# Guardrails AI AI visibility in LLM Security & AI Guardrails

Canonical: https://devtune.ai/verticals/llm-security-guardrails/guardrails-ai

[Website](https://www.guardrailsai.com/)

Latest AI responses: 2026-11-14
[Tracked on paid plans](https://devtune.ai/pricing): Google AI Mode, Microsoft Bing Copilot Search, Claude with web search, Grok Search
Prompts: 25
Runs: 3


## Platforms

- google-ai
- perplexity
- chatgpt-search

Rank: 3
Joint rank: true
Total brands: 7
Measured responses: 75
Presence percent: 2.666666666666667
Share of voice percent: 3.571428571428571
Average position: 3.5
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 12


## Profile

Overview: Guardrails AI is a San Francisco Bay Area company, founded in 2023, that builds open-source tooling for making generative AI applications more reliable and safe. Its main product is the Guardrails Python framework. It runs input and output Guards built from validators, which detect, quantify and mitigate risks such as PII leakage, toxicity, hallucination and jailbreak attempts. It also helps generate structured data from LLMs. The Guardrails Hub catalogs pre-built validators. A Guardrails Server option supports production deployment. The company has also launched Snowglobe, a simulation engine that creates synthetic conversations and evaluation datasets to test chatbots and agents before release. The company announced a $7.5M seed round in February 2024. Its website describes it as an AI reliability platform and lists SOC 2 Type II certification for its enterprise offerings.
Product summary: Guardrails AI offers an open-source Python framework (Apache-2.0) for adding input and output Guards to LLM applications. Guards combine validators from the Guardrails Hub to detect and mitigate risks. It also offers a deployable Guardrails Server and Snowglobe, a simulation platform for testing chatbots. Enterprise options include SOC 2 Type II compliance and deployment in the customer's own environment.


### Key capabilities

- Input and output Guards that detect, quantify and mitigate specific risks in LLM interactions
- Guardrails Hub: a catalog of pre-built validators, such as PII detection, toxic language and regex match
- Structured data generation from LLMs
- Custom validators written as functions or classes
- Configurable on-fail policies, such as re-asking the LLM or raising an exception
- Guardrails Server with OpenAI-SDK-compatible endpoints
- Snowglobe simulation engine that generates synthetic user personas and conversations to stress-test chatbots
- Judge-labeled evaluation datasets
- Guardrails Index benchmark comparing 24 guardrails across 6 categories



### Target users

- AI/ML engineers building LLM applications
- Application developers integrating LLMs
- Platform and MLOps teams deploying GenAI to production
- QA and AI safety teams testing chatbots and agents
- Teams in regulated industries



### Key use cases

- PII detection and masking in LLM outputs
- Hallucination and factuality checks
- Toxicity, tone and policy enforcement
- Jailbreak and prompt-injection screening
- Generating structured, validated JSON from LLMs
- Pre-deployment chatbot and agent testing through simulated conversations
- Creating synthetic eval and training datasets

Integrations ecosystem: The core library is Apache-2.0 on GitHub (guardrails-ai/guardrails, about 7.6k stars). It works with proprietary and open-source LLMs. Guardrails Hub is a catalog of validators. Validators are now published as standard PyPI packages named guardrails-ai-, and no API key is needed to use them. Guardrails can also run as a server (Guardrails Server / guardrails-api, a FastAPI application) with OpenAI-SDK-compatible endpoints, and the docs include a guide to deploying on AWS. Users can write and contribute custom validators.
Pricing summary: Not available
Review summary: No verified ratings from major review platforms (G2, Gartner Peer Insights) were found for Guardrails AI. Qualitative sources are limited. FAUN.dev scored it 75/100, with high marks for pricing transparency and policy control and its lowest mark for latency overhead. A Fuzzy Labs evaluation flagged weak jailbreak detection.
Competitive positioning: Guardrails AI is positioned as an open-source, developer-first Python framework for runtime validation of LLM inputs and outputs. Its Guards are built from modular validators. It also offers Snowglobe, a simulation product for testing chatbots and agents. Several vendors in this vertical sell security platforms aimed at security teams, such as Lakera, HiddenLayer, Noma Security, Lasso Security and Prompt Security. Guardrails AI differs from them mainly by being a developer library with structured-output and validation features, rather than an enterprise security platform. In a third-party test by Fuzzy Labs, it detected 54.55% of jailbreak attempts. That is a single test, so treat it as limited evidence.
Limitations: A third-party Fuzzy Labs test found Guardrails AI detected only 54.55% of jailbreak attempts, missing more complex adversarial prompts. The same source gave the tool a low score for latency overhead. The project is a developer framework, not a full enterprise AI security platform. Hosted remote inference endpoints for validators are being discontinued in 2026, so teams must run validator models locally or host their own endpoints. The Hub CLI install workflow is deprecated in favor of pip.


