AI Machine Learning Tool Security Beyond LLMs
Cyrex gold standard security for all AI applications
With Large Language Models or LLMs being the most popular and common AI machine learning tool, it’s important to consider the security of all forms of this new and exciting technology. All other machine learning generators and AI tools are just as vulnerable. AI Image or voice generators, even machine learning snapchat filters, they are all potentially vulnerable to attack. With our gold standard in security, you can be safe in the knowledge that your AI tool will be checked, tested, and verified to the highest standard of digital safety.
Years of AI Security Experience
From the moment AI machine learning tools hit the market, our team were involved and investigating their capabilities. Both as assistants to our work and as new pieces in the world of cybersecurity. No matter the type of AI tool you use, or in what capacity, our team have the experience and expertise to ensure it is as secure as possible from malicious actors.
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There are several known and proven ways to leverage an AI tool for malicious means. These include:
Prompt Injections: where emotional or code language is inserted into an LLM, encouraging it to deliver data or training information it shouldn’t. This is a careful process of forcing the LLM to bypass its own safety measures by implementing multiple rules through the conversation.
Data Leakage: There are multiple ways to force an AI tool to begin leaking data. It is another method of tricking the model into giving out information it shouldn’t. In industries such as banking, fintech, or healthcare, this could be catastrophic.
Code Execution: Where an LLM or other AI tools are more in control and acting as an agent on your application or platform, they become far more dangerous. With its own agency on your system, it can be abused through code executions. Either executing code directly into your platform or forcing the AI tool to take actions it typically shouldn’t be able to.
How resilient is your AI model?
Outside of just security, there are growing methods of ‘poisoning’ an AI machine learning model’s training data. In closed tests, we can see how your model reacts to these attacks and offer clear directions on how to harden your model’s defences against these types of attacks. Training an AI machine learning model is costly, don’t let someone poison the data you’re using and compromise your model.
Pen Testing Your AI Application
Deep Dive into AI Architecture: We'll meticulously analyze your AI's architecture, including its neural networks, training data, and algorithms. This comprehensive understanding allows us to identify potential vulnerabilities that are specific to AI systems.
Advanced Attack Vectors: Our testing will simulate a wide range of attacks, such as adversarial attacks, data poisoning, model extraction, and inference attacks. These techniques exploit AI's inherent vulnerabilities, such as susceptibility to manipulated inputs or the potential for unauthorized access to sensitive data.
Tailored Recommendations: Our detailed reports will not only highlight vulnerabilities but also provide specific recommendations to address AI-specific risks. We'll discuss strategies for defending against adversarial attacks, ensuring data privacy, and protecting your AI's intellectual property.
Don't just listen to us, find out what our clients and partners have to say
“After a year of collaborating with Cyrex on multiple game security assessments, I can say with confidence that their team of security experts has been instrumental in helping us identify and address security concerns in our game software and infrastructure."
Amazon Games
"Working with Cyrex is great. Cyrex is characterized not only by their professionalism but also by their flexibility to adapt to any project. The expertise of Cyrex has assisted us in identifying internal improvement opportunities through penetration and load testing."
PLAION
"When it comes to load and penetration testing, Cyrex are clearly the market leader. They provide me with confidence that our game titles will go to market without major security or scalability issues at launch."
Tencent Games
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