> ## 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.

# Welcome to Vijil

> The trust layer for AI agents measure reliability, security, and safety, then ship with evidence.

<Tip>
  **TL;DR:** Vijil is the trust layer for [AI agents](/owner-guide/register-agents/what-is-an-agent), measuring [reliability](/concepts/trust-score/reliability), [security](/concepts/trust-score/security), and [safety](/concepts/trust-score/safety) before deployment (Diamond) and protecting agents at runtime (Dome). Start with [Concepts](/concepts/trust-score/introduction) for the mental model, or jump to the [Owner's Guide](/owner-guide/getting-started/introduction) or [Developer Guide](/developer-guide/getting-started/introduction) to get started.
</Tip>

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](/concepts/trust-score/introduction)** summarizes how an agent performs across **[reliability](/concepts/trust-score/reliability)**, **[security](/concepts/trust-score/security)**, and **[safety](/concepts/trust-score/safety)**; so reviews can reference evidence instead of opinions. Under that umbrella, **[Diamond](/concepts/platform/diamond)** probes behavior in depth through Trust Score evaluations and adaptive [Red Team](/concepts/platform/diamond#red-team-in-diamond) campaigns, while **Dome** enforces **[Guardrails](/concepts/defense/guardrail)** at runtime.

## How Vijil Measures Trust

| Dimension       | Question                                                       | Learn more                                       |
| --------------- | -------------------------------------------------------------- | ------------------------------------------------ |
| **Reliability** | Does the agent do the right thing, consistently, under stress? | [Reliability](/concepts/trust-score/reliability) |
| **Security**    | Can it resist abuse and protect sensitive data?                | [Security](/concepts/trust-score/security)       |
| **Safety**      | Does it stay within policy and avoid harmful outcomes?         | [Safety](/concepts/trust-score/safety)           |

Start with the full model in [Trust Score](/concepts/trust-score/introduction).

## 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](/concepts/defense/guardrail) do not ensure agents are
  safe for their specific context

* Failure insights do not feed back into development, leaving the
  trust gap open

<img src="https://mintcdn.com/vijil/t1_8aRtSIj494eFA/images/concepts/what-is-vijil/vijil_lifecycle.webp?fit=max&auto=format&n=t1_8aRtSIj494eFA&q=85&s=c48c864ff2723e7574fdad1e35ab3984" alt="Vijil lifecycle: Ship with Diamond, Run with Dome" style={{maxWidth: '500px', margin: '1.5rem auto', display: 'block'}} className="theme-aware-image" width="493" height="493" data-path="images/concepts/what-is-vijil/vijil_lifecycle.webp" />

**Vijil Diamond**
Automates evaluation based on custom bespoke policies for
business context and personas. Turns 'is this safe?' into an
answerable question with an audit-ready Trust Score.

**Vijil Dome**
Enforces policies to protect and monitor agents at runtime
through embedded Guardrails, blocking attacks in real-time and
logging detailed telemetry.

## Continue with Vijil

Pick where you work and what you need next:

<CardGroup cols={1}>
  <Card title="Concepts" icon="book-open-text" href="/concepts/trust-score/introduction">
    You want the mental model - [Trust Score](concepts/trust-score/introduction), evaluation components ([Harness](/concepts/evaluation-components/harness), [Scenario](/concepts/evaluation-components/scenario), [Probe](/concepts/evaluation-components/probe)), and Defense ([Guards](/concepts/defense/guard), [Guardrails](/concepts/defense/guardrail), [Detectors](/concepts/defense/detector)).

    **Start here** → [Trust Score](/concepts/trust-score/introduction), then explore this tab for deeper topics and the [Glossary](/concepts/glossary).
  </Card>

  <Card title="Agent Owner's Guide" icon="building-2" href="/owner-guide/getting-started/introduction">
    You use the Vijil console to [register agents](/owner-guide/register-agents/registering-agents), [run evaluations](/owner-guide/run-evaluations/running-evaluations), configure Dome, and report to stakeholders.

    **Start here** → [Get started](/owner-guide/getting-started/introduction) in the console.
  </Card>

  <Card title="Agent Developer's Guide" icon="code" href="/developer-guide/getting-started/introduction">
    You integrate Vijil via SDKs & APIs, frameworks (e.g. LangChain, ADK), and production wiring.

    **Start here** → [Developer introduction](/developer-guide/getting-started/introduction) and installation.
  </Card>
</CardGroup>

### Quick Resources

* **Evaluate in the UI** → [Get started](/owner-guide/getting-started/introduction)
* **Protect in production** → [Configuring Guardrails](/owner-guide/protect-in-production/configuring-guardrails)

## Coming Soon

Two additional products are currently in development and will expand the Vijil platform:

<CardGroup cols={2}>
  <Card title="Depot" icon="box" badge="Coming Soon">
    A catalog of hardened models and building blocks, including [Guardrail](/concepts/defense/guardrail) models tuned for agent safety, hardened LLMs optimized for specific tasks, and pre-validated components that reduce months of security work to days.
  </Card>

  <Card title="Darwin" icon="dna" badge="Coming Soon">
    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.
  </Card>
</CardGroup>