Mindgard DEMO ROOM

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Executive interview

Peter Garraghan
Founder & Chief Science Officer
Mindgard

Peter explains how adversarial AI risk emerged, why traditional controls fail, and how continuous AI red teaming secures enterprise AI from build to production

The Role of AI at Mindgard

An overview of Mindgard's AI security journey explaining why traditional controls fail for LLMs and how, with the right technology, organizations can secure AI safely across the full lifecycle.

Technology Demos

Mindgard Platform Demo

A tour of Mindgard’s AI security platform, covering AI attack surface discovery, automated red-team testing, vulnerability assessment, and defense for enterprise AI systems.

2 Minute Intro
5 Minute Product Tour
Deep Dive Demo

Capabilities Demos

CI/CD AI Security Testing & CLI Automation

CLI-based security testing
CI/CD pipeline integration
Custom datasets & prompts
Attack technique configuration
Automated AI security validation

Policy Engine & Custom AI Security Controls

Custom policy enforcement
Regex-based security rules
Natural language policy creation
Business-specific AI controls
Prompt injection detection

Multi-Turn AI Red Teaming & Attack Simulation

Multi-turn adversarial testing
Goal-seeking attack prompts
Conversation attack chains
OWASP & MITRE mapping
Vulnerability reasoning analysis

AI Reconnaissance & Guardrail Fingerprinting

Automated AI reconnaissance
Guardrail fingerprinting
Input & output capability detection
Attack surface discovery
Evidence & provenance analysis

Additional Resources

Modern AI Red Teaming: Probabilities, Vulnerabilities, and Psychometrics

Bringing AI Security into Your CI/CD with Mindgard

Continuous AI Red Teaming: Why S&P Global Says It’s Critical to Securing the AI Era

PINCH framework: mapping how model stealing attacks really work

Organizations are rapidly adopting AI technologies, embedding them into production environments without full visibility into how their probabilistic and opaque behaviors introduce exploitable risk. Mindgard addresses this challenge by providing AI security solutions that help enterprises secure AI models, agents, and applications across the AI lifecycle. Spun out of more than a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard enables organizations to identify, assess, and mitigate real-world AI threats.

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AI Security