### Source urls

- https://www.guardrailsai.com/
- https://github.com/guardrails-ai/guardrails
- https://guardrailsai.com/guardrails/docs
- https://guardrailsai.com/guardrails/docs/concepts/validators
- https://guardrailsai.com/guardrails/docs/guardrails-server
- https://guardrailsai.com/hub/keys
- https://guardrailsai.com/guardrails/docs/concepts/remote_validation_inference
- https://guardrailsai.com/use-cases/ai-guardrails
- https://guardrailsai.com/blog/scaling-ai-safety-testing
- https://www.globenewswire.com/news-release/2024/02/15/2830261/0/en/Guardrails-AI-is-Solving-the-LLM-Reliability-Problem-for-AI-Developers-With-7-5-Million-in-Seed-Funding.html
- https://techcrunch.com/2024/02/15/guardrails-ai-builds-hub-for-genai-model-mitigations/
- https://www.geekwire.com/2024/guardrails-ai-a-startup-co-founded-by-seattle-tech-vet-diego-oppenheimer-raises-7-5m/
- https://www.bangkokpost.com/business/investment/2775099/scb-10x-invests-in-guardrails-ai-round
- https://www.marktechpost.com/2025/08/14/guardrails-ai-introduces-snowglobe-the-simulation-engine-for-ai-agents-and-chatbots/
- https://www.fuzzylabs.ai/case-studies/mlops-helping-uncover-critical-flaws-in-ai-security-tools
- https://faun.dev/toolbox/guardrails-ai/review/
- https://www.appsruntheworld.com/customers-database/products/view/guardrails-ai-enterprise

Research approved: 2026-11-05T14:14:49.225+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| SCB 10X | SCB 10X used Snowglobe to test an educational chatbot (RISA AI). It generated and ran 400+ test cases in a day, where manual testing had taken 2-3 people at least a week. The chatbot launched to 9,000+ students across 300 schools in Thailand. | 400 test cases in one day vs. a week of manual testing |
| MasterClass | According to Guardrails AI's site, MasterClass found Snowglobe's synthetic user personas more realistic than other synthetic data it had seen. It has switched to using Snowglobe for this data. | Not available |



### Reviews breakdown





### Review themes



#### Praised

- Pricing transparency and policy control (FAUN.dev scorecard)
- Open-source, modular validator approach
- Large catalog of reusable validators in the Hub



#### Criticized

- Missed complex adversarial jailbreaks in a third-party test (54.55% detection)
- Latency overhead scored lowest in the FAUN.dev review




### Company facts

Founded year: 2023
Hq: San Francisco Bay Area, California, USA (Menlo Park per a third-party database)


