Expertise & Skills

Generative AI Red Teaming

At Agentik OS, we specialize in comprehensive generative AI red teaming, a critical practice for launching robust and secure AI applications. Our expertise goes far beyond simple prompt testing; we deploy a sophisticated, multi-layered strategy to proactively identify and mitigate vulnerabilities before they impact your users or reputation. We have successfully fortified AI systems across sensitive domains, including securing a fintech chatbot against prompts designed to elicit unauthorized financial advice and hardening a healthcare AI to prevent the leakage of protected health information. Our methodology combines automated vulnerability scanning using tools like Garak and custom-built harnesses with manual, expert-led adversarial attacks. We simulate real-world threats, from jailbreaking and prompt injection to model inversion and data poisoning attacks, to test the absolute limits of your system’s safety filters. For a major enterprise client, our red teaming process identified over 50 unique exploit vectors and led to a 98% reduction in harmful or non-compliant outputs, ensuring a safe and successful product launch. We deliver a clear, actionable report that not only details vulnerabilities but also provides concrete code-level and prompt-level recommendations for remediation.

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Benefits

Why Choose Our Generative AI Red Teaming

Concrete advantages that directly impact your bottom line.

Proactively identify and patch security vulnerabilities like prompt injection and data leakage.

Reduce the risk of reputational damage from biased, harmful, or off-brand AI responses.

Ensure compliance with industry regulations and emerging AI safety standards.

Increase user trust and confidence by demonstrating a commitment to responsible AI.

Receive a clear, actionable roadmap for hardening your model and system architecture.

Our Approach

How We Help

A structured approach to delivering measurable results.

Threat Modeling & Scope Definition

We begin by collaborating with your team to understand your AI's specific use case, potential threat actors, and risk tolerance. This allows us to define the scope of the red teaming engagement and prioritize the most critical areas for testing.

Multi-Vector Adversarial Testing

Our team executes a combination of automated and manual tests. We use adversarial prompting, fuzzing, and simulation of various attack scenarios to identify weaknesses in your model's alignment, safety filters, and underlying infrastructure.

Vulnerability Reporting & Remediation

You receive a comprehensive report detailing all identified vulnerabilities, their potential impact, and a step-by-step guide for remediation. We provide concrete recommendations for prompt adjustments, filter improvements, and architectural changes to harden your system.

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