AI red teaming & LLM evaluation
Mindgard is an AI red teaming platform from Mindgard. It is a commercial product offered as: SaaS, CLI. Pricing model: not published.
Best for
Security teams that want a hosted red teaming platform with a CLI and Burp Suite extension to test chatbots and LLM endpoints they own
Consider instead if
Mindgard is a commercial AI security platform whose core product is automated red teaming of AI models and agents. Tests start from a command-line client or a Burp Suite extension, which connect to Mindgard's hosted API. The hosted service orchestrates the attacks and stores results, and the docs also describe a web interface. The docs list jailbreak and prompt injection attacks, multi-turn techniques such as crescendo and actor_attack, reconnaissance commands including system prompt extraction, built-in safety datasets for toxicity and misinformation, and a MITRE ATLAS view of risks. Pricing is not published: the home page offers a demo request instead of a price list.
This summary is our own wording of the sourced facts on this page.
Each value links to the page that states it, with the date we checked it.
As documented by the vendor or project. The tag is our label from a controlled vocabulary.
Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.
| Layer | Role | How it applies | Based on |
|---|---|---|---|
| L4 Testing Testing and red teaming | Primary | Attack and evaluate models, apps and agents on purpose, before release and after every change, to find what the other layers miss. | Follows its category, AI red teaming & LLM evaluation |
The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.
| Risk | How it applies | Based on |
|---|---|---|
| LLM01 Prompt Injection | Runs prompt injection, jailbreak and multi-turn attacks against a target model or application. | Attack library covers jailbreak techniques that bypass an LLM's safety measures; Attack library covers prompt injection that encodes and hides malicious instructions; Runs multi-turn attacks with the actor_attack and crescendo techniques from the CLI |
| LLM07 System Prompt Leakage | Reconnaissance command that tries to extract the target's system prompt. | Reconnaissance command that tries to extract the target's system prompt |
| LLM09 Misinformation | Safety datasets include misinformation and disinformation prompts. | Built-in safety datasets include an information disorder set for misinformation and disinformation |
More in AI red teaming & LLM evaluation, ranked within the category by Coverage Score.
NVIDIA
Probes language models and LLM apps for prompt injection, jailbreaks, data leakage and more.
Best for: Teams that want a free command-line scanner they can point at any model or LLM endpoint before release
Reviewed
Giskard AI
Generates adversarial test suites for LLM agents and RAG apps, runs them and reports failures by threat type.
Best for: Python teams that want a free library to scan an LLM agent or RAG app for prompt injection and harmful output, and to write pass or fail checks for it
Reviewed
OpenAI (Promptfoo)
Runs evals and red team scans against LLM apps from a CLI or CI pipeline and writes a vulnerability report.
Best for: Developer teams that want one open-source CLI for both prompt evals and red teaming, run locally and in CI
Reviewed
The hosted platform is proprietary. The mindgard command-line client is published on PyPI under the MIT license, but it works with a Mindgard SaaS deployment.
The home page does not state plans or prices. Its calls to action are Book a Demo and Let's Talk.
Install the CLI with pip install mindgard, log in, create a project, then run recon, single-turn or multi-turn tests against a target URL. The system architecture docs also show Burp Suite as a way to start tests.
Mindgard is closed source (proprietary).
Source Source, checked October 21, 2026: docs.mindgard.ai (opens in a new tab) Checked
Mindgard is offered as: SaaS, CLI.
Source Source, checked October 21, 2026: docs.mindgard.ai (opens in a new tab) Checked
Pricing model for Mindgard: Not published in the sources we checked.
Source Source, checked October 21, 2026: mindgard.ai (opens in a new tab) Checked
Latest release of Mindgard: June 23, 2026.
Source Source, checked October 21, 2026: pypi.org (opens in a new tab) Checked
We have no commercial relationship with Mindgard.