Mindgard
Click to visit website
About
Mindgard is a leading AI security testing company offering Dynamic Application Security Testing for AI (DAST-AI), an automated red teaming solution. It identifies and resolves AI-specific risks detectable during runtime, covering various AI models including LLMs, image, audio, and multi-modal. Mindgard's platform integrates into existing CI/CD and SDLC stages, providing continuous security testing and actionable insights for security teams. Founded from a UK university lab, it boasts a large AI/GenAI attack library developed through extensive research. The company offers services like AI red teaming and artifact scanning, alongside resources, blogs and documentation. They cater to various organizations, including those in finance, healthcare, and cybersecurity.
Platform
Task
Features
• automated ai red teaming
• identifies and helps resolve ai-specific risks
• integrates into existing reporting & siem systems
• continuous security testing across the ai sdlc
FAQs
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 2025.
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.
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.
Why don't traditional AppSec tools work for AI models?
The deployment and use of AI introduces new risks, creating a complex security landscape that traditional tools cannot address. As a result, many AI products are being launched without adequate security assurances, leaving organisations vulnerable—an issue underscored by a Gartner finding that 29% of enterprises deploying AI systems have reported security breaches, and only 10% of internal auditors have visibility into AI risk. Many of these new risks such as LLM prompt injection and jailbreaks exploit the probabilistic and opaque nature of AI systems, which only manifest at runtime. Securing these risks, unique to AI models and their toolchains, requires a fundamentally new approach.
What is automated red teaming?
Automated red teaming involves using automated tools and techniques to simulate attacks on AI systems, identifying vulnerabilities without manual intervention. This approach allows for continuous, efficient, and comprehensive security assessments, ensuring AI models are robust against potential threats.
What are the types of risks Mindgard uncovers?
Mindgard identifies various AI security risks, including: - Jailbreaking: Manipulating inputs to make AI systems perform unintended actions. - Extraction: Reconstructing AI models to expose sensitive information. - Evasion: Altering inputs to deceive AI models into incorrect outputs. - Inversion: Reverse-engineering models to uncover training data. - Poisoning: Tampering with training data to manipulate model behaviour. - Prompt Injection: Inserting malicious inputs to trick AI systems into unintended responses.
Why is it important to test instantiated AI models?
Testing instantiated models is crucial because it ensures that AI systems function securely in real-world scenarios. Even if an AI system performs well in development, deployment can introduce new vulnerabilities. Continuous testing helps identify and mitigate these risks, maintaining the integrity and reliability of AI applications.
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.
Job Opportunities
AI Security Analyst
Mindgard provides automated AI red teaming and security testing solutions to identify and mitigate AI-specific risks, integrating with existing CI/CD and SDLC.
Experience Requirements:
A domain expert in the application security field, including common vulnerabilities such as XSS, SSRF, RCE, SQL Injection, Deserialization, etc.
Experienced with security team processes, practices such as threat modeling, and use of tooling such as SAST/DAST/SCA/CSPM/ASPM.
Comfortable writing vulnerabilities disclosures and crafting security exploits.
Familiar with responsible disclosure processes.
Capable of writing code and configuring systems to automate your work and produce proof of concepts
Other Requirements:
Kind, to collaborate effectively towards the highest quality outcomes.
Passionate about our mission to help security teams with AI security risks.
Curious, to deepen your understanding of AI security.
Pragmatic, helping our customers make the best security tradeoffs
Responsibilities:
Adding security intelligence for the latest AI security vulnerabilities to the Mindgard product.
Making cutting-edge AI security research actionable for security teams.
Spotting, validating, and triaging new emerging AI security threats from the community.
Developing proofs of concept for potential security vulnerabilities.
Responsibly disclosing vulnerabilities with AI vendors, builders, and the open source community.. Joining customer meetings to understand their AI security concerns.. Advising the product engineering team on security teams requirements and the AI security domain.. Writing, editing, and presenting content that helps the community respond to AI security threats.. Researching new AI security vulnerabilities and attack techniques
Show more details
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
Alternatives
Swift Security
Swift Security is an AI security platform that protects organizations' data and reputation by enabling the safe use of AI across users, developers, and applications.
View Details
DeepKeep
DeepKeep is a Generative AI built platform that continuously identifies seen, unseen & unpredictable AI / LLM vulnerabilities throughout the AI lifecycle with automated security & trust remedies.
View Details
Unbound Security
Secure Gen AI app usage for enterprises, providing visibility, management, and protection with granular access controls and data leak prevention.
View Details
Secure Robotics
Secure Robotics offers AI cybersecurity services and research to help organizations harness the power of AI safely.
View Details
Privya (now NextsecAI)
Privya (now NextsecAI) secures AI systems from source code to production, proactively identifying vulnerabilities and compliance issues across the entire AI supply chain.
View DetailsFeatured Tools
Songmeaning
Songmeaning uses AI to reveal the stories and meanings behind song lyrics. It offers lyric translation and AI music generation.
View Details
Whisper Notes
Offline AI speech-to-text transcription app using Whisper AI. Supports 80+ languages, audio file import, and offers lifetime access with a one-time purchase. Available for iOS and macOS.
View Details
GitGab
Connects Github repos and local files to AI models (ChatGPT, Claude, Gemini) for coding tasks like implementing features, finding bugs, writing docs, and optimization.
View Details
nuptials.ai
nuptials.ai is an AI wedding planning partner, offering timeline planning, budget optimization, vendor matching, and a 24/7 planning assistant to help plan your perfect day.
View Details
Make-A-Craft
Make-A-Craft helps you discover craft ideas tailored to your child's age and interests, using materials you already have at home.
View DetailsPixelfox AI
Free online AI photo editor with comprehensive tools for image, face/body, and text. Features include background/object removal, upscaling, face swap, and AI image generation. No sign-up needed, unlimited use for free, fast results.
View Details
Smart Cookie Trivia
Smart Cookie Trivia is a platform offering a wide variety of trivia questions across numerous categories to help users play trivia, explore different topics, and expand their knowledge.
View Details
Code2Docs
AI-powered code documentation generator. Integrates with GitHub. Automates creation of usage guides, API docs, and testing instructions.
View Details