While data is central to information security, the rise of cloud computing has also brought more complexity and increased the enterprise attack surface. Thanks to the cloud, enterprises can do more complex things with technology, but cloud computing has also increased the size and complexity of the enterprise attack surface. Enterprise software development pipelines are continuous now, and microservices make it easy for data to move and change in the blink of an eye. This is fine if those data sources are under the purview of security. After all, CISOs are still responsible for securing their enterprise’s data; they need to know where the data resides.
In addition to the proliferation of enterprise clouds and the data they store, the amount of enterprise data is also increasing because AI/ML systems have a deep thirst for data. And because of digital transformation, AI/ML workloads are increasing dramatically. These workloads typically involve data copied from production and transferred to another cloud. All this cloud and AI/ML-driven data sprawl means it will become increasingly more challenging for security teams to discover, classify, and protect their data.
This is the set of challenges Normalyze solves. Normalyze first identifies the organization’s cloud systems and then discovers the most sensitive structured and unstructured data within those systems. Normalyze determines who has access to that data and their level of access. Normalyze also discovers the microservices in use and identifies their vulnerabilities and misconfigurations that place data at risk. With Normalyze, security teams, CISOs, GRC professionals, and DevOps teams.
Can view their entire cloud infrastructure. They can see in one concise place where their most essential data reside and prioritize securing that data based on risk. This way, enterprises always know that their most important data is secured.
Normalyze then coalesces all this data security into a comprehensive graph that connects every factor necessary to identify enterprise cloud data, correlate risks, and provide the information necessary for prioritized remediation. Remediation efforts can be dispatched to a service management platform, or other automated measures can be taken. Specific groups or individuals can be alerted to remedy the vulnerability, or steps can be taken to remove access.
We’re also building a company based on exceptional culture and values. That includes bringing these exceptional data security capabilities to as many organizations as possible. Traditionally, many security companies focus their efforts toward either the mid-market or the enterprise, but not both. Normalyze has an opportunity to help improve security for both mid and large companies. This is because, too often, smaller companies have not had access to best-of-breed technologies, and as their organizations grow, they grow out of them. We are trying to make cloud data security accessible to everyone. One also doesn’t have to be a data scientist to get immediate value from Normalyze.
Finally, we are not only building an exceptional technology that will bring cloud data security back to the center of information security again, but we are also building a great company with an exceptional culture that is global, diverse, remote, transparent, and decidedly collaborative. And we are already working with major enterprises. We have openings for those who seek a great opportunity and have a passion for changing the information security status quo. Please feel free to visit the website and apply. Securing the data has long been one of the biggest challenges with security, and thanks to Normalyze, it doesn’t have to stay that way. We believe we are building something special for our customers and our employees. And we believe in this mission to place data security at the center of cybersecurity, where it has always belonged.