Resources: Navigating the AI Security Landscape

A range of resources including research papers, webinars, and company news focused on AI Security.

Introducing Mindgard MITRE ATLAS™ Adviser

MITRE ATLAS™ Adviser in Mindgard that helps standardise AI red teaming reporting.

Hunting AI Application Vulnerabilities With Burp

In this article we’ll walk through hunting for AI application vulnerabilities. We’ll use Mindgard to find application vulnerabilities in a deliberately-vulnerable LLM lab application made available by PortSwigger.

Analyst Report: OWASP LLM and Generative AI Security Solutions Landscape

The LLM and Generative AI Security Solutions Landscape is an industry report developed by OWASP that maps out key vendors and solutions in the AI security space. This landscape provides a comprehensive view of tools and technologies that help organizations safeguard their AI-powered applications.

Analyst Report: Gartner AI TRiSM Market Guide

Gartner's AI Trust, Risk, and Security Management (AI TRiSM) framework provides a structured approach to managing AI risks while maintaining transparency and accountability.

AI Red Teaming for Image Models

With this update, Mindgard’s platform and CLI have been updated to support image models.

PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models

PINCH is an efficient and automated extraction attack framework.

Mindgard Recognized as UK's Most Innovative Cyber SME 2024 at Infosecurity Europe

Report: Cyber Security for AI Recommendations

Model Leeching: An Extraction Attack Targeting LLMs

Compilation as a Defense

Enhancing DL Model Attack Robustness via Tensor Optimization