AIG Scannerv1.0.2

Security teams scan AI infrastructure services (e.g., model serving endpoints, vector databases) on local or private networks for known vulnerabilities using A.I.G's built-in scanner. This automates CVE checks for common AI infra components.

Organizations audit third-party MCP servers or AI tool repositories for security flaws before integration. The scanner evaluates GitHub repos or local skill directories for code vulnerabilities and misconfigurations.

Companies with deployed AI agents scan agent configurations stored in A.I.G for unsafe permissions or data exposure. This ensures agent settings adhere to security policies before production use.

Red teams assess LLM deployments for jailbreak susceptibility by submitting adversarial prompts and analyzing responses. The skill automates evaluation using configurable target and evaluation models.

After submitting a scan, users retrieve results with optional polling. This supports periodic re-checks of infrastructure or tools, integrating into CI/CD pipelines for ongoing security assurance.

Offer recurring AI infrastructure and tool security scans as a service to enterprise clients. Revenue is generated through monthly or annual subscription fees based on scan frequency and asset count.

Provide LLM jailbreak evaluation and comprehensive AI security audits as a standalone service for clients preparing for production deployment. Revenue comes from per-engagement consulting fees.

Package the scanner as a plugin for AI orchestration platforms (e.g., OpenClaw) and charge a licensing fee per deployment or per scan. Revenue includes license sales and optional support contracts.