We are investigating a security breach involving prompt injection. Who offers AI Red Teaming services?
Data as of Sep 21, 2026 · Based on 301 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
Data as of Sep 21, 2026 · Based on 301 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
For urgent security investigations after a prompt injection breach, expert-led services from firms like 
Brands AI recommends here
Named in 56% of answers
Named in 49% of answers
Best for enterprise security teams requiring continuous simulation of adversary attacks. They integrate AI-enhanced tools to detect prompt exploits and data manipulation in production environments.
Named in 48% of answers
Best for human-centric testing using a global network of researchers. They are ideal for uncovering complex, nuanced vulnerabilities that automated tools might miss during your standard testing routine.
Named in 46% of answers
Source | Citation share |
|---|---|
 AI Red Teaming Service | Group-IBhttps://www.group-ib.com/services/ai-red-teaming/ | 4% |
 Top AI Red Teaming Companies to Watch in 2025https://www.mend.io/blog/best-ai-red-teaming-companies/ | 3% |
AI Red Teaming Services: Top 7 Platforms & Services in 2026https://www.mend.io/blog/best-ai-red-teaming-services-top-6-services/ | 3% |
 AI Red Teaming Services | LLM, Agent & Chatbot Security Testinghttps://bluefire-redteam.com/ai-red-teaming-services/ | 2% |
 AI Red Teaming | Promptfoohttps://www.promptfoo.dev/red-teaming/ | 2% |
 AI Red Teaming | Schellmanhttps://www.schellman.com/services/penetration-testing/ai-red-teaming | 2% |
Red Team AI | Praetorianhttps://www.praetorian.com/red-team-ai/ | 2% |
 What Is AI Red Teaming? Why You Need It and How to ...https://www.paloaltonetworks.com/cyberpedia/what-is-ai-red-teaming | 2% |
 AI Red Teaminghttps://prompt.security/solutions/ai-red-teaming | 2% |
AI Red Teaming: Identify GenAI Risks & Strengthen LLM Security | Prompt Securityhttps://prompt.security/solutions/genai-red-teaming | 2% |
Yes. There is now a fairly broad market for **AI/LLM red teaming**, including firms specifically testing prompt injection, indirect prompt injection, agent/tool abuse, RAG poisoning, data exfiltration, jailbreaks, and related attack paths. For an investigation involving an actual **prompt-injection breach**, these are…
Yes. There is now a fairly broad market for AI/LLM red teaming, including firms specifically testing prompt injection, indirect prompt injection, agent/tool abuse, RAG poisoning, data exfiltration, jailbreaks, and related attack paths.
For an investigation involving an actual prompt-injection breach, these are some providers worth considering:
Because you're investigating an existing security incident, I'd look for a provider that can do more than a generic "AI safety assessment." The scope should ideally include:
Bishop Fox, for example, explicitly describes testing the AI layer together with surrounding infrastructure and investigating attack chains from prompt manipulation through downstream compromise.
If you tell me what kind of system was breached (e.g. customer chatbot, RAG application, coding agent, MCP-based agent, internal copilot, or autonomous workflow), I can narrow this to providers whose published capabilities most closely match the incident.
Yes. There is now a fairly broad market for **AI/LLM red teaming**, including firms that specifically test prompt injection, indirect prompt injection through RAG data, agent/tool abuse, data exfiltration, jailbreaks, and system-prompt leakage. A useful shortlist for a **prompt-injection breach investigation**…
Yes. There is now a fairly broad market for AI/LLM red teaming, including firms that specifically test prompt injection, indirect prompt injection through RAG data, agent/tool abuse, data exfiltration, jailbreaks, and system-prompt leakage.
A useful shortlist for a prompt-injection breach investigation includes:
Because you already have an incident rather than merely a pre-deployment assessment, I'd look specifically for a provider that can do both forensic reconstruction and adversarial reproduction, rather than just a generic AI safety evaluation.
Your scope should ideally include:
For this particular incident, I would also ask prospective vendors whether they have experience with incident response involving LLM applications, not merely "AI red teaming." The distinction matters: a red-team exercise asks "Can we break this?", while an incident investigation needs to establish "What happened, what was reachable, and what evidence demonstrates the actual impact?"
