Vulcan AI Red Teaming

Vulcan AI Red Teaming is a service that assesses the security and safety of agentic AI and foundation model deployments through expert-led adversarial testing. The service begins with discovery and threat modeling of the client's AI architecture, use cases, data access patterns, tool integrations, and compliance requirements to identify relevant attack vectors. Testing scope, severity levels, and acceptance criteria are defined collaboratively before testing. Vulcan's red team specialists then generate and execute test cases using the Vulcan Attack engine's technique library, which contains over 100 attack techniques covering failure modes such as data exfiltration and unsafe content generation. Application responses are evaluated with expert oversight and reported using quantitative metrics such as Attack Success Rate (ASR), severity classifications, and remediation recommendations. A findings debrief session is held with the client team to review results and attack patterns, and optional validation and re-testing can be performed after remediation to confirm fixes and check for newly introduced weaknesses. The service is positioned to support independent validation for regulatory and audit requirements aligned with AI risk, safety, and compliance frameworks, and is delivered without requiring product commitments or complex integrations from the client.