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CONTINUOUS AUTOMATED RED TEAMING FOR AI

We empower enterprise security teams to deploy AI and GenAI securely. Leverage
the world's most advanced Red Teaming platform to swiftly identify and remediate
security vulnerabilities within AI. Minimize AI cyber risk, accelerate AI
adoption, and unlock AI/GenAI value to your business.


Book a Live Demo TRY NOW FOR FREE


JOIN OTHERS RED TEAMING THEIR AI




SECURE YOUR AI, GENAI, AND LLMS

AI/GenAI is increasingly deployed into enterprise applications. Mindgard enables
you to continuously test and minimize security threats to your AI models and
applications.

COMPREHENSIVE TESTING

Developed and rigorously tested against a diverse range of AI systems over the
past 6+ years to uncover risks within any model or application using neural
networks. This includes multi-modal Generative AI and Large Language Models
(LLMs), as well as audio, vision, chatbots, and agent applications.

AUTOMATED EFFICIENCY

Automatically Red Team your AI/GenAI in minutes and receive instant feedback for
security risk mitigation. Seamlessly integrate continuous testing into your
MLOps pipeline to detect changes in AI security posture from prompt engineering,
retrieval-augmented generation (RAG), fine-tuning, and pre-training.

ADVANCED THREAT LIBRARY

We offer a market-leading AI attack library, continuously enriched by our team
of PhD AI security researchers. Supported by Mindgard's dedicated team, you can
test for requirements unique to your business.


CYBER SECURITY IS A BARRIER TO AI/GENAI ADOPTION. LET'S UNLOCK IT.


IN-DEPTH SECURITY TESTING OF AI/GENAI

Created by award-winning UK scientists in AI security, the Mindgard platform
allows you to rapidly security test AI across an expansive set of threats:

JAILBREAK

Clever use of inputs or commands to prompt a system to perform tasks or generate
responses that go beyond its intended functions.

EXTRACTION

Attackers extract/reconstruct AI models, compromising security and exposing
sensitive information.

EVASION

Occurs when an attacker alters a machine learning model's input or decision
logic to generate incorrect or deceptive outputs.

INVERSION

Aims to reverse-engineer a machine learning model to uncover sensitive
information about its training data.

POISONING

Deliberate tampering with a training dataset used by an AI model to manipulate
its behavior and outcomes.

PROMPT INJECTION

Malicious input added to a prompt, tricking an AI system into actions or
responses beyond its intended capabilities.

MEMBERSHIP INFERENCE

Tries to reveal if a particular data point was included within the training data
of the model.


RED TEAMING CAN REDUCE YOUR LLM VIOLATION RATE BY 84%.


SECURE YOUR AI

Whether building, buying or adopting, Mindgard gets AI and GenAI deployed
securely.


ENTERPRISE GRADE PROTECTION

Serve any AI model as needed, while keeping your platform safe and secure. 


HELP YOUR CUSTOMERS USE SECURE AI

Report and improve on AI security posture, with runtime protection for your
customers.


LEADING THREAT RESEARCH

Built by expert AI security researchers. Our market-leading AI threat library
contains hundreds of attacks, continuously updated against the latest threats.
Lightning-fast and automated security testing of unique AI attack scenarios
completed in minutes.


HAVING SET THE STANDARD IN THE WORLDS’ INTELLIGENCE AND DEFENCE COMMUNITIES, WE
ARE NOW SECURING THE ENTERPRISE ACROSS THE AI/ML PIPELINE.


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MINDGARD IN THE NEWS

 * Mindgard’s Dr. Peter Garraghan on TNW.com Podcast / May 2024
   
   
   "WE DISCUSSED THE QUESTIONS OF SECURITY OF GENERATIVE AI, POTENTIAL ATTACKS
   ON IT, AND WHAT BUSINESSES CAN DO TODAY TO BE SAFE."
   
   Listen to the full episode at TNW.COM
 * Mindgard’s Dr. Peter Garraghan in Businessage.com / May 2024
   
   
   "EVEN THE MOST ADVANCED AI FOUNDATION MODELS ARE NOT IMMUNE TO
   VULNERABILITIES. IN 2023, CHATGPT ITSELF EXPERIENCED A SIGNIFICANT DATA
   BREACH CAUSED BY A BUG IN AN OPEN-SOURCE LIBRARY."
   
   READ FULL ARTICLE AT businessage.com
 * Mindgard’s Dr. Peter Garraghan in Finance.Yahoo.com / April 2024
   
   
   "AI IS NOT MAGIC. IT'S STILL SOFTWARE, DATA AND HARDWARE. THEREFORE, ALL THE
   CYBERSECURITY THREATS THAT YOU CAN ENVISION ALSO APPLY TO AI."
   
   READ FULL ARTICLE AT finance.yahoo.com
 * Mindgard’s Dr. Peter Garraghan in Verdict.co.uk / April 2024
   
   
   "THERE ARE CYBERSECURITY ATTACKS WITH AI WHEREBY IT CAN LEAK DATA, THE MODEL
   CAN ACTUALLY GIVE IT TO ME IF I JUST ASK IT VERY POLITELY TO DO SO."
   
   Read full article at verdict.co.uk
 * Mindgard in Sifted.eu / March 2024
   
   
   "MINDGARD IS ONE OF 11 AI STARTUPS TO WATCH, ACCORDING TO INVESTORS."
   
   Read full article at sifted.eu
 * Mindgard’s Dr. Peter Garraghan in Maddyness.com / March 2024
   
   
   "YOU DON’T NEED TO THROW OUT YOUR EXISTING CYBER SECURITY PROCESSES,
   PLAYBOOKS, AND TOOLING, YOU JUST NEED TO UPDATE IT OR RE-ARMOR IT FOR
   AI/GENAI/LLMS."
   
   Read full article at maddyness.com
 * Mindgard’s Dr. Peter Garraghan in TechTimes.com / October 2023
   
   
   "WHILE LLM TECHNOLOGY IS POTENTIALLY TRANSFORMATIVE, BUSINESSES AND
   SCIENTISTS ALIKE WILL HAVE TO THINK VERY CAREFULLY ON MEASURING THE CYBER
   RISKS ASSOCIATED WITH ADOPTING AND DEPLOYING LLMS."
   
   Read full article at Techtimes.com
 * Mindgard in Tech.eu / September 2023
   
   
   "WE ARE DEFINING AND DRIVING THE SECURITY FOR AI SPACE, AND BELIEVE THAT
   MINDGARD WILL QUICKLY BECOME A MUST-HAVE FOR ANY ENTERPRISE WITH AI ASSETS."
   
   Read full article at tech.EU
 * Mindgard in Fintech.global / September 2023
   
   
   "WITH MINDGARD’S PLATFORM, THE COMPLEXITY OF MODEL ASSESSMENT IS MADE EASY
   AND ACTIONABLE THROUGH INTEGRATIONS INTO COMMON MLOPS AND SECOPS TOOLS AND AN
   EVER-GROWING ATTACK LIBRARY."
   
   READ FULL ARTICLE AT fintech.global




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Mindgard Ltd is a registered company in England and Wales. Registered number
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