How is AI Red Teaming different from penetration testing?

Traditional penetration testing focuses on infrastructure, applications, and networks. AI Red Teaming specifically evaluates LLMs, AI agents, prompts, RAG systems, and AI-specific attack vectors.

Which AI systems can be tested?

We assess enterprise chatbots, copilots, AI agents, Retrieval-Augmented Generation applications, custom LLM deployments, and AI-enabled SaaS platforms.

Does AI Red Teaming include prompt injection testing?

Yes. Prompt injection testing is one of the core components of every AI Red Team engagement.

Can you assess Microsoft Copilot and ChatGPT Enterprise?

Yes. We support security assessments for Microsoft Copilot, ChatGPT Enterprise, Azure OpenAI deployments, and other enterprise AI platforms.

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Services

Offensive Security Services

Validate Initial Access Before an Attacker Does
Our Breach & Exposure Testing services focus on gaining realistic initial access and proving exploitability under controlled conditions.

Penetration Testing
Targeted, scenario-driven offensive testing of external, internal, cloud, and application environments.

Compromise Assessment
When suspicion exists, but evidence does not, we conduct deep compromise investigations.

Assumed Breach Testing
Operate under the assumption that perimeter defenses have failed.

Secure the Modern Attack Surface
We perform adversarial testing against large language model applications, AI agents, and ML-integrated systems to validate real-world abuse scenarios.

LLM Application Penetration Testing
Security testing of AI-powered applications, including, Retrieval-augmented generation (RAG) systems, API-connected AI workflows, Data-integrated LLM deployments.

AI Chatbot & Agent Attacks
Simulated adversarial abuse of Customer-facing AI chatbots, Autonomous agents, and Internal AI copilots.

Prompt Injection & Model Abuse
Targeted red team operations against LLM logic, including Direct injection, Indirect injection via content ingestion, Context poisoning, and model manipulation.

Full-Scope Attacker Campaigns
We conduct multi-stage, intelligence-led campaigns that replicate real threat actor tactics, techniques, and procedures (TTPs).

Digital Red Teaming
Our operations emulate modern ransomware groups and advanced persistent threat (APT) behaviors.

Assumed Breach Red Teaming
We begin post-compromise and simulate, Stealth persistence, Active Directory dominance, Sensitive data targeting, Business process manipulation.
Focused on detection, containment, and response resilience.

Purple Teaming
We coordinate with your SOC and security engineering teams to improve detection rules, validate telemetry coverage, Tune response playbooks, and strengthen defensive maturity.
This is how detection engineering evolves.

Controlled Impact. Executive-Level Validation.
Ransomware remains the most financially destructive cyber threat facing modern organizations.
We simulate it safely, before criminals do.

Adversary Simulation
Targeted, scenario-based attack exercises aligned to real threat intelligence.

Live Ransomware Simulation
A controlled encryption simulation conducted in a contained and approved environment to validate, backup integrity, restoration timelines, business continuity plans, and incident response coordination
We do not deploy live, destructive malware.
We simulate operational impact safely.

Ransomware Tabletop Exercises
Executive and technical leadership walk-through. This aligns technical risk with business reality.

Real-World Intrusion. Real Consequences.
Cybersecurity does not exist only in the cloud.
We conduct physical and blended intrusion campaigns to validate security across facilities, personnel, and infrastructure.

Global Physical Penetration Testing
Simulated unauthorized access attempts against corporate offices, data centers, warehouses, and critical facilities.

Global Physical Red Teaming
Blended campaigns combining physical access with digital compromise.
Attackers do not respect silos. Neither do we.

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Programs

Offensive security programs

Continuous adversarial assurance programs for regulated enterprises.Continuous adversarial assurance programs for regulated enterprises.

Continuous Red Team
Continuous adversarial coverage. Quarterly cadence, real-time findings.

AI Assurance
End-to-end security for LLMs, agents, and RAG systems.

Resilience & Threat-Led Assurance
Threat-led testing for DORA, TIBER, CBEST, and regulated entities.

View all programs
About Us
Industries

See how we help teams across industries defend against real-world adversaries through realistic, attack-driven security testing.

Banking & Financial Services

Red teaming for banks targets fraud, credential theft, core system compromise, and regulatory validation.

Healthcare

Healthcare faces ransomware, data breaches, and legacy system risks.

SaaS & Technology

Cloud-native companies face identity attacks, API flaws, and supply chain risks.

Energy & Utilities

Critical infrastructure faces nation-state attacks, OT/ICS threats, and operational disruption.

E-commerce & Retail

E-commerce platforms face payment fraud, account takeovers, and API abuse.
Resources

Access All Resources
Discover a wide range of offensive security resources, from in-depth reports and practical step-by-step guides to expert-led webcasts and live sessions, crafted to keep you informed and one step ahead.

Customer Stories
See how organizations strengthened their security posture through real-world offensive security engagements and outcomes.

Live sessions/video guides
Join expert-led live sessions and video guides designed to help teams understand, improve, and stay ahead in their security journey.

Up-to-Date Cybersecurity Statistics
Stay informed with the latest cybersecurity statistics and insights to better understand evolving threats and trends.

