AI Red Teaming

Uncover AI weaknesses before malicious actors do with AI red teaming.

    The rapid adoption of generative AI introduces complex security and compliance risks that legacy testing methods often don’t fully address. Relying on automated scanners leaves your organization exposed to cybercriminals targeting the unique architecture of AI systems and the Large Language Models (LLMs) that often underpin them. CBIZ Pivot Point Security conducts rigorous, manual AI red teaming to identify these hidden weaknesses, helping you improve your security posture and stay ahead of threats.

    Validate Your AI Security Posture

    Many standard “red teaming” exercises focus too narrowly on the model itself, running simple automated scripts to provoke undesirable outputs or “jailbreaks.” However, malicious actors do not operate in a vacuum – they target your entire AI ecosystem. If your defenses do not account for how your AI integrates with your broader business operations, you remain exposed.

    Our manual AI red teaming goes beyond the surface. We evaluate your system holistically, uncovering complex, chained vulnerabilities that automated scanners and traditional pentesting methods consistently miss.

    Specialized AI Penetration Testing Services

    Malicious actors recognize that an AI model is rarely an isolated asset – it is deeply connected to your broader operations. That is why our AI penetration testing services do not stop at simple model jailbreaks. We simulate a full attack kill chain to evaluate how your generative AI integrates with your APIs, plug-ins, data stores, and network infrastructure.

    Modern AI systems span a range of architectures: retrieval-augmented generation (RAG), cache-augmented generation (CAG), chatbots, autonomous agents, agentic workflows, and emerging frameworks such as the Model Context Protocol (MCP), each introducing distinct data flows, trust boundaries, and attack surfaces. These differences materially impact risk, from prompt injection and data leakage in RAG pipelines to tool abuse and decision manipulation in agentic systems. As a result, effective AI red teaming cannot rely on generic testing approaches; it must begin with architecture-specific threat modeling to identify how inputs, models, memory, and external integrations can be exploited. Starting with threat modeling ensures testing is targeted, realistic, and aligned to the actual risks inherent in each AI design.

    Our manual generative AI red teaming methodology rigorously tests your entire ecosystem to identify novel, chained vulnerabilities that automated scanners miss, including:

    Prompt injection

    Exploitation of hidden instructions that override your model’s intended guidelines.

    Data poisoning

    Manipulation of the training or operational data to intentionally compromise AI decision-making.

    Model drift

    Unintended degradation of model behavior and security guardrails over time.

    Our methodology also checks for bias and explainability failures, evaluating the model’s transparency to ensure decisions are justifiable and do not introduce compliance risks.

    Aligning AI Security with Governance Frameworks

    Our specialized red teaming operates as a core component of our broader AI Governance and Advisory Services. Securing your models against complex threats is not just an IT imperative – it is a foundation for defensible compliance evidence.

    A rigorous AI security audit provides the concrete evidence necessary to demonstrate that your risk management controls are effective. We guide your organization in validating its defenses to comply with voluntary frameworks such as the National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF), as well as binding regulations such as the EU AI Act, and support your readiness for ISO/IEC 42001 certification.

    Why Choose CBIZ Pivot Point Security for AI Model Security Testing?

    When you partner with us for AI model security testing, you benefit from a team that possesses deep expertise in the complex Cybersecurity, Data Governance, and Privacy programs that underpin true AI risk management.

    Many vendors will hand over a list of vulnerabilities and walk away. Working with us means you will never start a remediation effort with a blank sheet of paper or a complicated template to fill out. We take pen to paper on your behalf, delivering bespoke remediation strategies and documentation that you only need to review and approve. We are proud to offer a satisfaction guarantee – if we do not achieve your organizational goals, we will adjust your bill accordingly.

    Secure Your Generative AI Environment

    Don’t wait for cybercriminals to map your AI attack surface. Contact CBIZ Pivot Point Security today to schedule a strategy assessment and proactively improve your security posture.

    Contact Us Today

    Have a question? Please fill out the form and we will reply as soon as possible.

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