Product comparison
Verdictan vs. New Relic AI Monitoring
You need to diagnose AI failures without losing the application and infrastructure context around them.
Why Verdictan
Verdictan applies policy at the gateway and records request-level decision evidence for supported AI traffic. Run it in a self-hosted or air-gapped environment.
Key differences
Verdictan vs. New Relic AI Monitoring: Key differences
Verdictan governs supported model traffic, while New Relic extends APM into AI model and agent monitoring.
New Relic instruments AI through application agents
Supported APM agents capture model and vector-store metrics and events within the wider application context.
Inventory and traces expose usage and errors
Teams can review requests, response time, tokens, completions, errors, costs, and request-to-response traces.
Monitoring can record model inputs and outputs
New Relic warns that AI monitoring records streaming copies, including personal information, unless teams configure handling controls.
Side by side
Feature comparison
Scroll horizontally to review all comparison columns.
| Feature | Verdictan | New Relic AI Monitoring |
|---|---|---|
| Scope and instrumentation | ||
| Inline AI request enforcement | Documented | Not documented in the reviewed sources |
| Application-level APM instrumentation | Not documented in the reviewed sources | Documented |
| Supported-language auto-instrumentation | Not documented in the reviewed sources | Documented |
| Model input and output capture | Not documented in the reviewed sources | Documented |
| Traces and system context | ||
| Request-to-response traces | Documented | Documented |
| APM correlation | Documented | Documented |
| Per-model request metrics | Not documented in the reviewed sources | Documented |
| Agent service map | Documented | Limited: Preview |
| Performance, quality, and operations | ||
| Model cost tracking | Documented | Documented |
| Predeployment model cost and performance comparison | Not documented in the reviewed sources | Documented |
| User feedback | Documented | Documented |
| Alerts and dashboards | Documented | Documented |
Common questions
What to ask before you decide
How does New Relic collect AI monitoring data?
A supported APM agent captures metrics and events from configured AI libraries and frameworks.
Does New Relic record prompts and responses?
Yes. The install guide warns that monitoring records streaming copies of selected inputs and outputs.
Can New Relic drop sensitive event data?
Yes. Its documentation links to drop filters for sensitive information before transmission.
Is Agent Service Map generally available?
The February 2026 article asks users to sign up for preview access to the announced features.
What should the pilot measure?
Measure instrumentation coverage, trace continuity, cost accuracy, feedback links, privacy filtering, and gateway policy behavior.
How we researched this page
We checked the official sources below on Aug. 11, 2026. Product scope, plan access, beta status and support can change.
- Confirm supported agent versions, AI libraries, provider integrations, preview terms, sampling, retention, and account pricing.
- Configure consent, content capture, drop filters, and access before production data enters monitoring.
- Test gateway policy separately because APM instrumentation observes application behavior at a different control point.
- 1. Verdictan: Verdictan AI governance gateway
- 2. Verdictan: Verdictan product
- 3. Verdictan: Verdictan documentation overview
- 4. Verdictan: verdictan gateway run
- 5. Verdictan: OpenAI integration
- 6. Verdictan: Usage costs and budgets
- 7. New Relic: Introduction to AI monitoring
- 8. New Relic: Install AI monitoring
- 9. New Relic: New Relic AI monitoring is now generally available
- 10. New Relic: Introducing New Relic AI monitoring
- 11. New Relic: Next-Gen Agentic AI Monitoring
Verdictan is not affiliated with New Relic. Product names can be trademarks of their respective owners.
Put the comparison to work
Try Verdictan with representative traffic after you compare the documented boundaries.
You select controls that govern supported requests and connect AI behavior to application health.