Checklists
Access practical checklists to assess, strengthen, and stay on top of your organization’s security posture.
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Enterprise AI Red Teaming Services

Secure Your AI Systems Against Real-World Adversarial Attacks

Bluefire Redteam’s Enterprise AI Red Teaming Services simulate real-world adversaries targeting Large Language Models (LLMs), Generative AI applications, AI agents, copilots, and enterprise AI systems to uncover security weaknesses before attackers do.

Rather than simply identifying technical vulnerabilities, we evaluate whether attackers can manipulate AI behavior, bypass safety controls, abuse integrations, access confidential information, or influence business decisions through sophisticated adversarial techniques.

Whether you’re deploying Microsoft Copilot, ChatGPT Enterprise, Claude, Gemini, Azure OpenAI, Amazon Bedrock, or a custom AI platform, our AI Red Teaming engagements help validate the resilience of your AI ecosystem against modern threats.

Trusted by global organisations for top-tier cybersecurity solutions!

What Is AI Red Teaming?

AI Red Teaming is a specialized security assessment that evaluates how resilient Artificial Intelligence systems are against realistic adversarial attacks.

Unlike traditional penetration testing, which focuses on infrastructure and applications, AI Red Teaming evaluates how attackers interact with the intelligence layer of an AI system.

Our engagements simulate techniques designed to determine whether attackers can:

Manipulate AI behaviour
Bypass safety guardrails
Extract confidential information
Abuse AI agents
Exploit Retrieval-Augmented Generation (RAG)
Leak hidden system prompts
Trigger unauthorized business actions
Influence AI decision-making
Abuse tool integrations
Access sensitive enterprise data

Rather than simply identifying technical vulnerabilities, AI Red Teaming measures how AI systems behave under realistic attack scenarios and whether those behaviours introduce operational, security, or compliance risks.

Why Enterprise AI Systems Need Specialized Security Testing

Enterprise AI applications are fundamentally different from traditional software.

Modern AI systems:

Generate dynamic responses
Access internal knowledge bases
Connect to APIs and business applications
Execute workflows through AI agents
Retrieve confidential information
Make recommendations that influence business decisions

These capabilities significantly increase the attack surface.

A secure web application can still expose confidential information if its AI assistant is manipulated through prompt injection.

Likewise, an AI agent with access to internal systems may perform unintended actions if attackers successfully influence its reasoning or abuse connected tools.

Because these risks originate from AI behaviour—not infrastructure—organizations require security assessments specifically designed for generative AI systems.

What We Test

Large Language Models (LLMs)

We assess AI systems powered by leading models such as:

OpenAI GPT
ChatGPT Enterprise
Anthropic Claude
Google Gemini
Microsoft Azure OpenAI
Amazon Bedrock
Meta Llama
Mistral AI
Custom enterprise models

AI Chatbots

Customer-facing and internal chatbots handling sensitive business information, customer interactions, and operational workflows.

AI Agents

Autonomous AI agents capable of planning tasks, calling external tools, interacting with APIs, accessing enterprise systems, and automating business processes.

Retrieval-Augmented Generation (RAG)

AI applications connected to internal documentation, knowledge bases, SharePoint, vector databases, and enterprise search platforms.

AI Copilots

Enterprise productivity assistants including Microsoft Copilot and custom organizational copilots integrated with business systems.

AI APIs & Applications

Custom AI-powered SaaS platforms, internal applications, AI-enabled workflows, and externally exposed AI services.

AI Threats We Simulate

Every engagement is tailored to your environment and threat model, but common attack scenarios include:

Prompt Injection

Testing whether attackers can manipulate prompts to override intended model behaviour.

Indirect Prompt Injection

Evaluating hidden instructions delivered through documents, emails, websites, or retrieved content.

System Prompt Leakage

Assessing whether attackers can extract confidential system instructions or hidden prompts.

Sensitive Data Leakage

Identifying unintended exposure of sensitive business information, credentials, customer data, or intellectual property.

AI Agent Abuse

Testing whether autonomous AI agents can be manipulated into executing unauthorized actions.

RAG Manipulation

Evaluating knowledge poisoning, unauthorized document retrieval, and context manipulation within Retrieval-Augmented Generation systems.

Jailbreak Attacks

Simulating attempts to bypass model restrictions and safety controls.

Tool & Plugin Abuse

Assessing integrations with APIs, plugins, databases, and external services to identify opportunities for misuse.

Our AI Red Teaming Methodology

Every engagement follows a structured methodology designed to reflect realistic attacker behaviour while minimizing operational risk.

1. Discovery & Scoping

We identify your AI architecture, business objectives, integrations, and threat landscape.

2. Threat Modeling

Potential attack scenarios are developed based on your AI implementation, data sensitivity, and business processes.

3. Adversarial Testing

4. Security Validation

We assess the effectiveness of guardrails, authorization controls, monitoring, logging, and defensive mechanisms.

5. Reporting & Remediation

You receive prioritized findings, business risk analysis, proof-of-concept evidence, and actionable remediation guidance for developers, security teams, and leadership.

