Mindgard Platform

What it does

Mindgard is an AI security platform that tests and defends generative AI systems against adversarial attack. It operates as an autonomous red teamer, running attacker-style reconnaissance and exploitation against the models, agents, guardrails, and AI applications an organization builds or buys. The platform works across the full lifecycle, from discovering shadow AI and mapping the attack surface to validating exploitability and applying runtime protection, rather than scanning models in isolation.

How it works

Automated red teaming continuously maps, plans, and executes multi-step agentic attack workflows, emulating real adversary behavior across one-shot and multi-step interactions rather than single prompts. It evaluates complete AI systems, examining how agents, tools, connected services, and data sources interact, and surfaces high-impact vulnerabilities with attacker context and remediation guidance. Continuous assessment re-tests systems as models and configurations change. At runtime, context-driven guardrails harden system prompts and block prompt injection and agentic manipulation, with findings mapped to the MITRE ATLAS and OWASP LLM Top 10 frameworks.

Credentials and traction

Mindgard reports SOC 2 Type II compliance, indicated by an AICPA SOC 2 Type 2 badge on its site. Gartner named it a representative vendor for AI Security Testing in the 2025 Hype Cycle for Application Security. At the 2025 Cybersecurity Excellence Awards it won both Best Cybersecurity Startup and Best AI Security Solution. Its team has published more than 100 vulnerability disclosures across major AI and technology systems, anchoring its standing in the emerging AI red teaming market.