Mindgard Platform deployment and integration
Client integrates the Mindgard Platform with their AI systems to enable automated reconnaissance and continuous, attacker-aligned testing.
Ask about this →ML
Mindgard Limited
Helps enterprises discover, assess and defend AI systems with attacker-aligned, research-led AI security.
Performs research-driven AI security testing and operationalises results into fixes, delivering 10x faster AI security assessments through automated reconnaissance.
- Engagement models
- Retainer, Project, Workshop or training
- Founded
- 2022
- Works in
- North America, United States, Europe, United Kingdom
- Ideal client stage
- Enterprise, Established business
- Ideal client size
- More than 1,000 people, 201 to 1,000 people
Services
What you can hire Mindgard Limited for
AI Red Teaming & Pentesting as a Service
Client commissions attacker-aligned red teams and pentests against models and prompts to expose real-world vulnerabilities.
Ask about this →Run‑Time Model Scanning
Client runs run-time model scanning against deployed models to reduce testing times from months to minutes.
Ask about this →AI Risk & Posture Assessment
Client orders AI risk and posture assessments using fast, automated reconnaissance to identify vulnerabilities across systems.
Ask about this →AI Security Expert subscription
Client subscribes for ongoing expert guidance on discovered vulnerabilities, remediation prioritization, and security strategy.
Ask about this →Technical Account Management (annual subscription)
Client receives an annual technical account manager to coordinate deployments, scans, remediation, and ongoing support.
Ask about this →AI Security Training and workshops
Client hosts training and workshops to upskill teams in attacker-aligned testing, prompt hardening, and remediation practices.
Ask about this →AI governance & compliance enablement
Client aligns governance and compliance controls to assessment findings and continuous testing results to reduce AI risk.
Ask about this →Fit
Is Mindgard Limited right for you?
A good fit if you are
- An enterprise or an established business with More than 1,000 people or 201 to 1,000 people
- In healthcare, financial services, insurance, technology or semiconductors
- Based in North America, the United States, Europe or the United Kingdom
How they engage
- Retainer
- Ongoing work on a recurring basis.
- Project
- A defined scope with one outcome.
- Workshop or training
- Sessions that teach your team a method or a skill.
Proof points
100+ AI vulnerabilities publicly identified
Published 100+ public disclosures of AI vulnerabilities.
Case study on mindgard.ai ↗10x faster AI security assessments
Delivered 10x faster AI security assessments through automated reconnaissance.
Case study on mindgard.ai ↗Revealed OpenAI Sora 2 system prompt (research disclosure)
Demonstrated system-prompt extraction against a multi-modal model.
Case study on mindgard.ai ↗Protecting enterprise AI systems with continuous, attacker‑aligned testing
Reduced AI risk at a large insurance company.
Case study on mindgard.ai ↗Helping a healthcare AI company strengthen security of its AI application
Improved security posture and system prompt hardening for a healthcare AI company.
Case study on mindgard.ai ↗Run‑time model scanning: reduce testing times from months to minutes
Reduced testing times from months to minutes via run-time model scanning.
Case study on mindgard.ai ↗About Mindgard Limited
Attacker-aligned, research-led AI security defines Mindgard's approach to finding and fixing weaknesses in enterprise models and system prompts; buyers hire them to reveal hard-to-find vulnerabilities and shorten testing cycles. Their public research includes 100+ disclosed AI vulnerabilities and a high-profile demonstration extracting the OpenAI Sora 2 system prompt, and case studies show reduced AI risk at a large insurer and improved prompt hardening for a healthcare AI company.
Industries served
All sources checked 2 Oct 2026.
Questions and answers
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