Mindgard is the leader in ai red teaming, helping enterprises identify, assess, and mitigate real-world security risks across AI models, agents, and applications. Founded on pioneering research in AI security, Mindgard was built on the insight that traditional application security approaches cannot protect systems that are probabilistic, adaptive, and deeply embedded into business workflows.
As organizations deploy GenAI and agentic systems at scale, risk increasingly emerges from how AI behaves, what it connects to, and how attackers can manipulate those interactions. Mindgard addresses this challenge with an attacker-aligned approach that mirrors how real adversaries perform reconnaissance, map attack surfaces, exploit system behavior, and pivot through tools, data, and infrastructure. Rather than testing models in isolation, Mindgard evaluates full AI systems in context to surface vulnerabilities with real security impact.
The Mindgard Platform combines automated reconnaissance, continuous AI red teaming, and runtime detection and response into a single workflow. This enables security teams to discover shadow AI, validate guardrails and controls, measure AI risk over time, and actively defend deployed systems against exploitation. Findings are delivered with clear evidence to support remediation, governance, and compliance.
By embedding deep research, offensive security expertise, and behavioral analysis into an enterprise-ready platform, Mindgard empowers organizations to deploy AI confidently, reduce risk, and realize the value of AI without exposing the business to unacceptable security threats.
As organizations deploy GenAI and agentic systems at scale, risk increasingly emerges from how AI behaves, what it connects to, and how attackers can manipulate those interactions. Mindgard addresses this challenge with an attacker-aligned approach that mirrors how real adversaries perform reconnaissance, map attack surfaces, exploit system behavior, and pivot through tools, data, and infrastructure. Rather than testing models in isolation, Mindgard evaluates full AI systems in context to surface vulnerabilities with real security impact.
The Mindgard Platform combines automated reconnaissance, continuous AI red teaming, and runtime detection and response into a single workflow. This enables security teams to discover shadow AI, validate guardrails and controls, measure AI risk over time, and actively defend deployed systems against exploitation. Findings are delivered with clear evidence to support remediation, governance, and compliance.
By embedding deep research, offensive security expertise, and behavioral analysis into an enterprise-ready platform, Mindgard empowers organizations to deploy AI confidently, reduce risk, and realize the value of AI without exposing the business to unacceptable security threats.
Location: United Kingdom, England, London
Employees: 11-50
Total raised: $8M
Founded date: 2022
Investors 1
| Date | Name | Website |
| - | IQ Capital... | iqcapital.... |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 23.12.2024 | Pre-Seed | $8M | - |
Mentions in press and media 14
| Date | Title | Description |
| 20.01.2026 | Тёмная сторона искусственного интеллекта: угрозы, реальные атаки и защита | Искусственный интеллект уже давно перестал быть исключительно инструментом добра. Он помогает врачам ставить диагнозы и разработчикам писать код. Но теми же самыми возможностями всё чаще пользуются злоумышленники. При этом барьер входа в ки... |
| 23.07.2025 | Mindgard Expands Leadership with Offensive Security Expert Aaron Portnoy and GTM Veteran Tom Axbey | Mindgard logo Aaron Portnoy joins as Head of Research & Innovation, bringing 20+ years of offensive security leadership across startups and global tech. Tom Axbey joins Mindgard's Board, adding decades of enterprise SaaS and GTM experti... |
| 19.06.2025 | Shadow AI pervasive, including in cybersecurity teams, Mindgard survey warns | Mindgard logo Shadow AI is now widespread within organisations, with its use often going unmonitored. AI adoption is accelerating faster than security teams can keep up, leading to sensitive data being exposed—and in many cases, there's no ... |
| 27.01.2025 | Is AI Security the Next Frontier in Tech? How one startup is tackling the hidden risks of artificial intelligence | As AI systems become more powerful, so do the threats they pose - from data breaches to manipulation. Peter Garraghan, co-founder of Mindgard, a London based 'security for AI' startup is on a mission to safeguard organisations from these ev... |
| 23.12.2024 | Mindgard secures $8M to tackle emerging AI security risks | Security AI startup Mindgard, has raised $8 million funding and appointed a new Head of Product and VP of Marketing. Many AI products are being launched without adequate security assurances, leaving organisations vulnerable to risks such as... |
| 21.12.2024 | Mindgard Secures $8 Million to Fortify AI Security Landscape | In a world where artificial intelligence is both a boon and a bane, Mindgard has emerged as a beacon of hope. The London-based company recently secured $8 million in funding, a move that promises to reshape the AI security landscape. This f... |
| 20.12.2024 | Mindgard Raises $8M in Funding | Mindgard, a London, UK-based company which specializes in securing AI, raised $8M in funding. The round was led by .406 Ventures with participation from Atlantic Bridge, Willowtree Investments and existing investors IQ Capital and Lakestar.... |
| 20.12.2024 | Британский стартап Mindgard: щит от AI-рисков для бизнеса | Искусственный интеллект создает дилемму для компаний: если его не внедрять, можно упустить шанс на повышение эффективности и другие преимущества; но неправильное внедренный AI может создать значительные риски для бизнеса и клиентов. Здесь н... |
| 23.10.2024 | University spinout numbers on the up after universities “drop” stakes | University spinout numbers are on the increase, prompted by universities lowering their stakes in startups, according to the co-founder of a deeptech startup spun out of a UK university. Many in the startup ecoysysem argue that universities... |
| 20.08.2024 | AI's rapid development is a security disaster waiting to happen | No matter how you look at it, AI is currently booming. The AI market is on track to reach $407 billion by 2027 (compared to $86.9 billion in 2024). Last year, ChatGPT became the fastest-growing consumer application in history when it reache... |
Show more