> ## Documentation Index
> Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# List of Guardrail Checks
Each Guardrail Check has a specific purpose, it's own parameters, supported hooks, and sources.
## Partner Guardrails
* Scan prompts and responses for security threats
* Detect PII, toxicity, and prompt injections
* Real-time content analysis and filtering
* Validate custom Aporia policies via project ID
* Define policies on your Aporia dashboard
* Seamless integration with Portkey checks
* Detect and redact sensitive PII data
* Apply Azure's comprehensive content safety checks
* Enterprise-grade security compliance
* Analyze and redact PII to prevent manipulation
* Integrate AWS Guardrails directly in Portkey
* Advanced security policy enforcement
* Analyze content for security risks and jailbreaks
* Enforce custom policy violations detection
* AI-powered threat detection and prevention
* Detect and filter harmful content automatically
* Multi-dimensional content safety analysis
* Real-time moderation capabilities
* Guard LLM inputs and outputs with Text Guard
* Detect malicious content and data transfers
* Prevent model manipulation attempts
* Detect hallucinations and factual errors
* Assess quality: conciseness, helpfulness, tone
* Identify gender and racial bias in outputs
* Scan prompts and responses comprehensively
* Detect PII, toxicity, and injection attacks
* Enterprise security and compliance features
* Scan prompts for security vulnerabilities
* Analyze responses for policy violations
* Advanced threat detection and mitigation
The logic for all of the Guardrail Checks (including Partner Guardrails) is open source.
View it [here](https://github.com/Portkey-AI/gateway/tree/feat/plugins/plugins/default) and [here](https://github.com/Portkey-AI/gateway/tree/feat/plugins/plugins/portkey) on the Portkey Gateway repo.
## Bring Your Own Guardrail
We have built Guardrails in a very modular way, and support bringing your own Guardrail using a custom webhook! [Learn more here](/integrations/guardrails/bring-your-own-guardrails).
## Portkey's Guardrails
Along with the partner Guardrails, there are also deterministic as well as LLM-based Guardrails supported natively by Portkey.
`BASIC` Guardrails are available on all Portkey plans.
`PRO` Guardrails are available on Portkey Pro & Enterprise plans.
### `BASIC` — Deterministic Guardrails
Checks if the request or response text matches a regex pattern.
**Parameters**: rule: `string`
**Supported On**: `input_guardrails`, `output_guardrails`
Checks if the content contains a certain number of sentences. Ranges allowed.
**Parameters**: minSentences: `number`, maxSentences: `number`
**Supported On**: `input_guardrails`, `output_guardrails`
Checks if the content contains a certain number of words. Ranges allowed.
**Parameters**: minWords: `number`, maxWords: `number`
**Supported On**: `input_guardrails`, `output_guardrails`
Checks if the content contains a certain number of characters. Ranges allowed.
**Parameters**: minCharacters: `number`, maxCharacters: `number`
**Supported On**: `input_guardrails`, `output_guardrails`
Check if the response JSON matches a JSON schema.
**Parameters**: schema: `json`
**Supported On**: `output_guardrails` only
Check if the response JSON contains any, all or none of the mentioned keys.
**Parameters**: keys: `array`, operator: `string`
**Supported On**: `output_guardrails` only
Checks if the content contains any, all or none of the words or phrases.
**Parameters**: words: `array`, operator: `string`
**Supported On**: `output_guardrails` only
Checks if all the URLs mentioned in the content are valid
**Parameters**: onlyDNS: `boolean`
**Supported On**: `output_guardrails` only
Checks if the content contains code of format SQL, Python, TypeScript, etc.
**Parameters**: format: `string`
**Supported On**: `output_guardrails` only
Check if the given string is lowercase or not.
**Parameters**: format: `string`
**Supported On**: `input_guardrails`, `output_guardrails`
Check if the content ends with a specified string.
**Parameters**: Suffix: `string`
**Supported On**: `input_guardrails`, `output_guardrails`
Makes a webhook request for custom guardrails
**Parameters**: webhookURL: `string`, headers: `json`
**Supported On**: `input_guardrails`, `output_guardrails`
Check if the JWT token is valid.
**Parameters**:
JWKS URI: `string`,
Header Key: `string`,
Cache Max Age: `number`,
Clock Tolerance: `number`,
Max Token Age: `number` (in seconds)
**Supported On**: `input_guardrails`
Check if the inference model to be used is in the whitelist.
**Parameters**:
Models: `array`, Inverse: `boolean`
**Supported On**: `input_guardrails`
### `PRO` — LLM Guardrails
Checks if the content passes the mentioned content moderation checks.
**Parameters**: categories: `array`
**Supported On**: `input_guardrails` only
Checks if the response content is in the mentioned language.
**Parameters**: language: `string`
**Supported On**: `input_guardrails` only
Detects Personally Identifiable Information (PII) in the content.
**Parameters**: categories: `array`
**Supported On**: `input_guardrails`, `output_guardrails`
Detects if the content is gibberish.
**Parameters**: `boolean`
**Supported On**: `input_guardrails`, `output_guardrails`
You can now have configurable timeouts for Partner & Pro Guardrails!
## Contribute Your Guardrail
Integrate your Guardrail platform with Portkey Gateway and reach our growing user base.
Check out some [existing integrations](https://github.com/portkey-ai/gateway) to get started.