> ## Documentation Index > Fetch the complete documentation index at: https://portkey-docs-migration-03-llm-providers.mintlify.site/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 * Analyze and redact PII to prevent manipulation \* Integrate AWS Guardrails directly in Portkey \* Advanced security policy enforcement * Detect and redact sensitive PII data \* Apply Azure's comprehensive content safety checks \* Enterprise-grade security compliance * Platform to secure your entire AI journey, with visibility at every step, protection against emerging AI threats across GenAI, Agents & MCPs, and the confidence to innovate at scale * 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 * Real-time threat detection across all OSI layers (1-7) \* Block prompt injections, data leakage, and model DoS attacks * 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 * Best in class evaluation and guardrails for agents, RAG and chat bots. Detect and mitigate hallucinations, grounding issues, and any custom policies. 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 using JWKS signature verification or token introspection.
**Validation Methods**: * JWKS-based validation (via URI or inline JSON) * Token introspection (RFC 7662) **Parameters**: JWKS URI: `string`, JWKS: `object`, Introspect Endpoint: `string`, Introspect Content Type: `string`, Introspect Cache Max Age: `number`, Header Key: `string`, Cache Max Age: `number`, Clock Tolerance: `number`, Max Token Age: `string`, Required Claims: `array`, Claim Values: `object`, Header Payload Match: `array`, Extract Claims: `array`, Claim Prefix: `string` **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.