Privacy risk scoring:
Privacy risk scoring is a method that quantifies the level of risk associated with a data flow or data assets. It involves assigning numerical or qualitative scores based on regulations or frameworks that govern data protection, such as GDPR in the EU, DPDP in India, CPRA in the US, or PDPL in Saudi Arabia. These scores help visualize the degree of privacy threats and provide mitigation recommendations in accordance with applicable privacy frameworks & regulations.
Privacy Attack Simulation:
Privacy attack simulations, such as singling out attack, linkage attack, outlier attack, and inference attack, are methodologies used to evaluate the vulnerabilities and risks associated with in data assets / flows. These attacks aim to exploit weaknesses in data protection measures to uncover sensitive information that can compromise an individual's privacy.