Mindgard.ai: Secure Your AI Systems with Continuous Offensive Testing

Mindgard.ai is a cutting-edge, award-winning AI security testing platform that delivers automated red teaming and offensive security assessments to identify and mitigate AI-specific risks across the entire software development lifecycle. Built on over a decade of research from the AI Security Lab at Lancaster University, Mindgard offers a comprehensive solution for securing Generative AI, LLMs, NLP, image, audio, and multi-modal systems—whether internally developed or third-party. Designed for enterprise and business teams, it integrates seamlessly into CI/CD pipelines and SIEM systems, enabling real-time detection of threats like prompt injection, jailbreaking, model inversion, and data poisoning. With the largest AI/GenAI attack library powered by PhD-led R&D, Mindgard transforms AI security into an actionable, auditable, and scalable process.

Key Features:

• Automated AI Red Teaming: Simulates real-world adversarial attacks to uncover hidden vulnerabilities.
• Continuous Security Testing: Provides ongoing protection across all stages of the AI SDLC.
• Run-Time Artifact Scanning: Detects dynamic threats such as prompt injection and evasion in live environments.
• Offline AI Risk Profiling: Assesses model risks using advanced analytics and threat intelligence.
• Extensive Attack Library: Covers thousands of unique AI attack scenarios, including jailbreaking, poisoning, inversion, and extraction.
• Neural Network Agnostic: Supports a wide range of AI models—text, image, audio, and multi-modal.
• CI/CD & SIEM Integration: Easily plugs into existing development and monitoring workflows.
• Burp Suite Extension: Enables deep integration with established cybersecurity testing tools.
• Threat Mapping to OWASP & MITRE ATLAS: Provides standardized, actionable insights for risk remediation.
• Model Risk Comparison: Helps evaluate and benchmark security across different AI models.
• AI Guardrail Testing: Validates the integrity and safety of AI system safeguards.
• Mindgard Labs Training Program: Offers expert-led training on adversarial machine learning and real-world countermeasures.
• GDPR Compliant & ISO 27001 Certified (Expected 2025): Ensures data privacy and security standards.
• Fast Setup (<5 minutes): Minimal onboarding effort for rapid deployment.
• Support for Third-Party Models: Secures OpenAI, Claude, Bard, and other external AI services.

Pricing: Mindgard.ai offers a freemium model with access to foundational testing capabilities, while advanced features and enterprise-grade security assessments are available through paid subscription tiers tailored to organizational needs.

Conclusion: Mindgard.ai stands at the forefront of AI security innovation, combining academic rigor with practical, scalable tools to empower organizations in safeguarding their AI systems against evolving threats—making it an essential partner for any business serious about responsible AI deployment.