Mindgard combines world-class research, hacker creativity, and intelligence from 150+ public vulnerability disclosures to continuously strengthen how the platform 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.
Discover agents & shadow AI
Design targeted attack paths
Find & fix AI system vulnerabilities
AI Threat Detection & Response
Mindgard operates as an autonomous red teamer, 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 agents 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.
Identify AI models, agents, MCP/A2A servers, connected tools, and shadow AI within your products.
Reveal the AI system attack surface and risk exposure through automated recon and behavioral analysis.
Agentic red teaming uncovers 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 helps organizations discover, assess and defend their AI systems. Spun out of more than a decade of AI security research at Lancaster University in the UK and headquartered in Boston and London, Mindgard operationalizes the expertise of AI researchers and offensive security practitioners through a Security Platform that performs Shadow AI discovery, AI red teaming, and run-time AI protection to assess and mitigate risk across models, agents, and applications.
