Agents often stall before production: security and compliance need proof, not demos. Vijil turns that into measurable trust, systematic evaluation, runtime protection, and a feedback loop from real behavior. Trust Score summarizes how an agent performs across reliability, security, and safety; so reviews can reference evidence instead of opinions. Under that umbrella, Diamond probes behavior in depth, while Dome enforces Guardrails at runtime.Documentation Index
Fetch the complete documentation index at: https://docs.vijil.ai/llms.txt
Use this file to discover all available pages before exploring further.
How Vijil Measures Trust
| Dimension | Question | Learn more |
|---|---|---|
| Reliability | Does the agent do the right thing, consistently, under stress? | Reliability |
| Security | Can it resist abuse and protect sensitive data? | Security |
| Safety | Does it stay within policy and avoid harmful outcomes? | Safety |
Build, Ship, Run, Evolve
Agent prototypes are everywhere—but most do not make it to production. To scale AI, enterprises face a critical choice: ship fast or ship resilient.- Agent prototypes are everywhere—but most do not make it to production
- Shipping fast increases failure rates and elevates risk; without objective trust evidence, agents are in security limbo
- Generic red-teaming and Guardrail do not ensure agents are safe for their specific context
- Failure insights do not feed back into development, leaving the trust gap open
Continue with Vijil
Pick where you work and what you need next:Concepts
You want the mental model - Trust Score, evaluation components (Harness, Scenario, Probe), and Defense (Guards, Guardrails, Detectors).Start here → Trust Score, then explore this tab for deeper topics and the Glossary.
Agent Owner's Guide
You use the Vijil console to register agents, run evaluations, configure Dome, and report to stakeholders.Start here → Get started in the console.
Agent Developer's Guide
You integrate Vijil via SDKs & APIs, frameworks (e.g. LangChain, ADK), and production wiring.Start here → Developer introduction and installation.
Quick Resources
- Evaluate in the UI → Get started
- Protect in production → Configuring Guardrails
Coming Soon
Two additional products are currently in development and will expand the Vijil platform:Depot
A catalog of hardened models and building blocks—Guardrail models tuned for agent safety, hardened LLMs optimized for specific tasks, and pre-validated components that reduce months of security work to days.
Darwin
Continuous improvement powered by reinforcement learning over production telemetry. Darwin learns from real-world failures, edge cases, and behavior drift to keep your agents resilient over time.