Mindgard
- Company typePrivate
- Founded2022
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Mindgard firmographics
Firmographics- Name
- Mindgard
- Legal name
- Mindgard Ltd
- Website
- https://mindgard.ai
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Mindgard industry classification
Industry- Product category
- AI Security Software
- NAICS
- Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Model Security Testing & Red Teaming (adversarial ML, jailbreaks) (HDAAAKAC)
- akta.pro secondary industries
- Safety & Alignment Evaluation (red-teaming, harmful capability testing) (HDAAAMAL), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
Keywords
Where Mindgard is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Mindgard business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- Platform Subscription: Mindgard offers its AI security platform as a SaaS solution where customers connect their existing AI models and applications to run automated attack simulations. The platform is available through subscription with demo booking for enterprise evaluation.
- Professional Services: Mindgard offers AI Red Teaming & Pentesting as a Service, Technical Account Management, AI Security Expert subscription, and AI Security Training as professional services. These complement the platform with expert-led guidance and hands-on security testing.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise platform subscription with customizable modules |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels9 records
Mindgard product offering
Product offeringCore offering
Mindgard provides an AI security platform that conducts automated, attacker-aligned red teaming and vulnerability detection across the full AI security lifecycle (discover, assess, defend). The platform discovers shadow AI, maps AI attack surfaces, runs continuous adversarial testing against models and agents, and delivers runtime threat detection and compliance reporting. It is offered to enterprises via annual subscription and is complemented by professional services including AI red teaming as a service, technical account management, and AI security training.
Product overview
Mindgard offers a unified AI security platform with multiple integrated modules for discovering, assessing, and defending AI systems against cyber threats. The core platform is complemented by specialized modules including AI Discovery & Recon for attack surface mapping, AI Red Teaming for continuous automated security testing, AI Assessment for vulnerability finding, AI Runtime Protection (Defend) for real-time monitoring and response, Offensive Security testing capabilities, Model Scanning for artifact and runtime model security, and AI Governance & Compliance for framework alignment. The platform also includes AI Academy for training and offers professional services including AI Red Teaming as a Service, Technical Account Management, AI Security Expert subscription, and AI Security Training. Mindgard also developed GuardBuster for testing AI guardrail effectiveness.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Security Platform The unified AI security platform that combines AI discovery, adversarial testing, and runtime protection into one continuous workflow. It is sold to enterprises that need to discover, assess, and defend AI systems and agents against evolving attacks.
- AI Discovery & Recon Intelligence gathering module that discovers shadow AI, maps the AI attack surface, and reveals how attackers perceive the AI environment, including agent fingerprinting and behavioral analysis. Sold to enterprise security teams and AI platform owners.
- AI Red Teaming Continuous automated red teaming that emulates real adversary workflows (reconnaissance, exploitation planning, execution) to reveal how attackers misuse AI systems. Used by enterprise security teams to test AI agents and applications against evolving attacks.
- AI Assessment Vulnerability assessment module that tests AI systems against advanced attack libraries to find and fix security and safety vulnerabilities with clear evidence and remediation guidance. Targeted at security and risk teams that need audit-ready AI security findings.
- AI Runtime Protection (Defend) Runtime detection and response layer that monitors AI systems in real time, applies context-driven guardrails, hardens system prompts, and delivers automated remediation guidance. Sold to enterprises operating AI agents and applications in production.
- Model Scanning Run-time model scanning that identifies security vulnerabilities and safety risks in AI models, including offline profiling and dynamic testing for vulnerabilities only detectable during operation. Targets AI developers and security teams.
- AI Governance & Compliance Governance module that maps AI security findings to MITRE, NIST, OWASP, AIUC-1 and other frameworks to support audits, regulatory readiness, and executive reporting. Sold to compliance and risk teams in regulated enterprises.
- GuardBuster Standalone tool that measures how AI guardrails perform in real-world environments by testing the effectiveness of AI safety filters and guardrails against adversarial attacks. Targeted at enterprises deploying AI safety controls.
- AI Academy Training hub providing hands-on experience in offensive AI techniques, with guided labs for prompt injection, jailbreak, evasion, and extraction attacks, plus red team training programs. Sold to security practitioners and enterprise security teams.
- AI Red Teaming & Pentesting as a Service Expert-led red teaming service combining deep expertise in cybersecurity, AI security, and threat research to complement the automated platform. Sold to enterprises that need hands-on security testing.
- Technical Account Management Dedicated technical account manager service providing expert guidance, operational assurance, and automation support for enterprise customers to maximize platform value.
- AI Security Expert Subscription service providing access to an offensive security specialist who helps elevate the quality and reliability of AI security testing, including posture assessments and tooling enhancement.
- AI Security Training Expert-led instruction in AI security fundamentals, adversarial techniques, and secure AI practices for practitioners to recognize risks and strengthen defenses.
Quantifiable outcome
- 10x faster AI security assessments
- +2 more outcomes
Companies that use Mindgard
Customer profileNamed customers5 records
Segments4 records
Ideal customer profiles3 records
Mindgard technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability11 records
Feature10 records
Mindgard partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core, ecosystem and framework.
- Lancaster UniversitycoreMindgard was spun out from over a decade of AI security research at Lancaster University. Professor Peter Garraghan, an EPSRC Fellow specializing in AI and ML security, serves as Chief Science Officer and Founder. The company maintains deep ties to university AI security laboratories.
- OpenAIecosystemMindgard platform integrates with and tests OpenAI systems. The company has published multiple vulnerability disclosures for OpenAI products including ChatGPT and Codex CLI.
- AnthropicecosystemMindgard platform integrates with Anthropic Claude systems and has published vulnerability disclosures for Claude Code.