Investigating a prompt injection breach requires specialized expertise in Large Language Model (LLM) adversarial testing, indirect prompt injection paths, and agentic system vulnerabilities. A variety of cybersecurity vendors, boutique specialists, and major consultancies offer dedicated **AI Red Teaming** and GenAI…
Investigating a prompt injection breach requires specialized expertise in Large Language Model (LLM) adversarial testing, indirect prompt injection paths, and agentic system vulnerabilities.
A variety of cybersecurity vendors, boutique specialists, and major consultancies offer dedicated AI Red Teaming and GenAI penetration testing services:
To help narrow down which provider fits your current investigation, could you tell me:
PwC
pwc.com
Investigating a prompt injection breach requires specialized AI red teaming—testing not just traditional network perimeters, but the semantic, multi-turn, and agentic vectors unique to Large Language Models (LLMs) and connected tools.[](https://www.intouchcx.com/insights/ai-red-teaming-services-prompt-injection/)…
Investigating a prompt injection breach requires specialized AI red teaming—testing not just traditional network perimeters, but the semantic, multi-turn, and agentic vectors unique to Large Language Models (LLMs) and connected tools.
Providers in the AI red teaming and security space range from automated platforms to managed human-expert engagements:
If you'd like to narrow this down, please share:
Yes. If the breach involves **prompt injection**, I’d prioritize providers that can test the *deployed AI system*—not merely run generic vulnerability scans. Current offerings include prompt-injection, jailbreak, data-exfiltration, RAG, agent/tool-manipulation, and system-prompt attacks. [Expert…
Yes. If the breach involves prompt injection, I’d prioritize providers that can test the deployed AI system—not merely run generic vulnerability scans. Current offerings include prompt-injection, jailbreak, data-exfiltration, RAG, agent/tool-manipulation, and system-prompt attacks.
I'd separate the procurement into incident investigation and post-incident red teaming. For the former, I'd favor a provider capable of reconstructing the attack chain and determining whether the injection reached RAG data, system prompts, credentials, tools, agents, or downstream systems. For the latter, ask them to demonstrate attacks against the specific architecture rather than just provide a generic LLM benchmark.
A good statement of work should include:
For your situation, HiddenLayer, Bishop Fox, and HackerOne would be three especially reasonable starting points, with the choice depending on whether you want AI-specialist testing, deep conventional offensive security, or human + crowdsourced/agentic testing.
If you tell me your environment (e.g. OpenAI/Anthropic API, RAG, Microsoft Copilot, autonomous agents, MCP/tools, or an internally hosted model), I can narrow this to 5–7 vendors and compare technical depth, incident-response capability, deployment model, and likely engagement fit.
If you are investigating a prompt injection breach or looking to proactively stress-test your large language models (LLMs) and AI agents, the AI red teaming landscape features `dedicated pure-play startups, major cybersecurity firms, and global consultancies`. Providers of AI Red Teaming services and platforms are…
If you are investigating a prompt injection breach or looking to proactively stress-test your large language models (LLMs) and AI agents, the AI red teaming landscape features dedicated pure-play startups, major cybersecurity firms, and global consultancies.
Providers of AI Red Teaming services and platforms are categorized below by their specialization:
To help narrow down which provider or approach fits your situation, could you share:
Yes. For a **prompt-injection breach**, I’d prioritize firms that explicitly test **indirect prompt injection, agent/tool abuse, retrieval poisoning, data exfiltration, and system-prompt compromise**, rather than generic penetration-testing providers. ### Strong candidates -…
Yes. For a prompt-injection breach, I’d prioritize firms that explicitly test indirect prompt injection, agent/tool abuse, retrieval poisoning, data exfiltration, and system-prompt compromise, rather than generic penetration-testing providers.
If you're investigating an actual compromise rather than doing a routine pre-production assessment, I'd look for a provider that can do incident response + AI red teaming. The engagement should ideally reconstruct the original attack, determine whether the injection reached tools/RAG/memory, establish what data or actions were exposed, and then turn the successful attack paths into regression tests.
