AI red teaming services for prompt injection security

When investigating and remediating prompt injection and agentic exploits, several specialized AI security firms, major cloud providers, and global professional services offer dedicated AI Red Teaming assessments.

The primary providers in the AI red teaming ecosystem are categorized below by their service focus:

1. Specialized AI Security & Pure-Play Firms

• Mindgard: Specializes in Mindgard AI Red Teaming Services covering LLM applications, RAG pipelines, multi-turn vector tests, and indirect/direct prompt injection vulnerabilities.mindgard.ai
• Protect AI: Offers security frameworks and red teaming focused on the entire machine learning and AI pipeline security.
• HiddenLayer: Provides security solutions and adversarial machine learning protection, targeting prompt injection and model manipulation.
• Robust Intelligence (part of Cisco): Focuses heavily on automated stress testing, continuous validation, and vulnerability assessments for AI models.

2. Enterprise & Cloud Security Giants

• Microsoft: A market leader leveraging its dedicated Azure AI Red Team and proprietary tools like PyRIT (Python Risk Identification Tool) to map out jailbreaks and prompt-based data leakage.
• Palo Alto Networks: Offers Palo Alto Networks Prisma AIRS featuring automated vulnerability hunting and AI red teaming for autonomous agents.
• Check Point Software: Provides robust testing frameworks and Check Point Software AI Security designed to stress-test LLM applications and agentic pathways against prompt injections.
• CrowdStrike & SentinelOne: Both offer tailored AI red teaming services (such as SentinelOne's Singularity AI testing) to audit LLM and agentic workflow safety pre-production.straiker.ai

3. Global Professional Services & Consultancies

• Big Four & Consultancies: Deloitte, Accenture, PwC, EY, and KPMG all host dedicated Responsible AI and adversarial security practices that perform hands-on red teaming engagements for enterprise client deployments.
• Booz Allen Hamilton: Frequently engaged for high-stakes federal, defense, and critical infrastructure AI adversarial testing.
• MITRE Corporation: Known for pioneering evaluation frameworks like MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems).straiker.ai

If you would like, I can set up a task to monitor new threat advisories regarding prompt injection techniques or notify you of updates in AI red teaming frameworks.

For an investigation into a security breach involving prompt injection, you’ll want an AI Red Teaming provider with experience testing large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and the systems and tools they can access.

The key distinction is between general penetration testing and AI-specific adversarial testing: the latter examines whether malicious instructions hidden in user input, documents, retrieved content, or tool outputs can override intended safeguards, expose sensitive data, or trigger unauthorized actions.

Here are providers and specialist organizations worth evaluating for an incident investigation and follow-up security assessment.

AI Red Teaming providers to consider

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1. Bishop Fox

(Incident-focused assessment)

Offers hands-on AI/LLM penetration testing and red teaming. Its published scope explicitly includes direct and indirect prompt injection, sensitive-data disclosure, guardrail bypasses, agent and tool misuse, and incident-response readiness. A strong candidate when you need to investigate a real exploit path, not just run automated scans.bishopfox.com+1

Website:AI/LLM Security Assessment

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2. HiddenLayer

Specializes in AI security assessments, red teaming, and automated attack simulation. Its capabilities include prompt injection, jailbreaks, model-data leakage, system-prompt extraction, and unsafe tool use. Consider it if you want repeatable testing after remediation as well as an initial assessment.www.hiddenlayer.com+2

Website:AI Red Teaming

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3. DarkRange

Provides AI security consulting, architecture reviews, and adversarial testing. Its stated services cover prompt injection, jailbreaks, data extraction, RAG pipelines, guardrails, and AI agents. Relevant when the investigation needs to examine the entire AI application architecture.darkrange.ai

Website:DarkRange AI Security

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4. ReinforcedX

Offers LLM and agent security consulting covering prompt injection, jailbreaks, data leakage, and tool abuse. Its published engagement model includes turning failed attacks into repeatable evaluation tests and continuous-integration security gates. Useful for teams seeking a remediation and regression-testing workflow.www.reinforcedx.com+1

Website:LLM Security & Red Teaming

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5. TrustEdge.ai

Offers adversarial testing of LLM and agent deployments, including prompt injection and risks associated with agentic applications. Its published approach emphasizes testing the actual deployed system and its permissions rather than simply verifying that security controls exist.trustedge.ai

Website:AI Red Teaming & Prompt Injection Testing

What to request for your breach investigation

For an actual security incident, I would prioritize a scoped forensic investigation combined with an adversarial AI security assessment, rather than purchasing a red-team scan alone.

Ask prospective providers whether they can deliver these six workstreams:

Preserve relevant logs, prompts, model and application versions, retrieved documents, tool-call records, and identity/access logs before making changes. If data may have been exfiltrated, involve your incident-response team and restrict potentially compromised credentials as appropriate.

How I would narrow the shortlist

Based on the published services above:

• For a live breach and hands-on attack reconstruction: start by discussing scope with Bishop Fox.
• For repeatable adversarial testing across multiple AI systems: evaluate HiddenLayer.
• For RAG, agent architecture, and remediation work: also evaluate DarkRange and ReinforcedX.

These are scope-based suggestions, not a ranking of independently verified performance. Confirm availability, forensic capabilities, relevant references, and engagement terms directly with each provider.

One question that would help me refine the shortlist: What kind of AI system was breached?

AI system

Enterprise LLM or RAG chatbot

AI agent with tools or API access

Public-facing AI product

Foundation model or training pipeline

Other / not yet determined

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Primary engagement goal

Investigate a confirmed incident

Independent adversarial penetration test

Ongoing automated red teaming

Forensics, remediation, and retesting

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Provider preference

US-based provider preferred

Global providers acceptable

Specialist boutique consultancy preferred

[Refine provider shortlist]