Mindgard is the leader in ai red teaming, helping enterprises identify, assess, and mitigate real-world security risks across AI models, agents, and applications. Founded on pioneering research in AI security, Mindgard was built on the insight that traditional application security approaches cannot protect systems that are probabilistic, adaptive, and deeply embedded into business workflows. As organizations deploy GenAI and agentic systems at scale, risk increasingly emerges from how AI behaves, what it connects to, and how attackers can manipulate those interactions. Mindgard addresses this challenge with an attacker-aligned approach that mirrors how real adversaries perform reconnaissance, map attack surfaces, exploit system behavior, and pivot through tools, data, and infrastructure. Rather than testing models in isolation, Mindgard evaluates full AI systems in context to surface vulnerabilities with real security impact. The Mindgard Platform combines automated reconnaissance, continuous AI red teaming, and runtime detection and response into a single workflow. This enables security teams to discover shadow AI, validate guardrails and controls, measure AI risk over time, and actively defend deployed systems against exploitation. Findings are delivered with clear evidence to support remediation, governance, and compliance. By embedding deep research, offensive security expertise, and behavioral analysis into an enterprise-ready platform, Mindgard empowers organizations to deploy AI confidently, reduce risk, and realize the value of AI without exposing the business to unacceptable security threats.