Azure AI Content Safety

Azure AI Content Safety Cheat Sheet

Azure AI Content Safety is a collection of services to safeguard users and businesses by identifying and filtering harmful content across applications. Using AI models, it automatically detects sensitive material such as violence, hate speech, and adult content in various forms, including text, images, and videos.

These services provide scalable content moderation solutions suitable for various platforms.

Features	Functionality
Prompt Shields	Analyzes text to identify potential risks of user input attacks targeting large language models (LLMs).
Groundedness Detection	Assess whether text generated by LLMs is aligned with the source materials provided by the user.
Protected Material Text Detection	Identifies copyrighted or known text instances, such as song lyrics, articles, recipes, and web content, in AI-generated text.
Custom Categories (Standard) API	Enables creating and training custom content categories to detect specific content patterns in text.
Custom Categories (Rapid) API	Facilitates the definition of emerging harmful content patterns, enabling text and image scanning for these patterns.
Analyze Text API	Detects harmful content in text, including sexual content, violence, hate speech, and self-harm, with varying severity levels.
Analyze Image API	Identifies harmful content in images, including sexual content, violence, hate speech, and self-harm, with varying severity levels.

Use Cases:

Content Moderation – Detect and filter inappropriate content (e.g., hate speech, offensive language) from user-generated content, such as chat, posts, or comments.
Social Media & Forums – Automated moderation in online communities, ensuring that discussions remain appropriate and safe.
Video Streaming – Detect explicit content in videos or live streams, ensuring they adhere to content policies.
Gaming Platforms – Monitor in-game chats and user content for harmful behavior or inappropriate material.
Educational Platforms – Protect young learners from harmful content in online learning environments.

Security:

Privacy Compliance: Azure AI Content Safety adheres to industry-standard privacy and compliance requirements, ensuring data privacy is respected during content processing.
Data Anonymization: The content moderation models are trained to process data in ways that anonymize sensitive information and comply with data protection regulations like GDPR.
Customizable: It allows businesses to fine-tune AI models to meet specific content guidelines for their platform.
No Access to Original Content: The AI model scans content without storing or exposing the original material, reducing risks related to unauthorized data exposure.

Pricing:

Pay-as-you-go: Azure AI Content Safety follows a consumption-based pricing model, where businesses are charged based on the number of requests or the amount of content processed.
Pricing Tiers: Different pricing tiers are available, depending on the scale and customization required for each organization. Prices typically depend on the number of transactions, the type of content analyzed (text, image, video), and whether you require custom model training.
Free Tier: Some services offer a limited free tier for low-scale usage, which is ideal for testing or smaller applications.

For detailed pricing information, visit Azure AI Content Safety Pricing.

References:

Written by: Ace Kenneth Batacandulo

Ace is AWS Certified, AWS Community Builder, and Junior Cloud Consultant at Tutorials Dojo Pte. Ltd. He is also the Co-Lead Organizer of K8SUG Philippines and a member of the Content Committee for Google Developer Groups Cloud Manila. Ace actively contributes to the tech community through his volunteer work with AWS User Group PH, GDG Cloud Manila, K8SUG Philippines, and Devcon PH. He is deeply passionate about technology and is dedicated to exploring and advancing his expertise in the field.