1 min read
AI Safety Guardrails: Implementing Content Filtering in Azure OpenAI
Maintain comprehensive logs of all content filtering decisions for compliance and incident investigation. Every blocked request should be logged with…
AI Safety
14 articles
1 min read
Implementing Guardrails for Production AI Systems
Filter and sanitize user inputs before they reach the LLM. Verify AI responses before returning them to users.
1 min read
Implementing Guardrails for Production LLM Applications
Guardrails are essential for enterprise AI deployments, protecting both users and your organization.
1 min read
AI Safety Research: 2025 Priorities and Practical Applications
AI safety isn't optional - it's a requirement for production AI. Build safety in from the start, not as an afterthought.
1 min read
Agent Safety Patterns: Building Trustworthy AI Systems
Safety in AI agents is not optional - it's foundational. Build safety in from the start, and your agents will be both powerful and trustworthy.
1 min read
Hallucination Mitigation Strategies for LLM Applications
Comprehensive strategies for detecting and mitigating hallucinations in LLM-generated content.
1 min read
Harmful Content Detection in AI Applications
Techniques and systems for detecting harmful content in AI-generated and user-submitted text.
2 min read
Content Moderation Patterns for AI Applications
Design patterns and best practices for implementing content moderation in AI-powered applications.
1 min read
Azure AI Content Safety: Comprehensive Content Moderation
Implementing Azure AI Content Safety for robust content moderation in AI applications.
1 min read
Jailbreak Prevention Strategies for LLM Applications
Comprehensive techniques for preventing jailbreak attacks and maintaining LLM safety boundaries.
1 min read
Prompt Injection Defense: Protecting LLM Applications
Comprehensive strategies for defending against prompt injection attacks in LLM applications.
1 min read
AI Safety Fundamentals for LLM Applications
Essential AI safety concepts and practices for building responsible LLM applications.
1 min read
Constitutional AI: Self-Supervised Alignment
Understanding Constitutional AI and how it enables scalable alignment through self-critique and revision.
1 min read
Responsible AI Tools and Practices for Azure Applications
1. Start with fairness : Measure before deploying 2. Document everything : Model cards are essential 3. Monitor continuously : Fairness can drift 4. Include…