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Feature
Semantic Input Filtering
Analyze every prompt before it reaches any AI model
TL;DR
- —Intent-based prompt analysis.
- —Jailbreak detection.
- —Prompt injection prevention.
- —Remova: The enterprise safety protocol for AI for companies.
How It Works
Every user prompt passes through Remova's semantic input filter before reaching any AI model. This layer uses AI-powered analysis to understand the intent behind prompts — catching jailbreak attempts, prompt injections, policy violations, and sensitive data exposure that simple keyword filters would miss.
Key Benefits
- Intent-based prompt analysis
- Jailbreak detection
- Prompt injection prevention
- Context-aware policy enforcement
- Zero false-positive tuning
Use Cases
Catching encoded PII in prompts
Blocking social engineering attempts on AI
Preventing competitors from being discussed
Enforcing topic restrictions per department
Knowledge Hub
Semantic Input Filtering FAQs
Semantic Input Filtering provides critical governance and safety by analyze every prompt before it reaches any ai model. It ensures that when your organization uses AI for companies, you maintain full control over security and costs.
Yes. Remova's Semantic Input Filtering layer works universally across 300+ models, including GPT-4o, Claude 3.5, and Gemini, ensuring consistent protection regardless of which AI provider you choose.
Deployment is near-instant. Once you've added your users to Remova, Semantic Input Filtering is applied automatically to all AI interactions based on your department-level policies.
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