AI Security
Solutions in this area protect machine learning models and data from manipulation, abuse, and sensitive information leaks. They enable control over data flow, policy enforcement, and risk analysis specific to AI-based environments.
Ai security
About this solution
AI Security is a set of solutions and practices designed to protect machine learning models, training data, and inference processes from manipulation, abuse, and unauthorized access. Systems of this type detect and neutralize threats specific to AI environments, such as adversarial attacks, data poisoning, model theft, and prediction manipulation. They also support real-time monitoring of model performance, analysis of their resilience, and ensuring the consistency and fairness of decisions made. AI security solutions protect personal data used in models, support anonymization, and ensure compliance with legal regulations (e.g., GDPR, AI Act). It is also crucial to secure the computing infrastructure, model APIs, and access to code and data repositories. These systems offer integration with DevSecOps platforms, identity management, and XDR and SIEM tools. They also increasingly support the auditability and transparency of model performance, which is crucial in regulated sectors (finance, healthcare, administration). AI security is a new but extremely important pillar of cybersecurity strategy in organizations using AI-based technologies. It ensures the integrity, trust, and resilience of systems that use AI for decision-making.
Products
Benefits of Implementation
