Protegrity Privacy Protect empowers businesses to activate and extract value from sensitive data and engenders trust by ensuring the privacy of customers and employees is always preserved. Privacy Protect is unique in its ability to cohesively safeguard privacy across the enterprise, wherever it resides and however it is accessed. This allows businesses to use sensitive data to fuel advanced analytics, machine learning, and AI—even as those initiatives migrate to cloud environments.
Protegrity AI Protect creates opportunities to harness the sensitive data that is proven to be most effective in activating advanced analytics, machine learning, and AI. AI Protect keeps pace with the exponential increase in sensitive data, data-storage systems, and tools that surface insights and enable predictive analytics. With the confidence that sensitive data is protected, businesses can quickly extract value, apply insights in real time, and predict outcomes that accelerate growth.
Protegrity Cloud Protect advances data protection across cloud technologies so enterprises can safely rebuild their global infrastructure in the cloud. Data must move without hindrance through an enterprise’s many cloud-based databases and applications. Businesses need the cloud to place workloads in development containers. They need the cloud to tap AI and reinvent how they make decisions. Cloud Protect lets enterprises innovate by protecting data as it moves.
Responsible businesses believe their customers and employees have a right to privacy—they value those relationships, after all. Unfortunately, success in safeguarding privacy, now and in the future, won’t be guaranteed by a desire to do so. The myriad of regulations already enacted, compounded by the many others that are sure to come, only stress the need for businesses to protect the privacy of anyone and everyone whose personally identifiable information resides in corporate data. It’s a big undertaking that many enterprises, regardless of size and scale, can’t handle on their own.
The types of data that are most critical in driving innovation—with advanced analytics, machine learning, and AI—are those deemed most sensitive and must be safeguarded. Naturally, sensitive data chronicles how customers and employees engage, and, once harnessed, reveal insights and outcomes that are game changers for your business. Such intelligence, once harnessed, optimizes experiences in real time while creating a blueprint for rapid growth. Privacy and innovation go hand-in-hand. You can’t have one without the other, and neither is optional anymore.
Optimize the buyer journey to engage new customers and provide amazing customer support—all while ensuring sensitive data is preserved. Securing sensitive data allows businesses to drive personalized digital experiences.
An ever-changing and constantly evolving regulatory landscape is viewed by many as a burden. Evergreen Compliance weaves privacy into the fabric of your enterprise, as secure sensitive data is tapped to fuel innovation.
Businesses that invest in a data-as-a-service model outperform their peers by a large margin. When privacy prevails, they are free to leverage sensitive data with confidence to gain that hard-to-win competitive advantage.
Protegrity PrivacyPro, a solution within the Protegrity Data Protection Platform [[Link the previous to the Platform page]], is evidence of our understanding that there are myriad standards and requirements for the ownership, protection, and sharing of data. Whether it’s different industries, cultures, or laws, we honor all of those variants by giving you the freedom to choose the data-protection methods that best meet your needs.
Businesses today can’t keep pace, let alone thrive, without taking advantage of sensitive data—but it must be secure and protected. That’s why just about every major industry is represented in Protegrity’s list of customers. This includes:
While businesses benefit from AI tools, many have discovered that various technologies take different approaches to data protection. Some analytics tools and databases have built-in data protection, but that doesn’t always meet the required level of security. Also, compliance and security teams struggle to align data protection with these tools. Lines of business want to use AI tools that best meet their specific needs, and a one-size-fits-all application doesn't cut it for entire enterprise. Businesses need to coalesce their many AI tools with a unifying system that manages the complexities of security.
Enterprises tepidly approach AI because they’re afraid of not complying with regulations safeguarding the privacy of data. It’s a tough balancing act: Maximizing AI applications that personalize customer experiences, improve operations across the enterprise, and anticipate industry trends—all while staying mindful of data privacy. Enterprises can’t grant liberal access to data, nor can they take months to determine which data needs to be anonymized for analytics. Effective, enterprise-wide security has to shape data analytics if businesses are to extract value from data and protect its most sensitive elements.
Digital transformation has brought with it the ability for businesses to generate, organize, and activate data more seamlessly than ever before. We see data as a superpower that businesses can use to drive advanced analytics and AI.
When digital transformation comes knocking, it wants to take your sensitive data with it—to the cloud. Today’s enterprises know they can increase analytics agility by leveraging hybrid- and multi-cloud services.
Businesses can monetize the troves of data they have accumulated, transforming operational data into a valuable asset. For many, the ability to share privacy-preserved data and analysis could have world-impacting implications.
Cloud providers offer businesses a bounty of technological benefits, but they sometimes come up short on data protection. For one, few cloud providers offer uniformity in their approach to safeguarding data. Security and compliance teams thus have to piece together disparate cloud-security policies every time a new cloud application or database is considered. More important, cloud–native data protection often doesn’t meet an organization’s demanding expectations. Enterprises can’t take chances with less than ideal data security.
Enterprises often can’t innovate because they’re busy tending to disparate data-security policy enforcement across their many on-premises and cloud-native databases and tools. With data-security administration decentralized, compliance and security teams scramble to align expectations for data privacy with the data-security policies of different vendors. An easy way to handle this lack of cohesion is to tighten access to data, but that slows the progress of those using cloud applications and programs in their workflows. Innovation then suffers.
Identify sensitive data in the cloud so innovation can proceed uninterrupted. Data offers value only if it’s discovered, classified, and protected. It’s a huge challenge to keep tabs on data migrating to the cloud.
Effective data security protects data in its journey to the cloud. Streamlining and consolidating your data-protection strategy frees time for building innovation into the fabric of your cloud-migration strategy from day one.
Cloud is where the magic happens. It untethers you from relying solely on physical infrastructure. To fulfill the dream of cloud-migration initiatives, data in the cloud needs to be protected so businesses can innovate without worry.