AI red teaming & LLM evaluation
Adversa AI is an AI red teaming and agent security platform from Adversa AI. It is a commercial product offered as: SaaS, On-prem, Managed service. Pricing model: not published.
Best for
Teams that want a vendor to run continuous red teaming across models, applications, agents and MCP servers, with on-prem or managed-service options
Consider instead if
Adversa AI sells AI security products and services. Its red teaming offering is described as an autonomous engine that tests four layers: the model, the application, the agent and MCP infrastructure. Attacks progress from a static library through a mutation engine to adaptive and AI-generated attacks. The page cites more than 60 vulnerability categories, including prompt injection, data leakage and jailbreaks, and three depth tiers from about 100 attacks to 100,000. Output includes risk-ranked findings and reports mapped to frameworks such as OWASP, MITRE ATLAS and NIST AI RMF. It can run as cloud SaaS, hybrid, on-prem or as a managed service. No pricing is published; the call to action is a demo request. Adversa also lists a separate Coding Agent Security Platform.
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 | Prompt injection and jailbreaks are named among its vulnerability categories. | Tests for prompt injection among more than 60 vulnerability categories; Tests for jailbreaks among more than 60 vulnerability categories |
| LLM02 Sensitive Information Disclosure | Data leakage is named among its vulnerability categories. | Tests for data leakage among more than 60 vulnerability categories |
| LLM06 Excessive Agency | Tests agents for tool hijack and goal manipulation, and MCP servers for tool misuse and privilege escalation. | Tests agents for tool hijack, goal manipulation and inter-agent attacks, and MCP servers for tool misuse and privilege escalation |
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 red teaming product is not. Its GitHub organization lists two public repositories, and neither is the commercial platform. Adversa also maintains SecureClaw, a separate open-source framework for AI agents.
The vendor page describes four layers: the model, the application, the agent and MCP infrastructure. It cites more than 60 vulnerability categories, including prompt injection, data leakage and jailbreaks.
The vendor page lists Cloud SaaS, Hybrid, On-prem or air-gapped, and a managed service. No pricing is published; the call to action is a demo request.
Adversa AI is closed source (proprietary).
Source Source, checked October 21, 2026: github.com (opens in a new tab) Checked
Adversa AI is offered as: SaaS, On-prem, Managed service.
Source Source, checked October 21, 2026: adversa.ai (opens in a new tab) Checked
Pricing model for Adversa AI: Not published in the sources we checked.
Source Source, checked October 21, 2026: adversa.ai (opens in a new tab) Checked
Status of Adversa AI: Active.
Source Source, checked October 21, 2026: adversa.ai (opens in a new tab) Checked
We have no commercial relationship with Adversa AI.