Blog: Findings From Our Key Research

The thoughts & insights of our exceptional team based on the findings of research within AI Security.

Bypassing Azure AI Content Safety Guardrails

Discover a security issue within Azure AI Content Safety guardrails that Mindgard has discovered and reported to Microsoft.

Mindgard Raises $8M to Safeguard AI with Industry-First AI Security Solution

In a significant milestone for AI security innovation, Mindgard is proud to announce its $8 million funding round led by .406 Ventures, alongside key strategic appointments of two industry leaders, Dave Ganly and Fergal Glynn. With this funding and expanded leadership, Mindgard is poised to transform the AI security landscape, addressing the critical risks associated with AI adoption.

What is AI Red Teaming?

Red teaming, a concept originally rooted in military strategy, involves deploying a dedicated team to challenge an organization’s defenses. When applied to AI, this approach goes beyond traditional testing methodologies by simulating real-world adversarial scenarios to evaluate how AI systems perform under pressure.

Red Teaming vs Pentesting: Understanding the Differences and Synergies

When it comes to assessing the security and resilience of systems, "Red Teaming" and "Penetration Testing" are two methodologies that are often compared. While they share similarities in their objectives, these approaches are distinct in their execution, scope, and purpose.

Mindgard Wins Enterprise Security Tech 2024 Cybersecurity Top Innovation Award

Mindgard is proud to announce its recognition as a winner of the Enterprise Security Tech 2024 Cybersecurity Top Innovations Award.

Mindgard AI Red Teaming Product Updates Dec 2024

We've been busy developing new features to add even more value to your Mindgard experience, and we're excited for you to try them out. Here's what's new: Improved Attack Page plus OWASP Top 10 and MITRE Atlas Techniques Mapping, Test your own Custom Datasets & Prompts, New Attacks Released, Introducing Mindgard Academy

TNW Podcast: Cybersecurity in AI with Dr. Peter Garraghan CEO of Mindgard

Discover the latest insights on cybersecurity for AI in the TNW Podcast episode with Dr. Peter Garraghan. Learn about threats, solutions, and how Mindgard can help secure your AI systems.

Jailbreak and Encoding Risks in Pixtral-Large-Instruct-2411

Discover the latest findings on vulnerabilities in Pixtral-Large-Instruct-2411, including jailbreak and encoding risks, and learn how to safeguard your AI applications effectively.

Caveat Podcast: The Startup Leading AI Security in the UK with Mindgard's CEO

Discover the latest insights on AI security with Dr. Peter Garraghan, CEO of Mindgard, in this podcast episode. Learn about threats, solutions, and how Mindgard can secure your AI systems.

How the OWASP Top 10 Risks for LLMs Evolved from 2023 to 2025: Lessons and Implications

The new 2025 OWASP Top 10 Risks for Large Language Models (LLMs) highlights critical shifts within AI security. Here's a summary of new, expanded or updated risks that are particularly interesting.

AI Under Attack: Six Key Adversarial Attacks and Their Consequences

Discover the critical importance of defending AI models against adversarial attacks in the cybersecurity landscape. Learn about six key attack categories and their consequences in this insightful article.

The Security Strategist Podcast: Neural Networks at Risk

Discover the latest insights on AI security with Dr. Peter Garraghan, CEO of Mindgard, in this podcast episode. Learn about the security threats that neural networks face.

Find and Mitigate an LLM Jailbreak

Learn how to identify, mitigate, and protect your AI/LLM from jailbreak attacks. This guide helps secure your AI applications from vulnerabilities and reputational damage.

Audio-Based Jailbreak Attacks on Multi-Modal LLMs

Explore the risks of audio-based jailbreak attacks on multi-modal LLMs and discover defense strategies to protect AI systems from adversarial exploits.

Can My Model Be Hacked? Understanding and Mitigating Security Vulnerabilities within LLMs

Explore the vulnerabilities of Large Language Models (LLMs) and how to mitigate security risks with Mindgard's cutting-edge AI security solutions. Stay ahead of evolving threats in the AI landscape. Presentation delivered at NVIDIA GTC 2024 by our CEO Peter Garraghan.

Bypassing AI-Driven Deepfake Detection via Evasion Attacks

Discover how evasion attacks are bypassing AI-driven deepfake detection, posing significant risks to cybersecurity. Learn about defense strategies and the importance of red teaming for AI security.