AIVory Guard

Product Introduction

1. AIVory Guard is a real-time compliance validation tool designed specifically for AI-generated code workflows that scans for violations during development. It integrates directly into your IDE or works via MCP agents to detect security and regulatory issues as code is written. The solution supports over 18 compliance standards including OWASP, GDPR, HIPAA, PCI-DSS, and SOC2 to prevent violations from reaching production.

2. The core value of AIVory Guard lies in eliminating the trade-off between development speed and compliance requirements when using AI coding assistants. It provides immediate feedback on violations during the coding phase, reducing remediation costs by 30-50x compared to post-production fixes. This enables developers to maintain velocity with AI tools while ensuring all output meets enterprise security and regulatory standards automatically.

Main Features

1. Real-time violation detection highlights compliance issues instantly within the IDE during coding sessions, covering both human-written and AI-generated code. The scanner identifies critical flaws like hardcoded credentials, PII exposure, improper logging practices, and insecure configurations as developers type. This immediate feedback loop prevents violations from being committed or deployed, significantly reducing remediation timelines.

2. Comprehensive standard coverage includes automated scanning for 18+ compliance frameworks such as OWASP Top 10, GDPR Article 32, HIPAA technical safeguards, PCI-DSS requirement 6, and SOC 2 trust principles. The system continuously updates rule sets to reflect the latest regulatory amendments and security best practices. Custom rule creation is available for enterprise customers needing organization-specific policies.

3. Seamless integration supports JetBrains IDEs, VS Code, Cursor, Claude Code, GitHub Copilot CLI, Windsurf, and any MCP-compatible agent through dedicated plugins or CLI tools. Setup requires under 30 seconds with automatic configuration detection for most environments. The tool operates locally during development while offering optional cloud dashboards for team compliance tracking and historical analysis.

Problems Solved

1. AIVory Guard addresses the critical pain point of undetected compliance violations in AI-generated code that passes initial review but fails security audits. Traditional scanning occurs too late in the development cycle, allowing vulnerabilities like exposed credentials or PII leaks to reach production. This gap results in costly fines, security breaches, and technical debt that averages $3,000-$5,000 per violation when discovered post-deployment.

2. The primary target user groups are development teams utilizing AI coding assistants like GitHub Copilot, Claude Code, or Cursor in regulated industries. Security engineers and compliance officers also benefit from centralized violation dashboards and audit trails. The solution scales from individual developers to enterprise teams in fintech, healthtech, SaaS, and other sectors requiring strict regulatory adherence.

3. Typical use cases include real-time scanning during AI-assisted coding sessions to block credential logging before commit, pre-commit validation for GDPR-compliant data handling in payment processing functions, and automated SOC 2 compliance checks during CI/CD pipeline integration. Additional scenarios involve training AI models to generate compliant code patterns and providing audit-ready violation reports for certification processes.

Unique Advantages

1. Unlike post-commit scanners, AIVory Guard performs write-time validation directly in the developer's workflow with sub-second feedback, catching issues when fixes cost approximately $100 versus $3,000+ in production. Competitors lack real-time IDE integration and AI-generated code detection capabilities, focusing instead on generic security scanning without compliance framework specialization.

2. The innovative MCP agent architecture enables compliance enforcement within AI coding tools like Claude and Cursor before code generation completes. Proprietary violation fingerprinting technology identifies patterns specific to LLM-generated code that traditional SAST tools miss. The system also provides one-click remediation suggestions tailored to the context of each violation.

3. Competitive advantages include free OWASP scanning for all users, zero data retention policies, and open-source core components for transparency. The solution offers broader framework coverage than alternatives with specialized rules for 18+ standards versus basic security scanning. Enterprise differentiation includes on-premise deployment options, custom rule engines, and SLA-backed scanning accuracy guarantees.

Frequently Asked Questions (FAQ)

1. What does the free tier include? The free version provides unlimited OWASP Top 10 scanning across all supported IDEs with real-time violation highlighting and basic remediation suggestions. It includes 50 scans per week for non-OWASP standards through the CLI and MCP endpoints. Community support is available via GitHub issues, while paid tiers unlock full compliance frameworks and priority assistance.

2. Which IDEs and AI tools are supported? Native plugins exist for JetBrains IDEs (IntelliJ, PyCharm, WebStorm), VS Code, and Cursor with configuration under 30 seconds. MCP agent integration works with Claude Code, GitHub Copilot CLI, Windsurf Cascade, and any MCP-compatible AI coding assistant. The system also provides CLI tools for CI/CD pipeline integration and custom workflow automation.

3. How does remediation assistance work? Violations display inline fix suggestions like environment variable substitution for hardcoded secrets or data masking patterns for PII exposure. Developers apply one-click solutions directly in their IDE without context switching. For complex issues, detailed documentation links to compliance standards and secure coding best practices are provided alongside code examples.