Assurance-AI is an AI and agentic security assurance platform for repeatable adversarial testing of AI-enabled applications. It supports curated scenarios covering prompt injection, indirect prompt injection, excessive agency, tool and action misuse, jailbreaks, data-exfiltration behaviors, and other AI security risks.

For instrumented targets, Assurance-AI evaluates structured execution evidence to distinguish model responses from security-relevant actions and observable effects. A controlled reference fixture demonstrates MCP-style tool-call testing, vulnerable-versus-hardened policy evaluation, protected-resource and authorization-boundary scenarios, and independent canary and outbox observations.

The platform also supports human-gated guardrail validation and remediation retesting using fresh execution evidence, together with fail-closed CI/CD assurance gates. Supported findings and scenarios can be mapped to established AI security and cybersecurity frameworks.