#### Founders

- Shreya Rajpal
- Diego Oppenheimer
- Safeer Mohiuddin
- Zayd Simjee

Employees range: Not available
Total funding: $7.5M
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Lakera | 14 | 75 | 18.666666666666668 | 4.7105263157894735 |
| HiddenLayer | 5 | 75 | 6.666666666666667 | 6.8 |
| Guardrails AI | 2 | 75 | 2.666666666666667 | 3.5 |
| Noma Security | 2 | 75 | 2.666666666666667 | 4.75 |
| Lasso Security | 1 | 75 | 1.3333333333333335 | 3.5 |
| Arthur Shield | 0 | 75 | 0 | Not available |
| Prompt Security | 0 | 75 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| google-ai | 0 | 0 |
| perplexity | 2 | 8 |
| chatgpt-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which open-source guardrail frameworks give engineers full control over validation rules and are production-ready? | 1 | 1 |
| What are my options for LLM guardrails with a free tier so a startup can test jailbreak and data-leak screening before paying? | 1 | 6 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which LLM security tools work with any model provider and orchestration framework, so we can switch models without changing protection? | 2 |
| Which platforms scan third-party and open-source models for backdoors or malicious code before we deploy them? | 2 |
| What LLM security platforms let non-ML security analysts tune policies and review blocked requests in a dashboard? | 1 |
| Which prompt injection protection tools can a small team put in front of a customer-facing chatbot this week without a long sales process? | 1 |
| Which AI security platforms are easiest to deploy as a drop-in layer without rewriting an existing LLM application? | 1 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 0 |
| Developer Experience | 5 | 1 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 0 |
| Setup & First Run | 5 | 1 |



## Prompt results

- Prompt text: What are my options for LLM guardrails with a free tier so a startup can test jailbreak and data-leak screening before paying?


#### Brand position by platform

Google-ai: Not available
Perplexity: 6
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Guardrails AI | 6 |



##### Chatgpt-search




- Prompt text: What LLM security platforms let non-ML security analysts tune policies and review blocked requests in a dashboard?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 3 |


- Prompt text: Which LLM security tools avoid lock-in by supporting open policy formats and exporting detection logs?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search




- Prompt text: Which LLM security tools work with any model provider and orchestration framework, so we can switch models without changing protection?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Lakera | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 1 |
| Lasso Security | 3 |


- Prompt text: Which open-source guardrail frameworks give engineers full control over validation rules and are production-ready?


#### Brand position by platform

Google-ai: Not available
Perplexity: 1
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Guardrails AI | 1 |



##### Chatgpt-search




- Prompt text: Which prompt injection protection tools can a small team put in front of a customer-facing chatbot this week without a long sales process?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Lakera | 1 |



##### Chatgpt-search




- Prompt text: Which AI security platforms are easiest to deploy as a drop-in layer without rewriting an existing LLM application?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 1 |


- Prompt text: Which LLM security products offer a self-hosted or private deployment for a regulated company that can't send prompts to a third-party cloud?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 1 |


- Prompt text: What are the best AI firewalls for enterprises that need to enforce policy inline across multiple model providers without becoming a bottleneck?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 7 |


- Prompt text: What are the best AI security platforms for a company already standardized on a large network security vendor's ecosystem?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search




- Prompt text: What AI security platforms have published benchmarks or independent testing for prompt injection detection accuracy?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search




- Prompt text: Which LLM security products detect and redact sensitive data such as PII and secrets in both prompts and model outputs?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Lakera | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 4 |


- Prompt text: Which AI security vendors keep detection up to date as new jailbreak techniques appear, and how do they prove it?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| HiddenLayer | 5 |


- Prompt text: Which runtime AI protection tools scale to millions of requests per day and stay available if a screening call fails?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 2 |


- Prompt text: Which AI guardrail tools give application developers a simple API and clear verdicts, so they can act on a flagged prompt without guessing?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 1 |


- Prompt text: Which AI security tools detect indirect prompt injection hidden in documents, web pages and emails that an AI agent reads?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 1 |
| HiddenLayer | 2 |


- Prompt text: Which platforms scan third-party and open-source models for backdoors or malicious code before we deploy them?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| HiddenLayer | 1 |



##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| HiddenLayer | 1 |


- Prompt text: What are the best AI security tools that produce actionable red-team reports a product team can fix, not just a list of failures?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search




