RISCPoint is a leading cybersecurity and compliance services provider supporting organizations ranging from Fortune 10 enterprises to early-stage startups. Through its RADAR platform, RISCPoint delivers AI powered cybersecurity intelligence, continuous threat discovery and Penetration Testing as a Service (PTaaS) capabilities to more than 500,000 users.
Problem: Traditional regulatory compliance software relied on monitoring
Security and compliance teams spend significant time tracking updates across multiple regulatory frameworks, government advisories, standards organizations, and cybersecurity news sources.
Traditional regulatory compliance software often depends on manual monitoring processes, fragmented information sources, and consultant-driven advisory creation, creating operational bottlenecks and increasing compliance risk.
Solution: AI powered regulatory compliance software
GoML developed Project Compass, an AI powered regulatory compliance software platform using GoML's AI Content Generation Accelerator to automatically monitor public compliance and cybersecurity sources, filter relevant information, generate professional advisories, categorize content, and route recommendations for human review before publication.
AI powered compliance intelligence collection
Project Compass continuously monitors compliance and cybersecurity information sources through an automated scraping infrastructure.
• Automated monitoring of public compliance and regulatory websites
• Configurable scraping schedules based on source update frequency
• Dynamic source management through PostgreSQL
• CVE, vulnerability, and security news aggregation
• Continuous collection of compliance framework updates
AI powered advisory generation
The regulatory compliance software uses Amazon Bedrock and Claude Sonnet to transform raw content into structured compliance advisories.
• Compliance relevance detection and filtering
• Automated advisory generation using LLMs
• Regulatory context and background enrichment
• Actionable recommendations for compliance teams
• Standardized markdown advisory formatting
Compliance categorization and intelligence tagging
The platform automatically organizes advisories into framework-specific intelligence feeds.
• Automatic framework classification
• Multi-category tagging and metadata generation
• Severity and priority assessment
• Compliance domain identification
• Search-ready content organization
Human review and approval workflow
Project Compass combines AI automation with expert oversight to maintain advisory quality.
• Draft advisory creation for consultant review
• Approval and publishing workflows
• Reviewer feedback and revision tracking
• Advisory audit history management
• Quality assurance and governance controls
Compliance intelligence API platform
The platform exposes APIs that integrate directly with the RADAR ecosystem.
• Manual scraping trigger APIs
• Draft advisory retrieval APIs
• Advisory publishing workflows
• Source management endpoints
• Compliance intelligence delivery APIs
Regulatory compliance software architecture
The solution is built on a scalable AWS-based architecture designed for continuous compliance intelligence operations.
• Event-driven processing using AWS EventBridge
• Serverless execution with AWS Lambda
• AI orchestration through Amazon Bedrock
• PostgreSQL-backed advisory management
• Monitoring and observability using CloudWatch
Impacts
• 80% reduction in manual compliance monitoring effort
• 70% faster advisory generation and review workflows
• 90% reduction in time spent researching compliance updates across multiple sources
• 65% improvement in multi-framework compliance intelligence
• 75% reduction in missed regulatory and security updates
About
Before Gen AI and after Gen AI
“RISCPoint transformed compliance monitoring into an AI-powered intelligence platform that delivers timely regulatory and security insights at scale.”
Prashanna Rao, Head of Engineering, GoML
Key takeaways for regulatory compliance software
Common challenges
- Regulatory compliance software often struggles with fragmented data sources
- Manual compliance monitoring does not scale effectively
- Compliance advisory creation consumes significant consultant time
- Organizations risk missing important regulatory updates
Practical guidance
- Use AI powered regulatory compliance software to automate compliance intelligence gathering
- Combine LLMs with human review workflows to improve advisory quality
- Implement automated categorization for framework-specific compliance feeds
- Build event-driven architectures to support continuous monitoring and intelligence generation
Ready to build AI-powered regulatory compliance software
Partner with GoML to automate compliance monitoring and advisory generation with AI Matic.
