AI Risk Detection with Red Teaming
Detect all vulnerabilities in your AI
Find all LLM vulnerabilities with Enkrypt AI’s Red Teaming capabilities. Test any model to jumpstart your AI initiatives.
Why Red Teaming?
Mitigate Business Risk with Vulnerability Testing
The constant emergence of sophisticated attacks on AI applications requires a continuous and more advanced testing approach.
Our Red Teaming technology runs automated, continuous and customized tests to produce the most accurate results. So, you can stay one step ahead of hackers and mitigate risk.
Introducing Red Teaming by Enkrypt AI
Detect Risk Before it Impacts You.
Our Red Teaming technology empowers organizations to build GenAI applications without worrying about prompt injections, data loss, harmful content, and other LLM risks. All powered by the world's most advanced AI security and safety platform.
Always Secure. Ever Improving.
Continuously Simulate Real-world Attack Scenarios with the Latest Variations Relevant to Your Use Case.
Comprehensive Tests
Algorithmically generated tests with 150+ categories on Red Teaming
Customized Red Teaming
Customizable tests for different industries and use case
Always Up to Date
Latest attack trends and continuous research
Regulatory
Covers NIST / OWASP / MITRE
Why Choose Enkrypt AI Red Teaming
Discover Security Gaps Proactively.
Dynamic Prompts
Evolving set of prompts for optimal threat detection (unlike static sets).
Multi-Blended Attack Methods
Diverse and sophisticated LLM stress-testing techniques.
Actionable Safety Alignment & Guardrails
Detailed assessment and recommendations.
Domain Specific
Testing for Industry Specific use cases.
LLM Leaderboard
Compare and select the best LLM model for your AI apps
Our industry-first LLM leaderboard lets you assess which model is most secure and safe so you can accelerate AI adoption and minimize brand damage. It’s free of charge to everyone who wants to develop, deploy, fine-tune, and use LLMs for AI applications.
Check out the risk scores and various threats found in the most popular LLMs.
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Everyone is Fine-Tuning LLMs (With Major Risk)
Avoid the inherent dangers of AI fine-tuning with guardrails
Our research on foundational LLMs reveals that fine-tuning significantly increases vulnerabilities. Such insight emphasizes the need for external safeguards. You can easily detect and mitigate vulnerabilities with Enkrypt AI.
Where do you use Red Teaming?
Prevent AI from Going Rogue
Select Secure LLM Models
Hugging Face has 1M models. Choose the best one for your app
Augment Red Teams
Get comprehensive jailbreak reports for your red teaming efforts.
Build Secure AI
Detect threats in your AI apps before deployment with actionable risk reports.
Getting Started with Red Teaming
Fast deployment, accurate results, quick time to value
Configure Gen AI Endpoint
Red Teaming can be executed on any Generative AI endpoint. The first step is to enter the Endpoint URL and set up Authentication. There are two available Authentication options:
1. API Key
2. Bearer Token
Authentication details can be added either to the Headers or Query Parameters. Once Authentication is validated, proceed to the next step.
Configure and Run Red Teaming Task
LLM Model Name: Specify the model's name used in the APIs (e.g., for GPT-4 Turbo, the model name is gpt-4-turbo).
System Prompt: Add the system prompt you use for your LLM application.
Attack Types and Test Percentage: Select the types of attacks you want to test for and the percentage of tests you wish to run.
Get Risk Report
After test completion, you’ll receive a Risk Score for the Generative AI endpoint.
The overall Risk Score is the average of the risk scores from Jailbreaking, Toxicity, Bias, and Malware tests.
Benefits
Subtitle or Delete?
Select Secure LLM Models
Hugging Face has 1M models. Choose the best one for your app
Augment Red Teams
Get comprehensive jailbreak reports for your red teaming efforts.
Build Secure AI
Detect threats in your AI apps before deployment with actionable risk reports.
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