Smart advisory solutions tools strategies

Secure Your AI Before Attackers Test It

Maryvelle AI, part of the Maryvelle Group, provides AI Red Teaming and AI security testing to help organizations identify vulnerabilities, strengthen AI systems, and reduce security risks before they become real-world threats.

Speak To Our Expert

99.8%

AI Attack Detection

98.7%

Prompt Injection Coverage

97.5%

Jailbreak Resistance

Happy Clients

24/7

Continuous AI Security Testing

AI tested before
attackers do.
Real AI resilience

At Maryvelle AI, we simulate realistic attacks against your AI applications to identify vulnerabilities before they become costly security incidents.

Artificial intelligence is transforming the way businesses operate—but it also introduces entirely new security risks. Traditional penetration testing focuses on networks, servers, and applications. AI Red Teaming goes further by testing how your AI systems behave when they are intentionally challenged or manipulated.

What We Offer

AI Red Team
Assessment

We perform comprehensive security assessments of AI applications to identify vulnerabilities, evaluate potential risks, and provide actionable recommendations before attackers can exploit them.

Prompt Injection
Testing

We test whether attackers can manipulate your AI through malicious prompts to bypass security controls, reveal confidential information, or perform unauthorized actions.

AI Jailbreak
Testing

Our specialists evaluate whether your AI’s built-in safeguards can be bypassed, helping ensure your system consistently follows its intended security and safety policies.

AI Agent Security
Testing

For AI systems connected to business tools and applications, we evaluate whether attackers can misuse integrations or trigger unauthorized actions through your AI.

Happy Clients

Our Services

Protecting Your Interests Across Borders. Independent Guidance for International Success

As AI becomes a core part of modern business, new security risks continue to emerge. Our role is to identify vulnerabilities before attackers do, strengthen your AI systems against real-world threats, and help ensure your AI operates securely, reliably, and with confidence.

.
,

Defending AI Against Tomorrow's Emerging Threats

Simulating real-world attacks to identify and strengthen AI security weaknesses. Realistic AI Testing. Reliable Security Assurance.

Our
Method

Every engagement follows a structured, intelligence-led methodology. We begin by understanding your AI environment, identifying critical assets, and simulating realistic attack scenarios. Our assessments are designed to uncover weaknesses before they can be exploited.

Our
Standards

Maryvelle follows industry-recognized security frameworks and AI security best practices throughout every assessment. We deliver clear findings, practical recommendations, and actionable remediation guidance to help organizations strengthen their AI security posture.

Threat
Modeling

We identify potential attack paths across your AI ecosystem by analyzing models, applications, APIs, data flows, user interactions, and third-party integrations. This enables organizations to understand where risks exist and prioritize the most critical security improvements.

Security
Validation

Security should be continuously verified, not assumed. We validate defensive controls by testing real-world attack scenarios against AI systems, confirming whether existing safeguards effectively detect, prevent, and respond to adversarial activity while maintaining business continuity.

What Is AI Red Teaming

AI Red Teaming is a specialized security assessment that evaluates how well Artificial Intelligence systems withstand real-world attacks. Unlike traditional penetration testing, which focuses on networks, applications, and infrastructure, AI Red Teaming assesses the security and behavior of AI systems when challenged by malicious or unexpected inputs.

Our specialists simulate realistic attack scenarios to determine whether an AI system can be manipulated, bypass security controls, expose confidential information, leak hidden system prompts, misuse connected tools, perform unauthorized actions, or access sensitive business data.

By identifying these risks before attackers do, AI Red Teaming helps organizations strengthen AI security, improve resilience, and deploy AI with greater confidence.

Our AI Red Teaming Methodology

At Maryvelle AI, our methodology combines offensive security, AI-specific attack techniques, business risk analysis, and human expertise to identify vulnerabilities that could affect the security, reliability, and trustworthiness of AI systems. Rather than relying solely on automated tools or checklists, our specialists simulate how real attackers may attempt to manipulate AI models, AI agents, prompts, integrations, and business workflows. Every engagement is tailored to the organization’s AI architecture, use cases, threat landscape, and business objectives.

Threat-Led Testing

Our assessments are driven by realistic attack scenarios rather than theoretical vulnerabilities. We simulate techniques that reflect how attackers target modern AI systems, allowing organizations to understand real-world exposure and potential business impact.

Adversarial AI Testing

We challenge AI systems with carefully designed adversarial inputs to evaluate how they respond under abnormal, malicious, or unexpected conditions. This helps identify weaknesses that may not appear during routine functional testing.



Human-Led Assessments

Our engagements are conducted by experienced security specialists who combine technical expertise with critical thinking. Human-led testing enables us to identify complex attack paths, chained vulnerabilities, and business logic weaknesses that automated testing may overlook.



Business Context

Technical findings are evaluated within the context of your organization. We assess how vulnerabilities could affect operations, customers, regulatory obligations, reputation, and strategic objectives, enabling more informed risk-based decisions.

Risk-Based Prioritization

Not every finding carries the same level of risk. We prioritize issues based on exploitability, likelihood, business impact, operational consequences, and organizational exposure to help focus remediation efforts where they matter most.

Actionable Recommendations

Every assessment concludes with practical recommendations designed to strengthen AI security, improve resilience, reduce attack surfaces, and support the secure adoption of artificial intelligence.

Why AI Red Teaming Is Important

AI systems can unintentionally:

Reveal confidential information
Be manipulated through prompt injection attacks
Ignore security rules
Leak sensitive business data
Perform unauthorized actions
Produce harmful or inaccurate responses
Expose hidden system instructions
Create compliance and reputational risks

Identifying these weaknesses before deployment—or before attackers do—helps protect your business, your customers, and your reputation.

Why Choose Maryvelle AI

At Maryvelle AI, we combine cybersecurity expertise with modern AI security testing to help organizations deploy AI with confidence. Our approach focuses on real-world attack scenarios, practical risk reduction, and clear recommendations—not just technical reports.

Comprehensive Security

We assess AI models, applications, APIs, and workflows to identify vulnerabilities across your entire AI environment.

Real-World
Testing

Our adversarial simulations replicate realistic attack techniques to evaluate how your AI systems perform under pressure.

Actionable
Results

Receive clear reports with prioritized findings and practical recommendations to strengthen AI security and reduce business risk.

Trusted
Expertise

Our structured methodology combines AI security knowledge, risk assessment, and industry best practices to deliver reliable results.

Choose the Right Service

Service	Primary Focus	Best For
AI Security	Strengthening the overall security of AI systems through security reviews, architecture assessments, governance, and remediation guidance.	Organizations implementing or operating AI solutions that want to improve their overall AI security posture.
AI Penetration Testing	Identifying exploitable vulnerabilities within AI applications, models, APIs, and supporting infrastructure through controlled security testing.	Organizations seeking to discover and remediate security weaknesses before they can be exploited.
AI Red Teaming	Simulating realistic attacks against AI systems to evaluate how they respond to sophisticated adversaries and AI-specific attack techniques.	Organizations requiring advanced security testing beyond traditional penetration testing.
Agentic AI Security	Assessing the security of autonomous AI agents, their permissions, workflows, memory, tools, and interactions with enterprise systems.	Organizations deploying AI agents or multi-agent environments.
AI Deepfake Risk Assessment	Evaluating the organization’s exposure to deepfake attacks, voice cloning, identity impersonation, and AI-enabled social engineering.	Organizations seeking to reduce risks associated with synthetic media and digital impersonation.
AI Integration Services	Securely integrating AI technologies into existing business applications, workflows, and enterprise systems.	Organizations adopting AI and requiring secure implementation and deployment support.