AI security penetration testing providers
42 published entries state AI security penetration testing on their AI testing pages. Between them they name 8 AI product types.
Penetration testing of AI features, including prompt injection, data exfiltration and abuse of agent tools.
prompt injection: Input crafted to override a model's instructions or extract hidden data.Showing 42 of 42. Default order: coverage score, then name. How the score works.
| Rank | Company type | AI products (as stated) | Services | Verified | |||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | DeviQA | Pure-play QA company | Poland, Warsaw | LLM applicationsAI agentsRecommender and ranking systemsPredictive ML modelsComputer visionVoice AI | 8 | 2010 | 16 | 2026-11-09 | |
| 2 | ImpactQA | Pure-play QA company | United States | LLM applicationsAI agentsComputer visionVoice AIRecommender and ranking systems | 9 | 15 | 2026-11-09 | ||
| 4 | BetterQA | Pure-play QA company | Romania, Cluj-Napoca | LLM applicationsAI agentsVoice AI | 9 | 2018 | 14 | 2026-11-09 | |
| 4 | QATestLab | Pure-play QA company | Cyprus | LLM applicationsAI agentsPredictive ML models | 10 | 14 | 2026-11-09 | ||
| 4 | TestingXperts | Pure-play QA company | United States | LLM applicationsAI agentsVoice AI | 10 | 14 | 2026-11-09 | ||
| 4 | Testriq | Pure-play QA company | India, Mira-Bhayandar | LLM applicationsAI agentsPredictive ML models | 9 | 2010 | 14 | 2026-11-09 | |
| 11 | Fulminous Software | IT services firm with a QA practice | India, Jaipur | Voice AIAI agentsAutonomous and embedded AI | 7 | 2019 | 12 | 2026-11-09 | |
| 14 | QA Madness | Pure-play QA company | Poland, Warsaw | LLM applicationsAI agentsRecommender and ranking systems | 7 | 11 | 2026-11-09 | ||
| 14 | QAwerk | Pure-play QA company | Ukraine, Kyiv | LLM applicationsAI agents | 7 | 2015 | 11 | 2026-11-09 | |
| 18 | KiwiQA | Pure-play QA company | Australia, Bella Vista | LLM applications | 7 | 2009 | 10 | 2026-11-09 | |
| 18 | Sparkout Tech | IT services firm with a QA practice | India, Coimbatore | Predictive ML models | 7 | 2017 | 10 | 2026-11-09 | |
| 23 | Codoid | Pure-play QA company | India, Chennai | LLM applicationsAI agents | 5 | 2012 | 9 | 2026-11-09 | |
| 23 | Luxe Quality | Pure-play QA company | United States, McLean | Computer visionVoice AIPredictive ML models | 5 | 9 | 2026-11-09 | ||
| 29 | AIDX Tech | AI assurance and audit specialist | Singapore, Singapore | LLM applicationsAI agentsVoice AIComputer vision | 4 | 8 | 2026-11-09 | ||
| 40 | Innodata | Data and evaluation vendor | United States, Ridgefield Park | LLM applicationsGenerative media | 4 | 6 | 2026-11-09 | ||
| 40 | Pen Test Partners | Security firm with AI testing | United Kingdom, Buckingham | LLM applicationsAI agents | 1 | 2010 | 6 | 2026-11-09 | |
| 40 | Qualysec | Security firm with AI testing | India, Bhubaneswar | LLM applicationsAI agents | 3 | 6 | 2026-11-09 | ||
| 40 | ScienceSoft | IT services firm with a QA practice | United States, McKinney | LLM applicationsAI agents | 2 | 1989 | 6 | 2026-11-09 | |
| 40 | Software Secured | Security firm with AI testing | Canada, Ottawa | LLM applicationsAI agents | 3 | 6 | 2026-11-09 | ||
| 50 | Artifice Security | Security firm with AI testing | United States, Denver | LLM applicationsAI agents | 2 | 2019 | 5 | 2026-11-09 | |
| 50 | Bishop Fox | Security firm with AI testing | United States, Tempe | LLM applicationsAI agents | 2 | 5 | 2026-11-09 | ||
| 50 | Bridewell | Security firm with AI testing | United Kingdom, Reading | LLM applications | 2 | 2013 | 5 | 2026-11-09 | |
| 50 | DeepStrike | Security firm with AI testing | United States | LLM applications | 2 | 2016 | 5 | 2026-11-09 | |
| 50 | HackerOne | Security firm with AI testing | United States, San Francisco | LLM applicationsAI agents | 3 | 5 | 2026-11-09 | ||
| 50 | Knovel Engineering | IT services firm with a QA practice | Singapore, Singapore | LLM applications | 4 | 5 | 2026-11-09 | ||
| 50 | Praetorian | Security firm with AI testing | United States, Austin | LLM applicationsAI agents | 3 | 5 | 2026-11-09 | ||
| 50 | Redbot Security | Security firm with AI testing | United States, Denver | LLM applicationsAI agents | 2 | 5 | 2026-11-09 | ||
| 61 | 7ASecurity | Security firm with AI testing | Ireland, Dublin | LLM applicationsAI agents | 2 | 4 | 2026-11-09 | ||
| 61 | DataArt | IT services firm with a QA practice | United States, New York | LLM applications | 1 | 1997 | 4 | 2026-11-09 | |
