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Our Services

Our AI Red Teaming Services

Protecting Your AI Systems Through Real-World Security Testing

Artificial intelligence is transforming the way organizations operate, automate processes, interact with customers, and make business decisions. As AI becomes increasingly integrated into business-critical operations, organizations face new security, operational, governance, and compliance challenges that traditional cybersecurity assessments were not designed to address.

From prompt injection attacks and AI agents to sensitive data exposure, insecure integrations, model failures, and governance risks, organizations require specialized assessments that evaluate AI systems throughout their entire lifecycle.

Maryvelle AI provides a comprehensive portfolio of AI security, assurance, governance, and resilience services designed to help organizations develop, deploy, and operate AI securely and responsibly.

Our services combine offensive security testing, technical assessments, governance reviews, operational readiness evaluations, and strategic advisory to identify risks before they become business problems.

Whether your organization is building proprietary AI models, deploying Large Language Models (LLMs), implementing AI agents, integrating AI into enterprise applications, or preparing for production deployment, our specialists provide independent assessments that support secure, resilient, and trustworthy AI adoption.

what we offer

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AI Red Teaming Assessment
Our AI Red Teaming Assessment provides a comprehensive evaluation of your AI application’s security, resilience, and behavior under realistic attack scenarios. We identify weaknesses that could expose your organization to operational, security, privacy, or compliance risks and deliver practical recommendations to strengthen your AI environment.
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Prompt Injection Testing
Prompt injection is one of the most common attack techniques targeting AI systems. We evaluate whether attackers can manipulate your AI through crafted prompts to bypass security controls, ignore system instructions, disclose confidential information, or perform actions outside its intended purpose.
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Jailbreak Testing
We assess whether your AI’s built-in safeguards can be bypassed using advanced jailbreak techniques. Our testing determines whether users can override safety policies, circumvent restrictions, or force the AI to generate responses or perform actions it should refuse.
AI Agent Security Testing
AI agents often interact with business systems, applications, and external tools. We evaluate whether attackers can manipulate AI agents to perform unauthorized actions, misuse connected services, exceed their intended permissions, or compromise business operations.
Chatbot Security Testing
We assess customer-facing and internal AI chatbots for security weaknesses that could lead to unauthorized access, data exposure, prompt manipulation, policy bypasses, or unreliable behavior. Our testing helps ensure your chatbot responds securely and consistently in real-world environments.
System Prompt Leakage Testing
Every AI application relies on hidden system prompts that define how it should behave. We test whether attackers can extract, reveal, or manipulate these confidential instructions, helping protect your business logic, security controls, and proprietary information.
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LLM Security Testing
Large Language Models (LLMs) introduce unique security challenges beyond traditional software. We evaluate LLM-powered applications for prompt injection vulnerabilities, data leakage, prompt exposure, unsafe outputs, model misuse, and other risks that could impact your organization.
AI Copilot Security Testing
AI copilots increasingly assist employees with emails, documents, coding, customer support, and business operations. We test whether these systems can be manipulated into exposing confidential information, executing unauthorized tasks, or accessing resources beyond their intended permissions.
Sensitive Data Leakage Testing
Protecting sensitive information is critical. We assess whether your AI system may unintentionally disclose customer records, employee information, internal documents, intellectual property, API keys, financial data, or other confidential business information during user interactions.
Authorization & Access Control Testing
We verify that your AI enforces proper authorization and role-based access controls. Our testing evaluates whether users can access information, data, or functions beyond their assigned permissions, helping prevent unauthorized disclosure or misuse.
API Security Testing
Many AI applications rely on APIs to connect with databases, business systems, third-party platforms, and AI models. We evaluate these APIs for authentication weaknesses, authorization flaws, insecure data handling, excessive permissions, and other vulnerabilities that could expose your AI environment to attack.
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AI Hallucination & Reliability Assessment
We evaluate your AI for inaccurate, misleading, or inconsistent responses that could impact business operations. Our assessment identifies reliability issues and provides recommendations to improve the accuracy, consistency, and trustworthiness of your AI systems.
AI Penetration Testing
We assess the security of AI applications, APIs, models, infrastructure, and connected services through controlled penetration testing designed to identify exploitable vulnerabilities and reduce cyber risk. We simulate real-world attacks to identify vulnerabilities in AI systems before they can be exploited.
Agentic AI Attack Simulation
We simulate realistic attacks against autonomous AI agents to evaluate how they respond to malicious instructions, workflow manipulation, privilege misuse, and unauthorized task execution.
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AI Data Security Assessment
We assess how AI systems collect, process, store, retrieve, and protect sensitive information while identifying risks related to data exposure, privacy, access controls, and governance.
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AI Integration Security Review
We review the security of APIs, cloud services, enterprise platforms, databases, and third-party systems connected to AI applications to reduce risks introduced through complex integrations.
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AI Trust & Reliability Assessment
We evaluate the accuracy, consistency, reliability, and operational performance of AI systems to improve confidence in AI-generated outputs and business decisions to ensure trustworthy and responsible performance.
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AI Deployment Readiness Assessment
We assess whether AI systems are technically, operationally, and organizationally prepared for secure production deployment by evaluating infrastructure, governance, security, integrations, and operational readiness.
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AI Governance & Compliance Review
We review your AI governance frameworks, organizational oversight, internal policies, risk management processes, and compliance readiness to support responsible AI adoption.
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AI Model Risk Assessment
We identify and assess technical, operational, governance, privacy, and business risks affecting AI models throughout their lifecycle while providing practical risk mitigation strategies.
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AI Incident Response Readiness
Assess your organization’s ability to detect, investigate, contain, recover from, and manage AI-related security and operational incidents through structured readiness evaluations.
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AI Resilience & Stress Testing
We review how AI systems perform under demanding operational conditions, infrastructure failures, abnormal workloads, and adverse scenarios to improve stability and business continuity.

