With thousands of public LLMs now accessible across the internet, every organization — regardless of size or sector — must urgently develop a Security Posture for AI. 

1. Prompt Engineering Governance
   Not all prompts are created equal. Establish standards for how your teams interact with AI systems. Unstructured, unvetted prompts are open doors for data leakage and manipulation.
    
   2. Prompt Poisoning Defense 
   Malicious actors are actively crafting inputs designed to manipulate AI outputs — injecting false data, bypassing guardrails, or extracting sensitive information. Your AI systems need adversarial testing before going live. 
    
   3. Data Sanitization Protocols 
   What goes into an LLM matters as much as what comes out. Sensitive organizational data, PII, and confidential records must be scrubbed BEFORE they enter any AI pipeline — public or private. 
    
   4. AI Acceptable Use Policy (AUP) 
   Employees are already using public LLMs whether you've authorized it or not. Define boundaries, approved tools, and reporting protocols now — not after an incident. 
    
   5. AI Risk Register 
   Treat AI like any other third-party risk. Map your AI touchpoints, classify the data flowing through them, and assess exposure regularly.