Find the Vulnerabilities Before Your Users Do
A 5-day adversarial testing campaign - 100+ attack vectors, prompt injection resistance scoring, safety boundary mapping, and hardening recommendations.
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The Red-Team Sprint is genai.qa’s adversarial testing engagement - a 5-day campaign that systematically attacks your GenAI application to find the vulnerabilities that automated scanners miss and users will eventually discover.
Why Human-Led Red-Teaming
Automated LLM security scanners test known attack patterns from a database. They run the same prompt injection templates against every application. They are a necessary baseline, and we use them as part of our toolkit.
But the attacks that actually breach GenAI applications in production are not in any database. They are context-specific. They exploit the unique combination of your system prompt, your retrieval pipeline, your tool-calling configuration, and your safety boundary definitions. Finding these requires a human adversary who understands your application’s specific architecture and can design creative, multi-step attack chains.
What automated scanners miss:
- Multi-turn social engineering - Gradually shifting the conversation context over 5-10 turns to bypass safety boundaries that hold against single-turn attacks.
- Indirect prompt injection - Embedding instructions in documents, user content, or retrieved context that the LLM executes as if they were system instructions.
- Tool-use exploitation - Manipulating an AI agent’s tool-calling behavior to execute unintended actions, access unauthorized data, or escalate permissions.
- Encoding attacks - Using base64, ROT13, Unicode variations, and other encoding techniques to bypass content filters that only match plaintext patterns.
What You Receive
Every Red-Team Sprint delivers a comprehensive vulnerability catalog that your engineering team can act on immediately. Each finding includes the attack vector, the specific bypass technique, reproduction steps, severity rating, and a recommended fix with implementation guidance.
The prompt injection resistance scorecard gives you a quantified measure of your application’s defensive posture - a number you can report to your board, share with enterprise customers, and improve over time.
For teams facing enterprise procurement requirements, the adversarial test report is formatted as audit-grade documentation that satisfies security review questionnaires.
Book a free scope call to discuss your application’s adversarial testing needs.
Engagement Phases
Threat Modeling & Attack Surface Mapping
Map the application's attack surface: prompt injection vectors, system prompt exposure, tool-calling capabilities, safety boundary definitions, and data exfiltration paths.
Adversarial Testing Campaign
Execute 100+ adversarial attack vectors including prompt injection (direct and indirect), jailbreak chains, multi-turn social engineering, safety boundary probing, tool misuse, and data extraction attempts.
Vulnerability Report & Hardening Recommendations
Deliver adversarial test report with severity-rated vulnerability catalog, prompt injection resistance scorecard, safety boundary map, and hardening recommendations.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Adversarial Coverage | No systematic adversarial testing - vulnerabilities discovered by users | 100+ attack vectors tested across OWASP LLM Top 10 categories |
| Prompt Injection Resistance | Unknown - guardrails untested against creative adversarial inputs | Quantified resistance score with specific bypass examples and fixes |
| Enterprise Readiness | No adversarial testing documentation for procurement | Audit-grade red-team report suitable for enterprise security reviews |
Tools We Use
Frequently Asked Questions
Will your testing break our production system?
No. We test against staging or sandbox environments. For production testing, we coordinate timing and scope with your engineering team and use rate-limited, non-destructive techniques.
What is the price?
USD 7,500 for standard red-teaming, USD 10,000 for red-team + safety boundary mapping. Fixed-price with guaranteed deliverables.
How does this differ from automated LLM security scanners?
Automated tools test known attack patterns. Our red-team specialists design creative, context-specific attack chains - multi-turn social engineering, indirect prompt injection via retrieved documents, agent permission escalation - that scanners cannot generate.
Do you cover the OWASP LLM Top 10?
Yes. Every red-team sprint covers all 10 OWASP LLM vulnerability categories: prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency, overreliance, and model theft.
Break It Before They Do.
Book a free 30-minute GenAI QA scope call. We review your AI application, identify the top risks, and show you exactly what to test before you ship.
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