AI discovery and inventory
Discovers agents and shadow AI, crawls AI infrastructure, and produces an AI bill of materials to expose systems that need security assessment.
Mindgard
Freemium
AI security and automated red teaming for enterprise models, agents, and applications.
What is Mindgard?
Mindgard is an AI security platform for organizations deploying models, agents, and AI applications. It maps the AI attack surface, runs adversarial assessments, and helps teams address exploitable weaknesses across connected tools, APIs, data, and infrastructure.
Its workflow spans discovery, reconnaissance, attack testing, and defense. The platform uses attacker-style investigation and vulnerability intelligence to target security gaps, provide evidence of their impact, and support ongoing verification as AI systems change.
What can Mindgard do?
Agent reconnaissance
Maps models, tools, instructions, and behaviors before testing. Agent profiling helps identify attack paths and weaknesses in guardrails.
Automated adversarial testing
Plans and executes agentic attack workflows and adaptive attack chains to test AI systems, agents, and infrastructure for exploitable vulnerabilities.
Remediation and retesting
Explains vulnerability impact and provides supporting evidence and remediation guidance. Teams can retest fixes and verify whether defenses remain effective.
Runtime defense
Provides runtime AI protection and response, automated agent hardening, and defense auditing to help mitigate identified risks.
Risk and governance reporting
Produces AI risk compliance reports, executive reporting, and evidence for governance, risk, and compliance workflows.
Use Cases
“Review an AI product before release”
Development and security teams can assess an upcoming chatbot or AI application before deployment, using findings to resolve weaknesses during the release process.
“Investigate data exfiltration risks”
Assess how an AI system's access to data, tools, and APIs could create paths for attackers to extract information.
“Assess autonomous agent behavior”
Evaluate agent reliability, security, and safety weaknesses in workflows where agents use tools or act with delegated permissions.
“Verify defenses after changes”
Repeat assessments as models, instructions, and connected systems evolve, checking whether previously effective controls still withstand adversarial testing.
Frequently Asked Questions
How does Mindgard fit into existing security workflows?
Mindgard supports APIs, CI/CD pipelines, Burp Suite, and a single-click assessment workflow. Teams can incorporate testing into development processes and continue assessments in production.
Which kinds of AI systems can it assess?
The platform covers AI chatbots, applications, agents, infrastructure, and agentic workflows. Its stated scope includes open-source models and managed AI platforms.
Does it require an in-house AI security specialist?
Mindgard is designed to provide actionable security findings without requiring specialist AI security expertise in-house. It combines automated assessments with risk prioritization and remediation guidance.
How does it work with existing guardrails?
Mindgard tests guardrails through adaptive attacks to identify where controls hold or fail. Assessments also examine tools, permissions, APIs, data, and infrastructure beyond prompts and responses.
Quick Facts
- Category
- AI security and automated red teaming
- Primary users
- Enterprise security, engineering, and development teams
- Research origins
- AI security research at Lancaster University
- Product access
- Demo booking available
- Website
- https://mindgard.ai
Mindgard Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 62
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