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
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.
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
Pricing
| Service | Starting From |
|---|---|
| One-Time AI Security Assessment | $5,000 |
| Focused AI Red Team Engagement (Single AI Application) | $10,000 |
| Comprehensive AI Red Team Engagement (Multiple AI Applications or Enterprise AI Environment) | $30,000 |
| Continuous AI Security Testing | Custom Quote |
| AI Security Consultation | From $250/hour |
| Enterprise AI Red Team Engagement | Custom Quote |
One-Time AI Security Assessment
A one-time evaluation of your AI application to identify security risks, vulnerabilities, and potential attack paths before they can be exploited.
Focused AI Red Team Engagement
An in-depth security assessment of a single AI application, such as a chatbot, AI agent, AI copilot, or LLM, using realistic attack scenarios to evaluate its resilience.
Comprehensive AI Red Team Engagement
A comprehensive assessment of multiple AI applications, integrations, and business workflows to identify vulnerabilities across your AI environment.
Enterprise AI Red Team
A tailored security engagement for large organizations with complex AI ecosystems, multiple AI systems, and enterprise integrations, designed to evaluate AI security at scale.
Continuous AI Security Testing
An ongoing security service that continuously tests your AI systems as they evolve, helping identify new vulnerabilities, validate security improvements, and maintain long-term AI resilience.
AI Security Consultation
Expert guidance for organizations seeking advice on AI security, risk management, AI adoption, architecture review, governance, and best practices to help build and maintain secure AI systems.
What Affects Pricing
Every AI environment is unique, and pricing is determined by the complexity and scope of the engagement. Factors that may influence the cost include:
Number of AI Systems
Testing multiple AI models, chatbots, copilots, or AI agents requires additional assessment time and broader security coverage.
AI Integrations
AI systems connected to APIs, databases, cloud platforms, business applications, or third-party tools require more comprehensive security testing.
Scope of Testing
The depth of the assessment—including prompt injection, jailbreak testing, AI agent security, API testing, authorization testing, and data leakage testing—affects the overall engagement.
Complexity of the AI Environment
Enterprise AI deployments with multiple AI applications, workflows, and interconnected systems require more extensive testing than a single AI application.
Compliance Requirements
Organizations requiring assessments aligned with security and regulatory frameworks, such as NIST AI RMF or other industry standards, may require additional documentation and validation.
Project Timeline
Expedited engagements with accelerated delivery timelines may require additional resources and may be subject to higher fees.
Cybersecurity vs. AI Red Teaming
Traditional cybersecurity protects an organization’s networks, servers, applications, endpoints, and infrastructure from cyber threats such as malware, ransomware, phishing, and unauthorized access.
AI Red Teaming focuses on the security of Artificial Intelligence systems. Rather than testing networks or servers, it evaluates how attackers can manipulate AI models, bypass safeguards, extract sensitive information, abuse AI agents, or exploit AI-powered applications.
| Traditional Cybersecurity | AI Red Teaming |
|---|---|
| Protects networks and infrastructure | Protects AI systems and applications |
| Identifies software and infrastructure vulnerabilities | Identifies AI-specific vulnerabilities and attack paths |
| Tests servers, applications, and endpoints | Tests chatbots, LLMs, AI agents, and AI copilots |
| Focuses on cyber threats | Focuses on AI threats and adversarial attacks |
| Evaluates system security | Evaluates AI behavior, resilience, and trustworthiness |
Why AI Red Teaming Matters
As organizations increasingly rely on Artificial Intelligence, traditional cybersecurity alone is no longer enough. AI systems introduce new attack vectors that require specialized testing and expertise.
AI Red Teaming helps organizations identify AI-specific risks before they can be exploited, improving the security, resilience, and reliability of AI-powered applications.
For organizations deploying AI, AI Red Teaming complements existing cybersecurity programs by addressing threats that traditional security assessments are not designed to detect.
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.