| 61 | IBA Group | IT services firm with a QA practice | Czech Republic, Prague | LLM applicationsAI agents | 1 | 4 | 2026-11-09 | ||
| 61 | IBM | IT services firm with a QA practice | United States, Armonk | LLM applications | 2 | 1911 | 4 | 2026-11-09 | |
| 61 | Nexigen | IT services firm with a QA practice | United States, Newport | LLM applicationsAI agents | 2 | 4 | 2026-11-09 | ||
| 61 | Vaadata | Security firm with AI testing | France, Lyon | LLM applicationsAI agents | 2 | 4 | 2026-11-09 | ||
| 61 | Welo Data | Data and evaluation vendor | United States | LLM applications | 3 | 4 | 2026-11-09 | ||
| 61 | WorkNest | United Kingdom, London | LLM applicationsAI agents | 2 | 4 | 2026-11-09 | |||
| 74 | Anvil Secure | Security firm with AI testing | United States, Seattle | LLM applications | 2 | 3 | 2026-11-09 | ||
| 74 | BreachLock | Security firm with AI testing | United States, New York | LLM applications | 1 | 3 | 2026-11-09 | ||
| 74 | Bugcrowd | Security firm with AI testing | United States, San Francisco | LLM applications | 1 | 2012 | 3 | 2026-11-09 | |
| 74 | CrowdStrike | Security firm with AI testing | United States, Austin | LLM applications | 2 | 3 | 2026-11-09 | ||
| 74 | Dionach | Security firm with AI testing | United Kingdom, Oxford | LLM applications | 2 | 3 | 2026-11-09 | ||
| 74 | NetSPI | Security firm with AI testing | United States, Minneapolis | LLM applications | 2 | 3 | 2026-11-09 | ||
| 86 | Synack | Security firm with AI testing | United States, Redwood City | LLM applications | 1 | 2 | 2026-11-09 |
Product types covered by vendors stating this service
Count of entries on this page that state each product type.
| Product type | AI security penetration testing |
|---|---|
| LLM applications | 39 |
| AI agents | 25 |
| Voice AI | 7 |
| Computer vision | 4 |
| Predictive ML models | 5 |
| Recommender and ranking systems | 3 |
| Generative media | 1 |
| Document AI | 0 |
| Autonomous and embedded AI | 1 |
Scope and standards referenced
Prompt injection, data exfiltration, agent and tool abuse, supply chain; OWASP LLM Top 10.
- OWASP Top 10 for LLM Applications: list of the main security risks in LLM applications
- MITRE ATLAS: knowledge base of adversary tactics against AI systems
The directory lists which vendors state this service. It does not test whether a vendor applies these standards.
Related
Product types
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Guides
Questions
What is AI penetration testing?
AI penetration testing attacks an application built on a model the way a real attacker would: through prompts, retrieved documents, tools and integrations. The goal is to find paths to data exposure, unauthorised actions or service abuse. 42 published entries state AI security penetration testing.
What does an LLM penetration test cover?
Typical scope is prompt injection, system prompt and data leakage, insecure output handling, abuse of tools and plugins, access control around retrieved data, and denial of service through costly requests. Many reports map findings to the OWASP Top 10 for LLM Applications.
What is prompt injection testing?
Prompt injection testing tries to override the model's instructions through user input or through content the model reads, such as documents, web pages or emails. Testers check whether injected text can change behaviour, reveal hidden prompts or trigger tool calls.
How do you choose a company to penetration test an AI application?
Check that the vendor's own AI page describes testing of applications like yours, which reference list it maps findings to, whether testers are its own staff, and what the report contains. The table on this page lists every published entry that states this service, ordered by coverage score.
What is MCP security testing?
MCP is the Model Context Protocol, a standard way for AI agents to connect to tools and data sources. MCP security testing checks those connections: tool permissions, authentication, injected instructions in tool output, and what an agent can do through each server.
Does an LLM penetration test check for training data leakage?
Many tests include attempts to extract memorised training data, system prompts or data from connected sources. Whether a given test covers it depends on the scope agreed with the vendor, so ask for it to be named in the statement of work.