Mindgard

Mindgard is an agentic AI security platform that helps enterprises secure AI agents, models, and applications by emulating how adversaries probe, manipulate, and exploit AI systems. AI introduces probabilistic, opaque behavior that traditional AppSec and cloud security tools were not designed to address. Security teams often lack visibility into how AI systems can be discovered, coerced, or exploited, creating risk across data exposure, unsafe actions, model behavior, and compliance. The Mindgard AI Security Platform continuously discovers AI risk, maps the AI attack surface, simulates real-world attacks, and helps teams defend AI systems before weaknesses become business-impacting incidents. With Mindgard, organizations can deploy AI with greater confidence, validate security controls, prioritize remediation, and maintain continuous assurance as AI systems and agents evolve.

• Enterprise security and engineering teams building and deploying custom LLM-powered applications and autonomous AI agents in production.
• Blocking prompt injection and jailbreak attacks in real time
• Preventing sensitive data leakage (PII/IP) through LLM interactions
• Automated vulnerability scanning in AI/ML build pipelines
• Enforcing behavioral guardrails and tool-abuse controls on AI agents