Standards & Frameworks

Our AI Red Teaming methodology aligns with widely recognized industry guidance where applicable, including:

OWASP Top 10 for LLM Applications
MITRE ATLAS
NIST AI Risk Management Framework (AI RMF)
OWASP API Security Top 10
Secure AI development best practices

This helps organizations understand AI security risks using recognized frameworks while supporting governance and internal security programs.

Industries We Support

We deliver AI Red Teaming services for organizations adopting AI across a wide range of industries, including:

Financial Services
Banking
Healthcare
Government
Legal
Insurance
Manufacturing
SaaS & Technology
Retail & E-commerce
Critical Infrastructure

Every engagement is tailored to the specific threats, regulatory requirements, and business risks associated with your industry.

Deliverables

Every AI Red Team engagement includes comprehensive reporting designed for technical and executive stakeholders.

Deliverables include:

Executive Summary
AI Attack Narrative
Technical Findings
Prompt Injection Results
Business Risk Assessment
Evidence & Proof of Concept
Risk Prioritization
Remediation Recommendations
Developer Guidance
Executive Presentation (Optional)

Why Choose Bluefire Redteam?

Offensive Security Expertise

Our consultants combine enterprise Red Teaming experience with modern AI security testing methodologies.

Realistic Adversary Simulation

We emulate how real attackers target AI systems—not just theoretical vulnerabilities.

Enterprise-Focused Assessments

Our engagements are designed for production AI environments supporting critical business operations.

Actionable Reporting

Every finding includes practical remediation guidance to help development and security teams reduce risk quickly.

Trusted by Customers — Recommended by Industry Leaders.

CISO, Microminder Cyber Security, UK

“Their willingness to cooperate in difficult and complex scenarios was impressive. The response times were excellent, and made what could have been a challenging project, a relatively smooth and successful engagement overall”

Read Full Review

CEO, IT Consulting Company, ISRAEL

“What stood out most was their thoroughness and attention to detail during testing, along with clear, well-documented findings. Their ability to explain technical issues in a way that was easy to understand made the process much more efficient and valuable.”

Read Full Review

IT Manager, Nobel Software Systems, INDIA

“The team delivered on time and communicated effectively via email, messaging apps, and virtual meetings. Their responsiveness and timely execution made them an ideal partner for the project.”

Read Full Review

Frequently Asked Questions - AI Red Teaming Service

What is AI Red Teaming?
AI Red Teaming is an offensive security assessment that evaluates how AI systems behave when subjected to realistic adversarial attacks.
How is AI Red Teaming different from penetration testing?
Traditional penetration testing focuses on infrastructure, applications, and networks. AI Red Teaming specifically evaluates LLMs, AI agents, prompts, RAG systems, and AI-specific attack vectors.
Which AI systems can be tested?
We assess enterprise chatbots, copilots, AI agents, Retrieval-Augmented Generation applications, custom LLM deployments, and AI-enabled SaaS platforms.
Does AI Red Teaming include prompt injection testing?
Yes. Prompt injection testing is one of the core components of every AI Red Team engagement.
Can you assess Microsoft Copilot and ChatGPT Enterprise?
Yes. We support security assessments for Microsoft Copilot, ChatGPT Enterprise, Azure OpenAI deployments, and other enterprise AI platforms.

Secure Your AI Before Attackers Do

AI systems are transforming how organizations operate—but they also introduce new security risks that traditional assessments cannot identify.

Bluefire Redteam helps organizations validate the security of enterprise AI through realistic adversarial testing, AI-specific attack simulations, and actionable remediation guidance.

Whether you’re deploying a customer-facing chatbot, an internal AI assistant, a Retrieval-Augmented Generation platform, or autonomous AI agents, our AI Red Teaming services help you identify and address security weaknesses before they can be exploited.

Enterprise AI Red Teaming Services

Trusted by global organisations for top-tier cybersecurity solutions!

What Is AI Red Teaming?

Why Enterprise AI Systems Need Specialized Security Testing

What We Test

Large Language Models (LLMs)

AI Chatbots

AI Agents

Retrieval-Augmented Generation (RAG)

AI Copilots

AI APIs & Applications

AI Threats We Simulate

Prompt Injection

Indirect Prompt Injection

System Prompt Leakage

Sensitive Data Leakage

AI Agent Abuse

RAG Manipulation

Jailbreak Attacks

Tool & Plugin Abuse

Our AI Red Teaming Methodology

Standards & Frameworks

Industries We Support

Deliverables

Why Choose Bluefire Redteam?

Offensive Security Expertise

Realistic Adversary Simulation

Enterprise-Focused Assessments​

Actionable Reporting

Trusted by Customers — Recommended by Industry Leaders.

CISO, Microminder Cyber Security, UK

CEO, IT Consulting Company, ISRAEL

IT Manager, Nobel Software Systems, INDIA

Frequently Asked Questions - AI Red Teaming Service

Secure Your AI Before Attackers Do

Top 7 Prompt Injection Attacks Every AI App Should Test For

What’s Inside

Before You Leave...

Enterprise-Focused Assessments