Mindgard vs Protect AI

See why AI and security teams choose Mindgard for attack‑driven testing, visibility across models and agents, and enterprise‑grade controls.

Why Teams Choose Mindgard Over Protect AI

Attack‑Driven Security, Built for AI

Continuously red‑team models, agents, and apps across the AI lifecycle. Map the AI attack surface, reproduce behaviors, and validate fixes with measurable risk scores.

Enterprise-Grade Workflows

Granular permissions, policy‑based controls, audit trails, and CI/CD + IDE + Burp Suite flexibility so security engineers and builders can collaborate.

Research to Product Pipeline

PhD‑led AI security research fuels new attack methods and detections—keeping pace with jailbreaks, data exfiltration, prompt injection, and agentic abuse.

The Breakdown: Mindgard vs Protect AI

Side‑by‑side comparison of capabilities. Some other subtext here.

Feature

Winner

AI Risk Discovery

- Scan to discover models, agents, apps
- Shadow AI visibility
- Asset inventory with owners

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Mindgard

Attack-Driven Testing

Model & agent jailbreaks, data exfiltration, prompt injectionMulti‑turn adversarial chainsReproduce & re‑test fixes

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Mindgard

Runtime Detection & Policy

Policy engine for LLM/agent trafficInline detections (PII, prompt injection, tool abuse)Block / alert / enrich options

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Mindgard

Enterprise Controls

Granular permissionsAudit trailsSAML/SSO, SCIM, RBAC

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Mindgard

Integrations

CI/CD, IDE hooksBurp SuiteSIEM, ticketing

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= On Par

Deployment Options

SaaSPrivate cloudCustomer‑managed

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Mindgard

Reporting & Scorecards

Risk metrics & trendsSchedulerExecutive summaries

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Mindgard

Support & Partnership

Dedicated success teamResearch‑backed guidance

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Mindgard

Data Handling & Privacy

Bring‑your‑own keysScoped secretsCustomer data isolation

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= On Par

Pricing Model

Contact sales for tailored pricing

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= On Par

See Mindgard in Action

Powered by the world's most effective attack library for AI, Mindgard enables red teams, security and developers to swiftly identify and remediate AI security vulnerabilities.

What Real Users Say

Don’t just take our word for it, see how offensive security teams rate the experience across platforms.

“I've seen what you guys managed to get and it is indeed very worrying (in particular the user data access and api keys)”

CEO at AI software company

“With Mindgard, we’ve been able to significantly reduce the time spent on AI security assessments while enhancing the quality of our deliverables.”

Red teamer at F500 bank

"It keeps hanging. It needs to be monitored and can be insecure. Does not meet the company needs. I have found other platforms that deliver much better"

G2 Review

Features Loved by Offensive Security and Red Teams

Burp Suite

Extend offensive testing into familiar workflows. Mindgard’s native Burp Suite integration lets red teams chain AI-specific attacks, validate exploits, and report findings directly within their existing toolset.

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Remediation

Turn findings into fixes with guided remediation workflows. Automatically reproduce vulnerabilities, validate patches, and document risk reduction for auditors and leadership

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Multi-Modal Support

Test beyond text with coverage for vision, audio, and multi-modal models to uncover cross-channel vulnerabilities that attackers can exploit.

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Integrations

Plug into CI/CD pipelines, IDEs, SIEM, and ticketing systems to bring AI risk visibility and testing automation into every stage of development and security operations.

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Attack Library

The world’s most effective library of jailbreaks, data exfiltration methods, and prompt injection chains—curated from ongoing research and field testing to mirror the latest real-world threats.

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Standards Mapping

Align findings to emerging frameworks like OWASP Top 10 and MITRE ATLAS, translating technical vulnerabilities into compliance-ready evidence.

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FAQs

View and learn more about Mindgard's features, data handling capabilities, or integration options.

What makes Mindgard stand out from other AI security companies?
Founded in a leading UK university lab, Mindgard boasts over 10 years of rigorous research in AI security, with public and private partnerships that ensure access to the latest advancements and the most qualified talent in the field.
Can Mindgard handle different kinds of AI models?
Yes, Mindgard is neural network agnostic and supports a wide range of AI models, including Generative AI, LLMs, Natural Language Processing (NLP), audio, image, and multi-modal systems. This versatility allows it to address security concerns across various AI applications.
How does Mindgard ensure data security and privacy?
Mindgard follows industry best practices for secure software development and operation, including use of our own platform for testing AI components. We are GDPR compliant and expect ISO 27001 certification in early 2026.
Can Mindgard work with the LLMs I use today?
Absolutely. Mindgard is designed to secure AI, Generative AI, and LLMs, including popular models like ChatGPT. It enables continuous testing and minimisation of security threats to your AI models and applications, ensuring they operate securely.
What types of organisations use Mindgard?
Mindgard serves a diverse range of organisations, including those in financial services, healthcare, manufacturing, and cybersecurity. Any enterprise deploying AI technologies can benefit from Mindgard's platform to secure their AI assets and mitigate potential risks.
Learn how Mindgard can help you navigate AI Security

Take the first step towards securing your AI. Book a demo now and we'll reach out to you.