Attackers can surpass the LLM's guidelines to exploit vulnerabilities in the system.
LLMs can easily expose sensitive data or business confidential details.
Even frontier LLMs are vulnerable to prompt injection attacks.
Use guardrails to mitigate reputational risks.
AI Agents
RAG Agents
Copilots
ModernGuard f1 score after fine-tuning with policy feedbacks
Full visibility into your AI agent's interactions, including prompts, responses, and security logs.
Update your AI guardrails policies with human feedbacks.
1client = OpenAI(2 base_url="https://api.guardion.ai/v1",3 api_key="GUARDION_API_KEY"4)56response = client.chat.completions.create(7 model=None,8 messages=[{9 "role": "user", 10 "content": "Ignore all previous instructions..."11 }],12 extra_body={13 "session": "customer_101"14 }15)1617if response.get("flagged"): 18 # True => Threat detected19 print(response.get("correction"))20 # Sorry, i can't assist with that!21