Mindgard – AI Security Platform

Mindgard’s AI Security Platform combines academic research and offensive security expertise to help enterprises discover, assess, and defend AI systems. The platform operates as an autonomous red teamer that continuously maps, plans, and executes agentic attack workflows to reveal exploitable vulnerabilities across models, agents, tools, APIs, and connected data sources. Mindgard automates recon and intelligence gathering to identify instructions, tools, and shadow AI behaviors that increase attack surface exposure, then leverages those findings to design targeted attack chains and run adversarial evaluations. The platform supports continuous risk mapping and assessment, validation of defenses, and runtime threat detection and response that applies context-driven guardrails and hardens system prompts. Reports and remediation guidance integrate into existing development and security workflows, providing clear visibility for engineering, security teams, and auditors. Spun out of university research and compliant with enterprise expectations, Mindgard focuses on high-impact exploit discovery and prioritized remediation to reduce real-world AI risk across development and production environments.