Secure Your GenAI Agents 
Against Industry-Specific Attacks

Move beyond generic prompts and protect against vulnerabilities before they reach production
Generic red teaming is often a check-box exercise that misses critical logic flaws. The GenR3d LLM Security Analyzer leverages our proprietary Industry Abuse Case Library to simulate targeted attacks tailored specifically to your sector. This empowers you to shift security left, hardening your posture before your first user ever interacts with your agent.
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Generic Security is No Longer Enough

Generative AI isn't just another layer of your tech stack; it is the conversational engine driving your most critical business interactions.By leveraging dozens of sector-specific use cases, we neutralize the sophisticated social engineering attacks that generic scanners overlook - safeguarding you from sensitive data loss, business process attacks like suuply chain disruption, and protecting your employees from the unique risks inherent in GenAI.

How it works

Create

Create your chatbot in the GenR3d LLM Security Analyzer platform. As you describe the data sources and use cases relevant to your chatbot, our backend system builds a profile to select the right Abuse Cases for your circumstances.

Correlate & Customise

Our platform then correlates your use cases to known Abuse Cases in our industry specific abuse case library. After associating the right Abuse Cases, we automatically adapt the attack patterns to your specific data stores, information available, sensitivity, and more.

Assess

When requested, our platform executes real time prompt-based attacks as if it was a user or malicious actor. Reacting in real-time to responses and perceived guardrails or protections, the platform attempts to execute the assigned Abuse Cases against your chatbot.

Report

The GenR3d platform delivers two types of reports. First, an audit-ready report containing all of the information on each executed Abuse Case, the proposed mitigations, and any evidence collected is prepared. This is perfect for security to review and sign-off in major milestone reviews. Second, each finding from a scan is available as an atomic JSON unit, perfect to send to existing bug trackers or ticketing systems for further review, analysis, and sign off.

Need help getting started?

If you're still unsure if this is right for you, contact us for a no pressure conversation. We're can help with questions about getting the right governance, processes, or risk analysis in place with Generative AI solutions.
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