- GoogleecosystemMindgard platform integrates with Google AI systems. Published significant vulnerability disclosures for Google Antigravity IDE and Gemini CLI.
- AWSecosystemMindgard integrates with AWS AI platforms and services for comprehensive AI security coverage.
- Burp SuiteecosystemMindgard offers a Burp Suite extension for AI security testing, enabling security teams to integrate automated AI testing into existing penetration testing workflows.
- SIEM PlatformsecosystemMindgard integrates with SIEM platforms to stream security findings, enabling security teams to act within existing security operations workflows.
- GitHubecosystemMindgard provides CI/CD integration through GitHub Actions, enabling automated AI security testing as part of the development pipeline.
- MITRE ATLASframeworkMindgard maps security findings to MITRE ATLAS framework for standardized AI threat reporting and compliance documentation.
- OWASPframeworkMindgard maps security findings to OWASP LLM Top 10 for standardized vulnerability classification and reporting.
Scale indicators7 records
Recent moves7 records
Expansion highlights6 records
Mindgard competitors and assessment
Company assessmentDirect peers
- HiddenLayer: HiddenLayer provides AI security solutions including model scanning, adversarial attack simulation, and runtime protection. It directly overlaps with Mindgard's red teaming, model scanning, and runtime defense capabilities for enterprise AI systems.
- Protect AI: Protect AI offers an AI security platform covering model scanning, red teaming, and supply chain security for ML systems. It competes head-to-head with Mindgard in continuous AI risk assessment and vulnerability discovery across the ML lifecycle.
- CalypsoAI: CalypsoAI provides AI security testing and runtime guardrails for generative AI and LLM applications. It competes with Mindgard in adversarial testing, model security validation, and enterprise guardrail deployment.
- Adversa AI: Adversa AI specializes in adversarial AI testing and red teaming of generative AI systems. It is a direct competitor offering AI security assessments, vulnerability research, and adversarial robustness evaluation.
Emerging players
- Dreadnode: Dreadnode provides AI/ML security testing and adversarial machine learning tooling. It focuses on offensive AI tooling and aligns with Mindgard's research-led red teaming approach, though with a more developer/researcher user base.
- Lakera: Lakera focuses on LLM application security with prompt injection and guardrail products (Gandalf). It is an emerging player addressing the same enterprise customers as Mindgard but with a narrower focus on input/output filtering for LLMs.
- PromptArmor: PromptArmor is an emerging AI security firm focused on prompt injection defense and LLM application protection. It overlaps with Mindgard's runtime Defend capabilities for protecting deployed AI agents and applications.
Broad incumbents
- Cisco AI Defense: Cisco acquired Robust Intelligence to form Cisco AI Defense, providing AI application security, model validation, and guardrails at scale. As a broad incumbent, Cisco bundles AI security into its broader enterprise security portfolio, competing with Mindgard for enterprise AI security budgets.
- Microsoft AI Red Team: Microsoft operates an internal AI Red Team focused on probing Azure OpenAI, Copilot, and other Microsoft AI products for vulnerabilities. While primarily internal, Microsoft publishes frameworks (e.g., PyRIT) that overlap with Mindgard's red teaming capabilities and shape enterprise buyer expectations.
Others
- WithSecure (formerly F-Secure): WithSecure is an established European cybersecurity vendor extending into AI security services. It is an adjacent incumbent serving European enterprises (similar to Mindgard's UK footprint) with broader security offerings that include emerging AI security capabilities.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights6 records
Customer concentration
Mindgard social profiles
Digital presenceMindgard compliance and trust
Trust signalCompliance1 record
Mindgard financial estimates
Financial estimateRevenue estimate
Valuation estimate
Mindgard leadership team
Management profileNumber of profiles
Profiles6 records
Mindgard funding detail
Funding detailFunding overview
Funding rounds3 records
Investors9 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Mindgard M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Mindgard
What does Mindgard do?
Mindgard provides an AI security platform that conducts automated, attacker-aligned red teaming and vulnerability detection across the full AI security lifecycle (discover, assess, defend). The platform discovers shadow AI, maps AI attack surfaces, runs continuous adversarial testing against models and agents, and delivers runtime threat detection and compliance reporting. It is offered to enterprises via annual subscription and is complemented by professional services including AI red teaming as a service, technical account management, and AI security training.
Is Mindgard a public or private company?
Mindgard is a private company. It is classified as venture growth investor backed and is currently operating.
When was Mindgard founded?
Mindgard was founded in 2022. It employs 11 to 50 people.
Where is Mindgard based?
Mindgard is headquartered in London, United Kingdom, in the Europe region.
How does Mindgard make money?
Two revenue lines are on record. Platform Subscription is the primary driver. The others are professional Services.
Who are Mindgard's main competitors?
Direct peers on record are HiddenLayer, Protect AI, CalypsoAI and Adversa AI. Emerging players are Dreadnode, Lakera and PromptArmor. Broad incumbents are Cisco AI Defense and Microsoft AI Red Team. WithSecure (formerly F-Secure) is listed as an others.
Does Mindgard have an API?
Yes. Mindgard provides API documentation accessible at docs.mindgard.ai. The platform supports MCP (Model Context Protocol) servers as indicated by vulnerability disclosures for MCP configuration vulnerabilities in products like Zed IDE, Eclipse Theia IDE, Claude Code, and others. Developer documentation is at docs.mindgard.ai.
What industry is Mindgard in?
Mindgard's product category is AI Security Software. Its primary akta.pro industry code is HDAAAKAC, Model Security Testing & Red Teaming (adversarial ML, jailbreaks), with a secondary code of HDAAAMAL, Safety & Alignment Evaluation (red-teaming, harmful capability testing). Its NAICS code is 541512 and its SIC code is 7372.