Protegrity is excited to establish a presence in Asia Pacific, a recognition of the interest the company has experienced in the region for the Protegrity Data Security Platform, which offers centrally-controlled data discovery, security and user activity logging for applications, databases, Big Data warehouses, mainframes, and the cloud. These solutions are available through Protegrity Prime, the industry’s first all-in subscription solution that bundles the company’s software, support and consulting services into flexible tiers based on how much sensitive data is protected.

Learn how to secure your data with leading-edge Protegrity technology by watching our free on-demand webinars. Our APAC Webinar library consist of product demonstrations and implementation discussions on topics ranging from tokenization and encryption, RDBMs at-rest data protection, Cloud security strategies, protecting Hadoop-based data lakes, implementing security in Analytica and Data Science flows, to preparing data for Data Monetization initiatives.

cloud security

On-Demand Demonstrations

Learn about Protegrity’s technology and best practices. See how your company can reduce attack surfaces, threat vectors & risk of unauthorized access to PII, PHI and other sensitive organizational, industry or government regulated data – without the need of a complex key management solution.

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Protegrity talks Big Data Security: opportunities, challenges, and solutions. In this session we explore how data-centric security can enable digital disruption, fulfill regulatory requirements, and make way for data-driven architectures. Part 1 of this webinar demonstrates data protection on Cloudera with Protegrity’s dedicated Hadoop protectors.

Technologies: HDFS, Hive, Impala, Spark, Zeppelin

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Protegrity talks Big Data Security: opportunities, challenges, and solutions. In this session we explore how data-centric security can enable digital disruption, fulfill regulatory requirements, and make way for data-driven architectures. Part 2 of this webinar focuses on more advanced Big Data architectures such as data protection before landing and protecting data on Amazon’s EMR.

Technologies: HDFS, Hive, Amazon Elastic Map Reduce (EMR)

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From traditional reporting to machine learning, data at the core of analytical ventures has opened companies up to a new security vulnerabilities. Join this Protegrity webinar to learn how your Data Science teams can securely build immune analytical environments without compromising the quality of insight. Guided by statistical analysis principles we suggest appropriate protection method for typical and special categories of data.

Technologies: Teradata Database, R, SFTP, PowerPoint

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Do concerns about data protection hinder your brand’s data monetizion ambitions? This Protegrity webinar will teach you how a data-centric approach ensures that trusted third parties sharing your company’s valuable data are doing so securely. In this session we will demonstrate best practices and solutions honed over 15 years of protecting sensitive data and controlling end user access to it as it is stored and transferred between parties and systems globally.

Technologies: Teradata Database

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Administering security in multi-model environments can be challenging. Each data store comes with its own security solution that has to be understood, administered, maintained, and monitored. Accelerating adoption of the cloud requires additional security measures to make sure the data stored outside our premises cannot be compromised.

Protegrity proposes a pioneering approach to data security: a data-centric uniform policy that is deployed on all endpoints through our flexible and all-encompassing set of protectors. In this webinar you will learn how to reduce the cost and complexity of your security architecture while maximizing the return on your data-driven investments.

Technologies: REST API, Java, MongoDB

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Cloud is the new default: according to IDG 9 out of 10 companies have already moved at least some of their apps or infrastructure to the cloud. At the center of cloud security lies the shared-responsibility model: while the solution provider manages security of the cloud, security in the cloud is the responsibility of the customer.

In this session we discuss best practices in ensuring your sensitive assets are protected in your SaaS, PaaS, IaaS, and Hybrid Cloud architectures.

Technologies: IaaS, PaaS, SaaS

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Cloud is the new default: according to IDG 9 out of 10 companies have already moved at least some of their apps or infrastructure to the cloud. At the center of cloud security lies the shared-responsibility model: while the solution provider manages security of the cloud, security in the cloud is the responsibility of the customer. In this session we demonstrate data protection in a variety of Cloud technologies: SaaS applications, Cloud file shares, and AWS S3 buckets.

Technologies: Salesforce, OneDrive, Amazon S3

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Corporate data architectures constantly evolve. In ideal world, this evolution is organic and streamlined. In real world, this process involves ad hoc development, poor or no documentation, and results in redundant copies of data scattered across the enterprise – with little control over what’s out there and who has access to it.

In this session you will learn how to reclaim control over your data sets with Protegrity Insight, our machine learning-powered data discovery tool that scans your enterprise repositories to identify sensitive data assets.

Technologies: Teradata Database

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Reports suggest that security threats in organisations are caused as much by internal sources as external (think hackers). Internal risks are in vast majority associated with human error and foregoing security procedures rather than being a result of mischievous behavior. Untamed access to data assets is a typical vulnerability point in enterprise architectures. This session looks at how to integrate data protection in analytical tools and provide valuable insights to your business users without compromising security.

Technologies: Tableau, Teradata Database, Hive, OneDrive

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The opportunity from opening up datasets is huge, but so are the risks. Organisations find themselves caught in between these two seemingly conflicting strategies: innovating while assuring maximum security of their datasets.

In this session we review key enablers to achieving secure automated data monetization and test data generation.

Technologies: REST API, Java, MongoDB

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Well-defined and maintained metadata can make all the difference in delivering actionable business intelligence and assuring regulatory compliance. Metadata stores are the fundamental enabler to sharing information across the organisation and to partners or customers as part of data monetization initiatives.

In this session we present best practices in combining metadata management with data protection techniques into a bullet-proof data security strategy giving organisations full visibility and control over their datasets.

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While encryption and tokenization share the spotlight as the default methods of data protection, there are many cases where data masking provides a compelling – if only intermediate – alternative. Data redaction on access, permanent protection at rest, and test data generation are each a potential scenario at which data masking can excel. In this webinar, learn all you need to know about data masking and best practices for applying this data protection method in the enterprise.

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Privacy By Design: Balancing Defence -In-Depth with Advanced Analytics

A ‘Defence- in – Depth’ Strategy

Protegrity Cloud Solutions

Protegrity Insight for Discovery Trial

Protegrity Insight for DiscoveryTM, is a purpose-built data discovery, classification and analysis tool that helps you assess and understand your risk exposure by showing you where your sensitive data resides. You can then analyze and address critical compliance metrics; and protect your data at rest, in transit or in use across the entire enterprise and in the cloud.

Protegrity Vaultless Tokenization

Protegrity Vaultless Tokenization (PVT) is a reversible security method that replaces sensitive data with fake data that looks and feels just like the real thing. PVT provides equal or better security than encryption, while retaining the vital usability of data for business processes.

The Hitchhiker’s Guide to Privacy by Design

Hitchhikers Guide to Privacy by Design

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