Organizations using machine learning systems require data to train their systems. They must have the right to use that data or risk getting into trouble.

GDPR provides unprecedented levels of control to consumers and how they manage their data. Here’s what you need to know about data consent.

Explainability is the extent to which the deep learning system decisions can be explained in human terms. Read to learn how it might impact you under GDPR.

Technical safeguards are security controls that protect security-sensitive information and are carried out via technology or managed by technology.

Physical safeguards include business policies, procedures, and record-keeping required to protect a Covered Entity’s physical facilities and equipment.

Preventing data breaches requires a combination of approaches to manage people, processes, and technologies to implement robust security controls.

High-profile security breaches and loss of consumer personal information lead to lawsuits. Read to learn about the liabilities your company may face.

Attorneys play a vital role in controlling security and legal risk and defending a business from claimants. Read to learn about what that entails.

Data breaches are an everyday occurrence. Learn about the business damage, as well as the legal and financial risks associated with security breaches.

Learn the security risks involved in advanced IoT devices and how powerful mitigation strategies can keep your personal and private data safe.

Learn how and start protecting your company and customer data in this six step process of implementing an effective security and privacy program.

Help your company manage privacy practices and information security more effectively by understanding the applicable laws of data protection and the role of general counsel.

Learn the risk factors associated with personal data collection in public spaces by video surveillance of blockchain technologies including IoT, Big Data, artificial intelligence, and robotics.

The European Union’s GDPR privacy and security law creates firm limits and regulates how companies can collect, store, use, share and access personal data.

Privacy within AI and robotics systems involves the personal data of individuals and how that data is collected, how it’s used, and with whom it’s shared.

One of the hot topics today that we're facing is looking at the ethical and moral implications of using artificial intelligence systems and robots.

Tech companies in Silicon Valley that do business in Europe are in an especially difficult situation of satisfying the demands of potentially three masters, primarily federal requirements on specific sectors, California’s own data privacy and security laws, and those in force by the European Union.