Systematically gather intelligence about your AI systems and agents to enable targeted AI red teaming, risk assessments and shadow AI discovery.
Systematically gather intelligence about the deployed AI system to enable targeted AI red teaming, risk assessments and shadow AI discovery.
Discover how attackers perceive your AI by identifying behaviors, capabilities, and connected infrastructure, including guardrails and data sources. Establish attacker-level visibility into your AI environment to surface exposure early and guide effective security testing.
Build a complete understanding of your AI systems by uncovering how models behave, what they connect to, and where weaknesses emerge, including extracting and analyzing system prompts to expose the hidden logic attackers target and exploit.
Generate AI inventory risk reports that map every component of your AI infrastructure, enumerate every tool call, and identify shadow AI. Centralize findings to reveal attack surface, benchmark AI risk posture, and support governance, compliance and executive reporting.
Whether you're just getting started with AI Security Testing or looking to deepen your expertise, our engaging content is here to support you every step of the way.
Mindgard, the leading provider of AI security solutions, helps enterprises discover, assess, and defend their AI systems. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard combines AI red teaming with offensive security expertise and AI research to identify exploitable vulnerabilities in AI models, agents, and applications before attackers do.
