How do technology partners, cloud providers, vendors, distributors, customers and organizations earn trust? There is no simple answer, but compliance standards play a significant role. There can be no trust without transparency, and modern compliance helps organizations make their security practices considerably less opaque.
The COVID pandemic and The Great Resignation have led to extensive upheaval in workforces and workplaces. How best to achieve and maintain continuous SOC 2 compliance in the face of these seismic shifts?
Data protection, data privacy, and cyber security are top-of-mind concerns, especially for fast growing startups. But what if you could turn your data protection practices into a competitive advantage that helps you close more deals?
During the privacy-last era, consumer trust in brands was repeatedly broken when brands captured, sold, and abused data without consent - even though it was technically legal. To rebuild trust, brands need to change their strategies to be privacy-first instead of last.
UK SOX is coming and many organizations are feeling worried about exhausting all existing compliance resources, incurring high costs, or the amount of testing and data management required to ensure compliance.
Comprehensive mandates like the California Privacy Rights Act (CPRA) require extensive preparation—those with processes in place before it arrives will manage it best, and perhaps even derive benefits from it.
Compliance requirements do not always reflect the complexities of new cloud systems or indicate where problems with traditional security approaches do not work as well for cloud security.
New standards are requiring OEMs and Tier-1s to implement cybersecurity solutions that are comprehensive and can operate throughout the lifecycle of the vehicle.
Newly released Cybersecurity Maturity Model Certification (CMMC) framework will require third-party assessment of mandatory practices and requirements to strengthened cybersecurity infrastructure for the DoD and its more than 300,000 contractors.
Employing a data protection method such as data masking as soon as production data enters the development cycle ensures that data is secured before it travels downstream or outside the business.