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What is Personal data?

Personal data refers to any information that can directly or indirectly identify an individual, such as names, email addresses, biometric data, and financial records. Privacy laws like GDPR and CCPA regulate how organizations collect, store, and process personal data to ensure security and user control.

Data collaboratives
Data collaboratives are partnerships where organizations share data to drive social impact, innovation, and research. These collaborations enable secure, privacy-preserving data exchanges across industries such as healthcare, environmental research, and smart city initiatives.
Anomaly Detection
Anomaly detection is the process of identifying patterns in data that deviate significantly from the norm. It leverages machine learning and statistical techniques to detect unusual behavior, making it essential for applications such as fraud detection, cybersecurity, manufacturing quality control, and healthcare analytics. The two primary approaches to anomaly detection are supervised learning (using labeled data) and unsupervised learning (detecting anomalies without predefined labels). AI-powered anomaly detection is particularly effective for processing large-scale, real-time data, ensuring data integrity, security, and operational efficiency.
Cybersecurity
Cybersecurity encompasses strategies, technologies, and practices designed to protect networks, systems, and data from cyber threats. It involves encryption, authentication, and intrusion detection to mitigate security risks.