Meta Llama
Secure Open-Weight AI

Secure Open Models at Scale
Add security to Together AI's lightning-fast inference. Protect Llama, Mistral, DeepSeek, and other open models from prompt attacks and data leakage at any scale.
Together focuses on inference speed, not safety filtering.
Custom models hosted on Together may have compromised safety training.
Fast serverless inference can amplify successful attacks rapidly.
Together provides fast inference but minimal safety filtering
Custom fine-tuned models may have degraded safety
Serverless inference means rapid scaling of potential attacks
Wardstone handles security so you can focus on inference optimization
Add Wardstone to your Together AI integration.
Validate inputs before calling Together's chat completion API.
Screen model responses for harmful content and data leakage.
Use the same security policy across different Together models.
Together offers competitive open-source model pricing. Wardstone adds security without negating cost benefits.
# Step 1: Check user input with Wardstonecurl -X POST "https://api.wardstone.ai/v1/detect" \ -H "Authorization: Bearer YOUR_WARDSTONE_KEY" \ -H "Content-Type: application/json" \ -d '{"text": "User message here"}' # Response: { "prompt_attack": { "detected": false, ... } } # Step 2: If safe, send to Together AIcurl -X POST "https://api.together.xyz/v1/chat/completions" \ -H "Authorization: Bearer YOUR_TOGETHER_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "meta-llama/Llama-4-Scout-17B-16E-Instruct", "messages": [{"role": "user", "content": "User message here"}] }' # Step 3: Check Together AI response with Wardstone before returning to userWardstone Guard protects all Together AI models with the same comprehensive security coverage. Whether you're using the latest releases or legacy models still in production, every API call is protected.
Secure Open-Weight AI
Secure European AI Models
Secure High-Performance AI
Try Wardstone Guard in the playground to see detection in action.