Mindgard merges hacker creativity with world-class research to deliver enterprise-grade AI security that identifies and stops exploitable AI vulnerabilities.
AI systems don’t exist in isolation. Models and agents are embedded into applications, connected to tools, APIs, and data sources. These integrations expand the attack surface and introduce opaque behavior that is difficult to control, creating new pathways for exploitation and high-impact risk across enterprise systems.
Enumerate the AI attack surface
Design targeted attack paths
Find & fix AI system vulnerabilities
AI Threat Detection & Response
Mindgard mirrors how attackers operate, continuously mapping, planning, and executing complex, agentic attack workflows to reveal and reduce real-world AI risk.
Automate recon & intelligence gathering on AI systems before adversarial testing. Discover instructions, tools, and behaviors attackers can exploit.
Evaluate AI models for reliability and security and safety weaknesses.
With a single click, Mindgard’s agentic platform red teams AI systems, agents, and infrastructure, emulating real attacker behavior to uncover high-impact vulnerabilities.
Leverage recon findings to craft attack chains and conduct agentic red teaming.
Continuously map and assess AI risk, validate defenses, and execute AI red teaming at scale, providing clear visibility into vulnerabilities and confidence when reporting to stakeholders and auditors.
Runtime detection and response applies context-driven guardrails, hardens system prompts, and delivers remediation guidance to protect AI systems.
Reveal the AI system attack surface and risk exposure through automated recon and behavioral analysis.
Identify AI models, agents, MCP/A2A servers, connected tools, and shadow AI within your products.
Uncover exploitable vulnerabilities and prioritize high-impact risks.
Detect malicious activity in production and automatically respond to AI attacks.
Empower your engineering team to review reports and take action with ease.
Security teams use Mindgard to discover and remediate high impact risk. The platform integrates directly into development and security workflows so organizations can secure AI systems and agents throughout their lifecycle.
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.
