches a model.
The gateway classifies intent, complexity, and domain pre-inference (in roughly 38ms), applies customer-defined rules to block prompt injection, jailbreak, and data exfiltration attempts at the boundary, and routes requests to the model that matches the task's actual requirements rather than always sending traffic to a frontier model.
It deploys inline in the request path without requiring application code changes or an SDK, and applies a single policy across multiple model providers (Claude, GPT, Llama, Granite, and open-weight endpoints). Every classification decision, the rule that fired, and the model that served the request are logged as a trace that can be forwarded to a SIEM for audit and evidence purposes, mapped to frameworks such as MITRE ATLAS, NIST AI RMF, ISO 42001, and the EU AI Act.
The product is designed to work alongside other Starseer offerings: a model vulnerability scan that vets models before they can receive gateway traffic, and an AI detection and response product that consumes gateway traces for runtime investigation.
Deployment options include SaaS, on-prem Kubernetes, and air-gapped environments.
Starseer AI Gateway is built for security teams handling AI Gateway, Prompt Injection, LLM Security, AI Governance. Teams typically adopt Starseer AI Gateway when they need to ai security capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/starseer-ai-gateway
Starseer AI Gateway is a commercial AI Security solution. For detailed pricing information, visit https://starseer.ai/ai-gateway or contact Starseer directly.
Popular alternatives to Starseer AI Gateway include:
Compare all Starseer AI Gateway alternatives at https://cybersectools.com/alternatives/starseer-ai-gateway
Starseer AI Gateway is for security teams and organizations that need AI Gateway, Prompt Injection, LLM Security, AI Governance, AI Compliance. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other AI Security tools can be found at https://cybersectools.com/categories/ai-security
Head-to-head feature, pricing, and rating breakdowns.
Platform securing AI apps and employee AI use via guardrails & threat detection.
Configurable guardrails for Amazon Bedrock AI requests via an API gateway.
Runtime AI policy enforcement: capture, evaluate, intervene, and investigate AI sessions.
