> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getbifrost.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# GraySwan Cygnal
> Integrate GraySwan Cygnal Monitor with Bifrost for AI safety monitoring with natural language rule definitions, violation scoring, and advanced threat detection.
Bifrost integrates with **GraySwan Cygnal Monitor** to provide AI safety monitoring with natural language rule definitions and advanced threat detection capabilities. This page covers the configuration and capabilities of the GraySwan Cygnal guardrail provider.
## Capabilities
* **Violation Scoring**: Continuous 0-1 scale violation detection with configurable thresholds
* **Custom Natural Language Rules**: Define safety rules in plain English without code
* **Policy Management**: Use pre-built policies from GraySwan platform or create custom ones
* **Indirect Prompt Injection (IPI) Detection**: Identify hidden instructions in user inputs
* **Mutation Detection**: Detect attempts to manipulate or alter content
* **Reasoning Modes**: Choose from fast ("off"), balanced ("hybrid"), or thorough ("thinking") analysis
## Configuration Fields
| Field | Type | Required | Default | Description |
| --------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------- |
| `api_key` | string | Yes | - | GraySwan API key |
| `violation_threshold` | number | No | 0.5 | Score threshold (0-1) for triggering intervention. Lower values are more strict. |
| `reasoning_mode` | enum | No | "off" | Analysis depth: `off` (fastest), `hybrid` (balanced), or `thinking` (most thorough) |
| `policy_id` | string | No | - | Single custom policy ID from GraySwan platform |
| `policy_ids` | array | No | - | Multiple policy IDs for aggregated rule evaluation |
| `rules` | object | No | - | Custom natural language rules as key-value pairs |
## Custom Rules Example
Rules are defined as key-value pairs where the key is the rule name and the value is a natural language description:
```json theme={null}
{
"rules": {
"no_profanity": "Do not allow profanity or vulgar language",
"no_pii": "Do not allow personally identifiable information",
"professional_tone": "Ensure all responses maintain a professional tone"
}
}
```
## Detection Features
* Real-time violation scoring
* Multi-rule evaluation
* IPI attack detection
* Content mutation monitoring
* Detailed violation descriptions with rule attribution
## Provider Capabilities Comparison
| Capability | AWS Bedrock | Azure Content Safety | GraySwan | Patronus AI |
| ----------------------------- | ----------- | -------------------- | -------- | ----------- |
| PII Detection | Yes | No | No | Yes |
| Content Filtering | Yes | Yes | Yes | Yes |
| Prompt Injection | Yes | Yes | Yes | Yes |
| Hallucination Detection | No | No | No | Yes |
| Toxicity Screening | Yes | Yes | Yes | Yes |
| Custom Policies | Yes | Yes | Yes | Yes |
| Custom Natural Language Rules | No | No | Yes | No |
| Image Support | Yes | No | No | No |
| IPI Detection | No | Yes | Yes | No |
| Mutation Detection | No | No | Yes | No |
For information on configuring guardrail rules and profiles, see [Guardrails](/enterprise/guardrails).