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mindgard.ai
Mindgard is a leading AI security company helping enterprises discover, assess, and defend their AI systems with attacker-aligned, research-led defense across the AI lifecycle.
Mindgard Limited is an AI security company formed from more than a decade of AI security research at Lancaster University. It focuses on securing AI systems across the lifecycle by providing visibility into AI risk, assessments, and defenses against AI-specific threats. The organization serves enterprises that deploy AI, combining offensive security expertise with ongoing AI research to identify exploitable vulnerabilities in AI models and agents before attackers can exploit them. Mindgard emphasizes attacker-aligned security and responsible disclosure, offering capabilities such as AI threat discovery, adversarial testing, real-time threat detection, and governance and compliance, supported by education and professional services. It aims to advance a secure AI ecosystem through a research-led, collaborative approach.
Mission statement
Secure the World's AI.
Products & Services
Mindgard Platform Platform
Comprehensive AI security solution ensuring robust protection against evolving threats.
mindgard.ai/ai-security-platform- ✓ AI Assessment — Identify Security Weaknesses
- ✓ AI Red-Teaming — Simulate Real-World Attacks
- ✓ AI Runtime Protection — Real-Time Defense
- ✓ Offensive Security — Proactive Threat Identification
- ✓ Attacker-aligned Red Teaming — Reveal Vulnerabilities
- ✓ AI Risk & Posture Assessment — Identify Areas of Exposure
- ✓ AI Discovery and Reconnaissance — Map AI Risks
- ✓ Model Scanning — Scan for Vulnerabilities
- ✓ CI/CD and Tool Integration — Automate Security Checks
- ✓ Offensive AI Skills Development — Build Practical Skills
- ✓ Governance & Compliance — Ensure Compliance
- ✓ Risk Collection & Analysis — Understand Threat Landscape
- ✓ Operational Assurance — Guarantee Testing Integrity
- ✓ Operational Guidance — Align Security Efforts
- ✓ AI Academy — Enhance Security Knowledge
- ✓ Use Cases — Demonstrate Effectiveness
- ✓ Onboarding and Deployment — Streamline Integration
AI Security Training Service
Enhance your team's expertise in AI security through practical training on fundamental concepts and adversarial techniques.
mindgard.ai/services/ai-security-training- ✓ Adversarial Techniques — Test And Strengthen Defenses
- ✓ AI Security Fundamentals — Build Security Foundations
- ✓ Secure AI Practices — Implement Secure Development
- ✓ Hands-On Workshops — Practice Real-World Security
- ✓ Operational Readiness — Enhance Operational Readiness
Technical Account Management Service
Enhance your Mindgard experience with expert guidance and operational support.
mindgard.ai/services/technical-account-manager- ✓ Operational Assurance — Guarantees Reliable Testing
- ✓ Onboarding & Deployment — Facilitates Efficient Integration
- ✓ Strategic Guidance — Aligns With Security Objectives
- ✓ Tooling and Automation Enablement — Enhances Workflow Efficiency
Market Segments
AI governance and model risk management
Capabilities to inventory AI systems, maintain an AI risk register, assess model risks, and enforce governance controls for responsible AI and regulatory expectations.
Adversarial testing and threat modeling
Offensive testing, red-team assessments, and threat modeling applied to applications and AI/ML systems to identify vulnerabilities, attack vectors, and remediation guidance.
Runtime protection and monitoring
Real-time detection of threats and anomalous behavior in production environments, including runtime anomaly monitoring and automated response to active attacks.
AI asset discovery and attack surface management
Discovery and reconnaissance of shadow AI and distributed AI assets to map the AI attack surface and prioritize exposure reduction.
AI security training and workforce development
Instructor-led education and hands-on workshops to build offensive and defensive AI security skills, operational readiness, and secure development practices.
Related Organizations
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Coalfire is a leading independent cybersecurity and risk-management company that helps organizations navigate governance, risk, and compliance across multiple frameworks.
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Common Questions
- What does Mindgard Limited do?
- Mindgard Limited is an AI security company formed from more than a decade of AI security research at Lancaster University. It focuses on securing AI systems across the lifecycle by providing visibility into AI risk, assessments, and defenses against AI-specific threats. The organization serves enterprises that deploy AI, combining offensive security expertise with ongoing AI research to identify exploitable vulnerabilities in AI models and agents before attackers can exploit them. Mindgard emphasizes attacker-aligned security and responsible disclosure, offering capabilities such as AI threat discovery, adversarial testing, real-time threat detection, and governance and compliance, supported by education and professional services. It aims to advance a secure AI ecosystem through a research-led, collaborative approach.
- What is Mindgard Limited's role in the AI governance and model risk management market?
- Capabilities to inventory AI systems, maintain an AI risk register, assess model risks, and enforce governance controls for responsible AI and regulatory expectations.
- What is Mindgard Limited's role in the Adversarial testing and threat modeling market?
- Offensive testing, red-team assessments, and threat modeling applied to applications and AI/ML systems to identify vulnerabilities, attack vectors, and remediation guidance.
- How was the AI governance and model risk management market size estimate for Mindgard Limited calculated?
- Estimate based on multiple specialized market reports for AI model risk management: three independent vendors report a 2024–2025 market base around USD 5.7–5.87 billion and CAGRs in the ~12.5–12.9% range. I used the MarketsandMarkets 2024 model-risk-management estimate (USD 5.7B; 12.9% CAGR) corroborated by Polaris and SNS Insider figures showing similar base sizes and ~12.5–12.8% growth forecasts.
- How was the Adversarial testing and threat modeling market size estimate for Mindgard Limited calculated?
- Estimate anchored to recent market reports in the search results. Credence Research values the threat-modeling tools market at USD 1,049.6M (2024) with a 13.84% CAGR; MarketsandMarkets gives a similar multi-year trajectory (USD 0.8B in 2022 to USD 1.6B by 2027, ~14.9% CAGR). One outlier (MarketResearchFuture) reports a much larger scope ($12.55B in 2024, CAGR 16.57%)—likely a broader definition. I adopt the near-term consensus (~USD 1.05B) and ~14% CAGR as the best-supported estimate for this segment.
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