Data breaches can reveal the
Posted: Sun Feb 09, 2025 9:44 am
But here’s the rub: Included in your internal data is PII and other sensitive information that are extremely valuable to bad actors, and thus can be vulnerable to cyberattacks. Think about customer data or patient data. confidential data you store, and expose your company to financial, legal, and reputational damage.
Luckily, proper AI data governance includes cambodia rcs data sensitive data discovery tools, dynamic data masking, role-based access controls, and data isolation that safeguard your company from data breaches. The key is just ensuring that organizations have proper data governance rules in place to begin with.
Data privacy has become a very public issue
Adhering to data protection laws is key, because non-compliance can lead to fines and penalties, as well as loss of customer faith.
To ensure your organization stays in compliance with the laundry list of data protection laws around the globe, it is important to ensure the AI data governance tools you choose have capabilities like data minimization, data anonymization, and rules-based data access built in.
Transparency helps explain how AI thinks
LLMs are considered black boxes, making it difficult to understand how they reach decisions. This lack of transparency leads to mistrust, and possible misuse, of generative AI apps, since the accuracy of the LLM responses cannot be verified.
Luckily, proper AI data governance includes cambodia rcs data sensitive data discovery tools, dynamic data masking, role-based access controls, and data isolation that safeguard your company from data breaches. The key is just ensuring that organizations have proper data governance rules in place to begin with.
Data privacy has become a very public issue
Adhering to data protection laws is key, because non-compliance can lead to fines and penalties, as well as loss of customer faith.
To ensure your organization stays in compliance with the laundry list of data protection laws around the globe, it is important to ensure the AI data governance tools you choose have capabilities like data minimization, data anonymization, and rules-based data access built in.
Transparency helps explain how AI thinks
LLMs are considered black boxes, making it difficult to understand how they reach decisions. This lack of transparency leads to mistrust, and possible misuse, of generative AI apps, since the accuracy of the LLM responses cannot be verified.