Sold by: Aristle AI
Deployed on AWS
Zumie AI Gateway provides real-time prompt inspection and policy enforcement, ensuring every agent interaction is secure, compliant, and aligned with organizational guardrails.
Overview
Zumie AI Gateway is a secure control layer for AI applications and agents, providing real-time prompt inspection, policy enforcement, and governance across all AI interactions. As organizations rapidly adopt LLMs and autonomous agents, Zumie ensures every prompt and response is evaluated against enterprise-defined guardrails; protecting sensitive data, preventing policy violations, and enabling safe, compliant AI usage at scale. The gateway integrates seamlessly with existing applications and LLM providers, acting as a centralized enforcement point before requests reach downstream systems.
Built for modern AI-driven enterprises, Zumie extends beyond traditional observability by enabling fine-grained control over agent behavior, data access, and execution pathways. It provides visibility into agent activity, enforces identity and access policies, and mitigates risks such as data leakage, prompt injection, and unauthorized actions. Whether deployed for internal copilots, customer-facing agents, or automated workflows, Zumie empowers organizations to confidently operationalize AI while maintaining security, compliance, and trust.
Here are the core feature areas of Zumie AI Gateway:
- Security & Guardrails
- Policy Enforcement & Governance
- Observability & Monitoring
- Routing & Orchestration
- Cost Control & Rate Limiting
- Integration & Extensibility
- Real-Time Control
Highlights
- Real-Time Guardrails & Policy Enforcement: Inspect and control every prompt and response before execution - preventing data leaks, prompt injections, and unauthorized actions. Zumie ensures AI operates within enterprise-defined policies, not just after-the-fact monitoring.
- End-to-End Visibility & Control: Gain full transparency into AI and agent behavior with detailed traces, audit logs, and usage insights. Know exactly what agents are doing, what data they access, and how decisions are made - eliminating the black box.
- Cost Control & Intelligent Traffic Routing: Optimize AI usage by dynamically routing requests across models based on cost, latency, and performance - while enforcing budgets, quotas, and rate limits to prevent overspend.
Details
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Amazon Linux 2023
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
You deploy this software on your own AWS EC2 instance, and the software itself carries no license fee. Your two options reflect the EC2 instance size you run it on, billed by the hour. The t3.large option uses a larger instance with more compute and memory. The t3.medium option uses a smaller instance. Pick the size based on the compute capacity your workload needs. Both bill hourly, so your cost scales with how long each instance runs. Any AWS infrastructure charges apply separately from this listing.
Top-of-mind questions for buyers
Both are general-purpose EC2 instance types. The t3.large offers more virtual CPUs and memory than the t3.medium. Pick t3.large for workloads needing more processing headroom, and t3.medium for lighter workloads. Each running instance meters one hour of software time per hour, though the software itself carries no license fee.
The software carries no license fee, so it adds no hourly software charge for either instance type. However, AWS bills its own infrastructure charges separately. A stopped instance may still incur AWS storage fees for attached volumes. Fully terminated instances stop accruing those AWS charges.
Each running instance meters independently by the hour. If you run a t3.large and a t3.medium at the same time, each accrues its own hourly charge. Your total reflects the combined running hours across all active instances. The software fee itself is zero for both.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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- Email: support@aristleai.com
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