Artificial Intelligence’s Post

AI is becoming more and more familiar in daily life. Alongside this, protecting personal data presents unique challenges such as ensuring data integrity, preventing unauthorized data access, and maintaining user privacy. There are many ways to help you protect your personal information, such as: - Implementing strong data encryption techniques - Ensuring compliance with global data protection regulations - Adopting privacy by design in AI development - Regularly auditing AI systems for data security For more details, read this article: https://lnkd.in/dk33eNJn

#IPspyCyberSecAlert - Data Breaches This Week Data Privacy Week: the role of AI in privacy ... This can help reduce the risk of data breaches and leaks by applying appropriate security measures to ...

Be sure to take a look at my newest blog post, where I cover the key data privacy controls that will matter most for any business adopting AI. Data, security, and privacy are issues with implications on many fronts; approaches that seek to make healthy decisions do so by understanding what information is sensitive and to whom. #Cybersecuirty #DataVisibiltiy #DataPrivacy #Governance

Data-in-use Protection: Your New Privacy Defense Protecting the confidentiality of Personal Identifiable Information (PII) and other sensitive data has never been more critical. With legislation efforts from California Consumer Privacy Act (CCPA) to General Data Protection Regulation (GDPR), and the attention of auditors and regulators, organizations are increasingly cyber-aware and under an enormous amount of pressure to protect sensitive data. Deploying data-in-transit and data-at-rest encryption for network and storage solutions provides peace of mind but fails to address the third state of data: The one where data is actually being processed: data-in-use. Whether it is AI models, healthcare data, cryptographic keys, financial records, or simply one of the types of customer data requiring protection under the various new state, national, and international regulations, failing to protect data throughout its entire lifecycle is becoming indefensible to major stakeholders. RSA Conference https://lnkd.in/gpeykbpw

The Role of Artificial Intelligence in Data Privacy: Opportunities and Challenges The Role of Artificial Intelligence in Data Privacy: Opportunities and Challenges Introduction In today’s digital age, data privacy has become a critical concern for individuals, organizations, and governments alike. With the exponential growth of data and the increasing reliance on technology, protecting personal and sensitive information has become more challenging than ever before. However, as […] https://lnkd.in/d4a9HBeJ

The Role of Artificial Intelligence in Data Privacy: Opportunities and Challenges The Role of Artificial Intelligence in Data Privacy: Opportunities and Challenges Introduction In today’s digital age, data privacy has become a critical concern for individuals, organizations, and governments alike. With the exponential growth of data and the increasing reliance on technology, protecting personal and sensitive information has become more challenging than ever before. However, as […] https://lnkd.in/d4a9HBeJ

With growing adoption of AI trend fears around data privacy and security are genuine. There needs to be a framework around regulating how this works, a good short read.

Effective data governance policies play a critical role in enabling regulatory compliance through safeguarding individuals' privacy rights. As enterprise use cases for Gen AI continue to scale, the significance of such policies lies in ensuring that organizations handle, process, and protect data responsibly. As Gen AI applications become more prevalent, the need for robust data governance becomes paramount to address concerns related to privacy, security, and ethical considerations.

Decoding the data dilemma: Strategies for effective data deletion in the age of AI: Why navigating the intricacies of data deletion requires a strategic approach around legal, cybersecurity and financial implications.

The pivot towards comprehensive digital governance marks a critical evolution in our approach to privacy and data protection. This shift, as highlighted at the IAPP Global Privacy Summit, underscores the imperative for privacy professionals and regulators to navigate the intersection of AI, cybersecurity, and data ethics. The FTC's proactive stance on AI and digital practices exemplifies the necessity for fluid, cross-sectoral strategies in the face of emerging technologies. Embracing this holistic view is not just about regulatory compliance; it's about fostering trust and ensuring a balanced power dynamic in the digital age.