Comprehensive AI Governance Features

RAIGuard's Prompt Validation Engine acts as the first line of defense, analyzing every user input before it reaches your language models. Protect against security vulnerabilities, data leaks, and malicious attacks.

Validation Checks Include:

• Security Threats: Detect prompt injection attacks, jailbreak attempts, and adversarial inputs
• PII Detection: Identify and redact sensitive personal information (SSN, credit cards, emails, phone numbers)
• Jailbreaking Detection: Block attempts to bypass model safety guidelines and restrictions
• Toxicity & Profanity: Filter offensive language and inappropriate content
• Topic Filtering: Restrict prompts to allowed business domains and use cases
• Language Detection: Ensure prompts are in expected languages
• Custom Rules: Define your own validation logic with regex patterns and business rules

Example JSON Output:

Integration Partners: Azure Content Safety, Google Perspective API, Custom ML Models

Ensure every response from your LLM meets quality, safety, and compliance standards before reaching end users. The Output Validation Engine provides real-time quality assurance for AI-generated content.

Quality & Safety Checks:

• Bias Detection: Identify demographic, gender, and cultural biases in responses
• Toxicity Filtering: Block harmful, offensive, or inappropriate outputs
• Hallucination Detection: Flag factually incorrect or unsupported claims
• Relevance Scoring: Ensure responses actually answer the user's question
• Brand Safety: Verify outputs align with your brand voice and guidelines
• Compliance Validation: Check adherence to regulatory requirements (GDPR, HIPAA, etc.)
• Sentiment Analysis: Monitor emotional tone and appropriateness

Continuous Improvement:

RAIGuard learns from human feedback to improve validation accuracy over time. When outputs are flagged, they can be routed to human reviewers whose decisions train the validation models.

Take control of your LLM spending with intelligent budget management, real-time alerts, and automatic optimization features that reduce costs without sacrificing quality.

Cost Control Features:

• Budget Limits: Set organization-wide, team-level, and per-user spending caps
• Real-Time Alerts: Get notified when budgets approach thresholds (50%, 75%, 90%)
• Intelligent Throttling: Automatically block or queue requests when budgets are exceeded
• Prompt Compression: Reduce token usage by up to 40% with smart text optimization
• Model Routing: Automatically use cheaper models for simple queries
• Usage Analytics: Detailed breakdowns by user, team, model, and time period
• Cost Forecasting: Predict monthly spending based on current usage patterns

Dashboard Mockup Features:

Budget Overview:

• Current Month: $8,450 / $10,000 (84.5% used) - Status: ⚠️ Warning
• Top Spender: Engineering Team ($3,200)
• Savings from Compression: $1,680 this month
• Projected End of Month: $9,850 (within budget)

Alert Configuration: Set custom thresholds and notification channels (email, Slack, webhooks)

Maintain complete transparency and regulatory compliance with comprehensive logging of every AI interaction. RAIGuard creates an immutable audit trail that satisfies the strictest regulatory requirements.

Logging Capabilities:

• Complete Interaction History: Every prompt, response, and validation result
• Metadata Tracking: User IDs, timestamps, session info, model versions, API endpoints
• Validation Decisions: Detailed explanations for why content was blocked or flagged
• Cost Attribution: Token usage and costs per interaction
• Performance Metrics: Latency, success rates, error tracking
• Change History: Track modifications to policies, rules, and configurations

Search & Filter:

• Full-text search across all prompts and responses
• Filter by date range, user, status, validation result
• Export to CSV, JSON, or compliance-ready PDF reports
• API access for custom integrations and analysis

Log Viewer Concept:

Compliance Ready: Pre-built reports for EU AI Act, SOC 2, GDPR, and HIPAA audits

Combine AI automation with human expertise. Route edge cases and flagged content to human reviewers for approval, creating a feedback loop that continuously improves your AI governance.

HITL Features:

• Review Queue: Centralized dashboard for flagged content awaiting review
• Approval Workflows: Multi-stage review processes with role-based access
• Reviewer Assignment: Automatic routing based on content type and expertise
• Context Preservation: Full interaction history visible to reviewers
• Feedback Integration: Reviewer decisions improve validation models
• SLA Tracking: Monitor review times and ensure timely responses
• Escalation Paths: Automatic escalation for time-sensitive reviews

Use Cases:

• Approve borderline content that was flagged but may be acceptable
• Review high-stakes decisions (medical advice, legal guidance, financial recommendations)
• Validate novel use cases not covered by existing rules
• Quality assurance sampling of approved content

Continuous Learning: Human feedback trains models to handle similar cases automatically in the future

RAIGuard integrates seamlessly with your existing AI infrastructure and tooling. We support the leading LLM providers and complementary AI safety services.

LLM Providers:

• OpenAI: GPT-4, GPT-3.5, ChatGPT API
• Azure OpenAI Service: All models with enterprise security
• Google Gemini: Gemini Pro and Ultra
• AWS Bedrock: Claude, Llama, and other foundation models
• Anthropic Claude: Direct API integration

Monitoring & Analytics:

• LangFuse: Advanced tracing and observability
• Azure AI Foundry: Enterprise AI development platform
• Weights & Biases: Experiment tracking and model monitoring

Safety & Compliance APIs:

• Google Perspective API: Toxicity and abuse detection
• Azure Content Safety: Multi-lingual content moderation
• AWS Comprehend: PII detection and entity recognition

Extensible Plugin Architecture:

Build custom integrations using our plugin SDK. Connect proprietary tools, internal services, or specialized validation models unique to your organization.