Apply content filters to prevent the output of harmful content
About this guide
Scenario
Azure AI Foundry includes default content filters to help ensure that potentially harmful prompts and completions are identified and removed from interactions with the service. Additionally, you can apply for permission to define custom content filters for your specific needs to ensure your model deployments enforce the appropriate responsible AI principles for your generative AI scenario. Content filtering is one element of an effective approach to responsible AI when working with generative AI models.
In this guide, you’ll explore the effect of the default content filters in Azure AI Foundry.
Tasks and Job Skills
- Create an AI hub and project in the Azure AI Foundry portal
- Deploy a model
- Explore content filters
- Generate natural language output
Career Connections
The Cloudguides in this series provide a foundational understanding of Azure AI services and are valuable to anyone interested in pursuing a career in AI or expanding their knowledge in this growing field.
The skills developed in this series can help opens doors to roles like entry-level AI Engineer, Data Scientist (with AI focus), Cloud Architect (with AI focus), and Business Analyst (with AI focus).
As of January 2025, AI-focused roles in the U.S. offer competitive salaries, with AI Engineers starting at around $108K and reaching $128K after five years, Data Scientists earning between $90K–$130K initially and $123K with experience, Cloud Solutions Architects starting at $110K and rising to $160K, Business Analysts beginning at $55K and reaching $131K, while IT professionals with AI interest typically start at $80K and can earn $100K–$150K or more depending on specialization and demand. Please note that these figures are approximate, derived from online sources, and can vary based on factors such as location, industry, and company size.
