Don’t let security be an afterthought – Our approach is to be your partner throughout the entire AI/ML development lifecycle, ensuring your models and systems are robust against adversarial threats from inception to deployment and beyond. Whether you’re developing AI/ML tools or purchasing them, we can assess security and functionality to ensure that the system meets security and performance expectations.
We apply our expertise in AI/ML security to evaluate your system’s design against adversarial threats. Our team identifies potential attack vectors and provides mitigation strategies before your first model is trained.
We assess your AI/ML pipeline and system architecture to identify gaps that may expose your models to adversarial attacks, data poisoning or model extraction techniques.
Using an attacker’s mindset, our ethical hackers simulate AI-specific cyber threats—such as adversarial example generation, evasion attacks and data manipulation—to identify vulnerabilities and strengthen your models against real-world attacks.
We work with your team to implement defense mechanisms such as adversarial training, differential privacy and robust model architectures to minimize security risks.
We evaluate and confirm that your AI/ML system meets security standards, regulatory guidelines and ethical AI principles to ensure trustworthy and responsible AI deployment.
Our team assesses AI/ML infrastructure in sensitive applications to evaluate its data storage and processing capabilities, ensuring that all Personal Identifiable Information (PII) and other sensitive information are properly secured.
Contact us to learn how we can help strengthen your AI/ML security posture against adversarial threats.
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