Frameworks & Standards

Maryvelle AI aligns its methodology with internationally recognized AI security, cybersecurity, governance, and risk management frameworks. While every engagement is tailored to the client’s environment, our assessments are informed by industry-recognized best practices and evolving AI security research.

AI Security
  • OWASP Top 10 for Large Language Model Applications
  • OWASP Top 10 for Generative AI Applications
  • MITRE ATLAS™
  • MITRE ATT&CK® (where applicable)
  • NIST AI Risk Management Framework (AI RMF)
Information Security
  • NIST Cybersecurity Framework (CSF)
  • ISO/IEC 27001
  • ISO/IEC 27002
  • ISO/IEC 27005
  • CIS Critical Security Controls
AI Governance
  • ISO/IEC 42001 (Artificial Intelligence Management Systems)
  • ISO/IEC 23894 (Artificial Intelligence Risk Management)
  • OECD AI Principles
Privacy & Data Protection
  • GDPR principles (where applicable)
  • Privacy by Design
  • AI data governance best practices
Cloud & Application Security
  • Cloud Security Alliance (CSA) guidance
  • Secure API security principles
  • Zero Trust Architecture principles

Our Assessment Approach

Every engagement follows a structured and collaborative process tailored to your organization and the scope of the assessment.

1. Discovery & Scoping
We begin by understanding your AI environment, business objectives, technologies, operational requirements, and desired outcomes.
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2. Assessment & Validation
Our specialists perform the agreed assessment using methodologies appropriate for the selected service, identifying technical, operational, governance, or business risks.
3. Risk Analysis
We evaluate each finding based on technical severity, business impact, exploitability, and organizational priorities to help focus remediation efforts.
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4. Comprehensive Security Report
You receive detailed documentation, executive summaries, technical findings, and practical recommendations to strengthen your AI environment.
5. Executive Review
We present the assessment results, discuss key risks, answer questions, and provide guidance to support informed decision-making and future AI initiatives.

Business Outcomes

Every Maryvelle AI engagement is designed to deliver measurable business value—not simply identify technical issues.

Our services help organizations:

  • Reduce AI-related security and operational risks
  • Strengthen governance and executive oversight
  • Improve AI reliability and resilience
  • Protect sensitive business information and intellectual property
  • Increase confidence in AI deployments
  • Support responsible AI adoption
  • Improve operational readiness and business continuity
  • Strengthen stakeholder trust
  • Enhance regulatory and audit preparedness
  • Build a secure foundation for long-term AI innovation

F.A.Q.

AI Red Teaming is a specialized security assessment that evaluates how AI systems respond to realistic attack scenarios. It helps identify vulnerabilities before they can be exploited by attackers.

Traditional penetration testing focuses on networks, servers, applications, and infrastructure. AI Red Teaming focuses specifically on AI systems, including Chatbots, AI agents, LLMs, copilots, and AI-powered applications.

Organizations that build, deploy, or use AI technologies, including technology companies, financial institutions, healthcare providers, SaaS companies, government organizations, educational institutions, and enterprises integrating AI into their operations.

Prompt injection is an attack technique that attempts to manipulate an AI system into ignoring its instructions, revealing confidential information, or performing unauthorized actions.

Jailbreak testing evaluates whether attackers can bypass an AI system’s built-in safety controls and restrictions using specially crafted prompts.

Our assessments are carefully planned and performed within an agreed scope to minimize disruption while accurately evaluating your AI system’s security.

Project timelines vary depending on the complexity of the AI system. Most engagements range from several days to a few weeks.

Yes. Every engagement includes a detailed report outlining identified vulnerabilities, risk ratings, findings, and recommendations for improving AI security.

Yes. We treat all client information, AI systems, testing results, and project details as confidential.

Yes. We recommend AI Red Teaming before deployment whenever possible to identify and address vulnerabilities early in the development process.

We assess a wide range of AI solutions, including:

  • AI chatbots
  • AI agents
  • Large Language Models (LLMs)
  • AI copilots
  • Customer support assistants
  • Internal AI assistants
  • Custom AI applications
  • AI systems connected to business tools and APIs

Maryvelle AI combines technical expertise, offensive security testing, governance advisory, and business-focused risk management to help organizations deploy and operate AI with greater confidence, resilience, and trust.

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