AI models are becoming critical assets for businesses, powering innovative solutions across industries. However, they are also prime targets for adversarial attacks, data theft, and exploitation. Securing your AI models is not just about protecting the data but also about safeguarding the integrity of your AI systems and ensuring reliable, unbiased outputs.
Certbar Security provides comprehensive AI Model Security services tailored to protect your machine learning (ML) and deep learning (DL) models. Leveraging advanced tools and techniques, we secure your models against adversarial threats, data leaks, and compliance risks, ensuring robust, trustworthy, and safe AI systems. Penetration tests, and implementing robust security measures, we ensure that your AI systems are resilient against adversarial attacks and manipulation, safeguarding their reliability and trustworthiness.
NIST published AI Risk Management Framework (AI RMF) to incorporate trustworthiness considerations in the design, development, deployment, and use of AI systems.
European Union regulation concerning artificial intelligence (AI) establishes a common regulatory and legal framework for AI within the European Union (EU).
Embed security of your AI system at every step
Understand the AI model, its deployment environment, and critical assets involved in its decision-making process.
At Certbar Security, we follow industry-leading AI security methodologies to mitigate threats while maintaining AI performance and fairness.
By integrating AI security into the development lifecycle, we help businesses reduce risks, enhance trust, and maintain regulatory compliance.
AI Under Attack? Our Security Services Keep It Safe
Tailor threat models specifically for AI systems, evaluating potential exploitation by adversarial attacks.
Conduct regular audits of AI model integrity, ensuring they operate as intended without unauthorized manipulation.
Implement strong data governance frameworks to ensure the integrity of data feeding AI models remains uncompromised.
Integrate AI model monitoring to detect anomalies and potential security breaches in real-time.
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AI Model Security ensures AI-driven applications remain protected from adversarial attacks, data poisoning, and unauthorized access.
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