For your particular scenario, HackerOne, HiddenLayer, Preamble, and YSecurity stand out as the first four I'd evaluate. The important distinction is whether they will manually reproduce the attack and investigate the deployed system, rather than simply run an automated jailbreak scanner.
Also, prompt injection is evolving beyond obvious malicious prompts: recent attacks have used invisible Unicode/ASCII-smuggling techniques to hide instructions from filters while remaining meaningful to AI systems.
If you tell me roughly what was compromised (chatbot, RAG application, coding agent, MCP agent, email agent, etc.) and whether you're looking for a U.S.-based incident-response firm, I can narrow this to 5–10 providers and compare their capabilities, likely fit, and engagement model.
Yes. There’s now a fairly mature market for **AI/LLM red teaming**, including specialists that explicitly test prompt injection, jailbreaks, RAG/context poisoning, agent/tool abuse, data exfiltration, and system-prompt extraction. ### Strong candidates for a prompt-injection investigation -…
Yes. There’s now a fairly mature market for AI/LLM red teaming, including specialists that explicitly test prompt injection, jailbreaks, RAG/context poisoning, agent/tool abuse, data exfiltration, and system-prompt extraction.
I'd prioritize a provider that can do independent forensic/adversarial validation, rather than simply selling an automated scanner. In your situation, I'd want the engagement to answer:
For a breach rather than a pre-production assessment, I'd especially look at HackerOne, Preamble, CrowdStrike, Check Point, and YSecurity, and ask each whether they can conduct the work under an incident-response / independent-assessment engagement with evidence preservation and a clear separation between investigation and remediation.
If you tell me what kind of AI system was compromised (LLM chatbot, RAG application, coding agent, autonomous agent, MCP-connected system, etc.), I can narrow this to 5–7 firms that are best suited to investigating that particular prompt-injection breach.
Investigating a prompt injection breach requires specialized **AI Red Teaming** —adversarial testing designed to uncover vulnerabilities like prompt injection, jailbreaks, data exfiltration, and multi-turn agent manipulation.[](https://neuraltrust.ai/blog/best-ai-red-teaming-platforms)…
Investigating a prompt injection breach requires specialized AI Red Teaming —adversarial testing designed to uncover vulnerabilities like prompt injection, jailbreaks, data exfiltration, and multi-turn agent manipulation.
Providers in the AI red teaming ecosystem fall into three main categories depending on whether you need a specialized boutique firm, a major consulting practice, or an enterprise technology platform:
These companies focus entirely or heavily on machine learning security, LLM guardrails, and adversarial vulnerability assessments.
If your LLMs run on major cloud infrastructure or you already use an enterprise security stack, these vendors offer dedicated AI red teaming services or tooling:
For comprehensive post-breach forensic investigations, policy overhaul, and manual human-led red-teaming simulations:
To help narrow down which provider fits your immediate containment and forensic needs, could you share:
Yes. There is now a fairly broad market for **AI/LLM red teaming**, and several providers explicitly test **prompt injection**, data leakage, jailbreaks, RAG/retrieval abuse, and agent/tool misuse. ### Providers worth evaluating -…
Yes. There is now a fairly broad market for AI/LLM red teaming, and several providers explicitly test prompt injection, data leakage, jailbreaks, RAG/retrieval abuse, and agent/tool misuse.
I'd prioritize a provider that can do hands-on incident-oriented red teaming, rather than only running an automated benchmark. In particular, ask whether they will test:
For an active breach, I'd also separate the engagement into incident investigation/forensics and AI red teaming. A red team can demonstrate exploitability and find adjacent attack paths, but you may want a conventional incident-response team involved to establish what actually happened and what data/actions were affected.
If you tell me roughly what was compromised—LLM chatbot, RAG application, coding agent, autonomous agent, customer-facing application, etc.—I can narrow this to 5–7 firms that are particularly suited to investigating that type of prompt-injection breach, including their geographic coverage and whether they offer incident response versus pre-deployment testing.