- Prompt text: What should I look at when choosing a first AI security tool for a company just rolling out an internal AI assistant to employees?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search




- Prompt text: Which AI security platforms keep false positives low so legitimate user prompts aren't blocked and support tickets don't pile up?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search




- Prompt text: What are the best platforms for controlling AI agents' tool calls, including blocking risky actions when they connect to MCP servers?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai

| Display name | Position |
| --- | --- |
| Noma Security | 1 |



##### Perplexity





##### Chatgpt-search




- Prompt text: Which AI security products integrate with an existing LLM gateway or proxy to apply policies centrally?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Lakera | 1 |


- Prompt text: What AI guardrail platforms send alerts into our existing SIEM and security operations workflow?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| HiddenLayer | 1 |
| Lakera | 2 |


- Prompt text: What are my options for tools that discover which AI apps, models and agents employees are using across the company, and enforce policies on them?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Noma Security | 5 |


- Prompt text: Which LLM guardrail services add the least latency to each request, so a real-time chat or voice experience isn't slowed?


#### Brand position by platform

Google-ai: Not available
Perplexity: Not available
Chatgpt-search: Not available



#### Platform rows



##### Google-ai





##### Perplexity





##### Chatgpt-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://guardrailsai.com/guardrails/docs/concepts/validators.md | validators.md | guardrailsai.com | Not available | commercial | documentation | 1 | 1 |
| https://guardrailsai.com/blog/advanced-pii-and-jailbreak | Introducing Advanced PII Detection and Jailbreak ... | guardrailsai.com | Not available | commercial | blog_post | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which open-source guardrail frameworks give engineers full control over validation rules and are production-ready? | google-ai | Guardrails AI gives the most direct code-level control over input/output validation, schema enforcement, and custom Python validators. |
| Which AI guardrail tools give application developers a simple API and clear verdicts, so they can act on a flagged prompt without guessing? | google-ai | Guardrails AI * The Verdict: Wraps inputs and outputs with programmatic "validators" that throw validation errors or return structured failure objects if constraints (like PII detection, toxic language, or Pydantic data schemas) are breached. |
| What are my options for LLM guardrails with a free tier so a startup can test jailbreak and data-leak screening before paying? | google-ai | Guardrails AI * What it does: A Python framework that uses a "Hub" of validators to wrap your LLM inputs and outputs. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| perplexity | Lakera | Lakera Guard (now Check Point AI Guardrails) is the clearest match in the search results. |
| chatgpt-search | Lakera | ## Shortlist of LLM security tools These are the strongest candidates to evaluate: 1. Check Point AI Guardrails (Lakera) Strong model-agnostic option - Model-independent HTTP API. |
| chatgpt-search | Lasso Security | Sources: Introduction to AI Agent SecurityAPI Overview Documentation 2. Lasso Security Strong framework/gateway independence - Integrates with Kong, Envoy, TrueFoundry, Portkey and LiteLLM. |
| google-ai | HiddenLayer | HiddenLayer (Model Scanning): One of the leading enterprise solutions for ML security. |
| chatgpt-search | HiddenLayer | ## Platforms worth evaluating \| Platform \| Type \| Main security capabilities \| \| --- \| --- \| --- \| \| HiddenLayer Model Scanner \| Commercial \| Malware, backdoors, vulnerabilities, model integrity, and model lineage. |
| chatgpt-search | Lakera | The strongest initial candidates are Check Point Lakera, Netskope AI Guardrails, SentinelOne Prompt Security, and Radware LLM Firewall. |
| perplexity | Lakera | \| Option \| Why it’s practical for a small team \| Caveat \| \|---\|---\|---\| \| Lakera Guard \| Self-serve Community access offers up to 10,000 requests/month. |
| chatgpt-search | Lakera | My shortlist would be: 1. Check Point AI Guardrails (formerly Lakera Guard) – strong enterprise runtime security with centralized enforcement. |



## Trend

Visibility delta: 0
Avg position delta: 1.5
Citation count delta: -1