Who Has Access to Your Cloud Data
From researching which cloud to the logistics of implementing it into your company can be overwhelming. Questions flood your brain like: Can I trust this cloud provider with my company’s sensitive data? What are the safety protocols for this server? Who has access to the cloud data? The cloud’s safety and the protection of the actual data in the cloud is everyone’s concern. No one wants to have their data exposed to a third party without our consent. However, there are things that we can do to protect what’s in the cloud. Who Has Access to Your Cloud Data No matter which cloud you choose, only 3 groups of individuals can get access to the cloud: the Cloud Access Security Broker (CASB), your company, and the individuals to who you grant access to the cloud. Cloud Access Security Broker (CASB) sits between a cloud service customer and the cloud service provider. Whenever the data on the cloud is being accessed, they enforce the organization’s security policies by managing risk identification and the company’s compliance with the necessary regulations. Once you get a cloud, the company controls who has access to the cloud through authorized log-in, and the provider. Be Proactive, Not Reactive With Cloud Data There are always steps we can take as individuals, as a company, and for the cloud. Individuals Require a password to access the cloud, and change it every 90 days Log off after using the cloud Avoid using public networks when accessing the cloud Reduce the number of downloads on the server Company Look at internal policies Lock all devices Require multi-factor authentication or 2-factor authentication Apply strict role assignments Cloud Backups Monitor upgrades Protect your data Take care of overseas servers Meet the C² Data Privacy Platform The C² Data Privacy Platform is your powerful, all-in-one solution for managing and securing data across enterprise cloud and hybrid environments. It handles data management, discovery, and security with ease. Key Features: C² Manage: Gain full visibility into all data regions within your AWS account, laying the foundation for comprehensive data discovery by answering the crucial question: “Where is my data stored?” Turn on and off the unnecessary accounts to reduce AWS costs. C² Discover: Leverage cutting-edge data discovery techniques, including machine learning, AI, and contextual knowledge, to accurately analyze and identify sensitive data across various sources in various different data sources, relational databases, NoSQL, Data Lakes, and Data Warehouses. C² Discover provides a unified view of data locations, highlights areas with high concentrations of sensitive information, and assigns the risk scores based on what types and how much sensitive data was found. C² Secure: Protect your discovered data with expert recommendations on encryption, masking, synthesis, and redaction. With over 21 years of experience serving Fortune 500 clients, C² Secure ensures your sensitive data is effectively safeguarded.
Do All Clouds Have the Same Data Protection?
Companies, now prefer using the cloud because it’s cheaper to store files, it’s flexible, and it allows users to access it regardless of where they are located. There are four types of clouds, private, public, hybrid, and multi-cloud. Based on the type of cloud, the level of security varies. Private Cloud and Cloud Protection A private cloud is a server that allows hardware and software resources that be controlled and addressed by one user. That means that it’s owned by a user and receives the most security since the owner can customize the infrastructure. However, it comes at a substantial cost because it gives you maximum control over what goes in, what comes out, how it’s protected, and who has access. Public Clouds and Cloud Protection Public clouds are on-demand servers for organizations and individuals who can gain access to the cloud through the Internet. This makes them owned by a public cloud service provider. This type of cloud requires the users to rely on themselves and the cloud service provider for protection. Hybrid Clouds Protection A hybrid cloud is a combination of computing environments, public clouds and private clouds, and on-prem and cloud data centers. This is because some applications in the IT ecosystem are run on computing, storage, and services in a variety of environments, resulting in the protection heavily relying on third-party applications and you. The users would have to rely on themselves. Multi-Clouds and Cloud Protection Multiclouds use two or more clouds to achieve different tasks. This allows the user to complete a task while taking advantage of the benefits and functionality of the different clouds. As the other clouds discussed, the security responsibility is on the user. Regardless, of the data protection level and who provides the protection, knowing your exposure and your risk level is something that always needs to be known. Meet the C² Data Privacy Platform The C² Data Privacy Platform is your powerful, all-in-one solution for managing and securing data across enterprise cloud and hybrid environments. It handles data management, discovery, and security with ease. Key Features: C² Manage: Gain full visibility into all data regions within your AWS account, laying the foundation for comprehensive data discovery by answering the crucial question: “Where is my data stored?” Turn on and off the unnecessary accounts to reduce AWS costs. C² Discover: Leverage cutting-edge data discovery techniques, including machine learning, AI, and contextual knowledge, to accurately analyze and identify sensitive data across various sources in various data sources, relational databases, NoSQL, Data Lakes, and Data Warehouses. C² Discover provides a unified view of data locations, highlights areas with high concentrations of sensitive information, and assigns the risk scores based on what types and how much sensitive data was found. C² Secure: Protect your discovered data with expert recommendations on encryption, masking, synthesis, and redaction. With over 21 years of experience serving Fortune 500 clients, C² Secure ensures your sensitive data is effectively safeguarded.
Finding Sensitive Data
At C² Data Technology, we aim to find sensitive data in places where it’s not obvious. Practically, we seek to locate and classify sensitive entities in your data repositories. Using machine learning, we detect over 35 types of sensitive data, covering the bases for HIPPA, PII, and national and international regulations using machine learning. This post will focus on what makes C² Discover the next-generation tool to detect and monitor sensitive data. What Is the Common Approach to Detecting Sensitive Data? The most common approach is rule-based, as it relies mainly on hand-crafted rules with a foundation in regular expressions. Rules can be designed based on domain-specific labels and syntactic-lexical patterns. Regex can work well with the lexicon is exhaustive. However, it’s impossible to cover all patterns due to domain-specific rules and incomplete dictionaries. Take entity “address” for example. It’s next to. Impossible to include all patterns for varied address formats around the work and it relies heavily on manual effort to construct. Regex’s don’t work when the data doesn’t follow any known rules! How Does C² Discover Develop a Next-Generation Solution? By tapping into the breadth and depth of machine learning algorithms and innovative cloud technologies, C² Data came up with a hybrid Machine Learning model. We call our solution C² Discover’s exclusive Deep Learning based model. It uses a combination of machine learning resources powered by AWS (e.g., AWS Comprehend) and additional layers of contextual rules based on our experience. The results based on these combined methods provide a higher degree of accuracy than either one alone. How does C² Discover Detect Sensitive Data? Reducing the Human Effort Traditional rule-based approaches require a considerable amount of engineering skills and domain expertise. Applying deep learning-based models, on the other hand, is effective in automatically learning representations and underlying factors from raw data. C² Discover will save significant effort in designing rules and writing regex expressions as well as adapting quickly to new data environments. Employing Rich Features in Model Training By sourcing synthetic data based on the real-world schema, we were able to build C² Discover’s exclusive learning-based model. We incorporated not only world-level and character-based representation learned from an end-to-end neural model, but also additional information (e.g., gazetteers and linguistic dependency). These rich features allow our model to have a better understanding of different data repositories. Applying Weighted Results By combining different resources results, C² Discover’s robustness is guaranteed. In this way, bias can be hugely decreased by using C² Discover than other solutions that depend on one model only.
