Want to know how robust is your chatbot against LLMĀ attacks? Uncover them with our vulnerability test š
Build Your AI Product Without Worries
Build your AIĀ product without worrying about AI security risks and compliance
Protection against LLMĀ attacks:Ā prompt injection, jailbreaks...
LLM-agnostic: works with any 1st or 3rd party LLM
Integrates with 2 line of code
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
See How It Works
Mitigation and prevention of LLM attacks
Our solution identify any attempt to attack your AI product. When identified the risk we automatically block any interaction with the model and send a notification inside the centralized dashboard where you can monitor any risks that you are incurring
Work with the AIĀ models you use
Whether you're using the OpenAI API, Mistral, Cohere, or Anthropic, you remain in full control. Glaider integrates effortlessly with your existing setup, providing protection against any prompt injection attempts.
Deployment Options
import glaider
# Initialize glaider with the API keyglaider.init(api_key=<API-KEY>)
result = glaider.protection.detect_prompt_injection(prompt=prompt)
SKDĀ Implementation
With just a few lines of code, developers can quickly enhance the security of their GenAI applications without hassle.
On premise supported
Glaider integrates easily with the browser that your organization is using
Assess the vulnerability of your AIĀ Chatbot
Evaluate and enhance the robustness and security of your system prompts, making your GenAI applications more resilient and secure.
Receive a score on your chatbotās response to prompt injection attacks.
Made by developers for developers. If you're not a developer no worries we'll help you in setting the test
