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.
- How to Monetize Your Data with Compliance Confidence
Do concerns about data protection hinder your brand’s data monetizion ambitions? Join this Protegrity webinar to learn 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. Register
- Securing Data in NoSQL
NoSQL databases ubiquitous in modern e-commerce environments are notorious for their security vulnerabilities. Join this Protegrity webinar to learn how to reduce attack surfaces, threat vectors and risk of unauthorized access to valuable, sensitive and regulated information, regardless of where it resides. In this session we will show how a data-centric protection approach maximizes the return on your data-driven investments and key-value store deployments. Register
- Data Security for AWS and Azure: An In-Depth Look
As more and more companies are looking to lift and shift their mission-critical workloads to the cloud, data security becomes a top consideration. Creating a security strategy for your cloud deployments can be complex. On one hand there are challenges presented by compliance, data governance, and emerging technology can create a conflicting and shifting front. On the other, integrating the native security controls available in cloud platforms with other on-premise controls can create challenges that can be difficult to manage and create vulnerabilities due to the way they’re implemented. Register
- Actionable Business Insights with Maximum Security
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. Secure data management entails protecting data at every layer of the enterprise architecture: as it’s ingested, stored, and accessed. Register
- Protegrity Insight: Reduce your Data Breach Exposure with Machine Learning
Corporate data architectures constantly evolve: new business, analytical, or technical requirements inevitably come up; new users and applications have to be accommodated as they feed on the EDW and produce data; acquisitions, mergers, and changes in the development team further add unforeseen complexity. In ideal world, this evolution is organic, and streamlined. In the real world, this process involve a lot of 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. The growing adoption of polyglot architectures and data lakes only amplifies the problem. As sensitive data can reside anywhere, data leaks become common place. Register
- Protegrity + Presto: A Secure Distributed SQL Solution
Distributed SQL solutions came to the rescue as complex polyglot architectures became common place in modern enterprises. Nowadays, data can reside about anywhere: NFS, EDW, Hadoop, AWS, or any of many NoSQL solutions. With distributed SQL the analysis of these datasets is made easy as Data analysts can use their SQL skills, regardless of the underlying technology. Register
- Test Data Generation and Automated Data Monetization
The opportunity from opening up datasets is huge, but so are the risks. A possible data breach can cost a company its reputation and market share – as we saw happen to Target and Facebook. On the other hand, few data-driven companies would like to pass on the opportunity of data monetization. Organisations find themselves caught in between these two seemingly conflicting strategies: innovating while assuring maximum security of their datasets. Test data generation is another potential impediment to innovation, if done carelessly. Test systems are a notorious vulnerability point in enterprise architectures as the data is shared in the clear between development teams and data scientists. The only way to empower these teams and ensure secure operations is to protect test data sets. Register
- Best Practices for Integrating with Metadata Management Tools
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. Enterprise metadata management together with data protection techniques compose a bullet-proof data security strategy giving organisations full visibility and control over their datasets. Register
- Introduction to Protegrity
In this session we will talk about how, with the help of Protegrity, 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.
- Unlock your Big Data Potential and Stop Worrying about Security: Part 1
In this session, we will give you an overview of Protegrity’s capabilities in Big Data environments, share our best practices in protecting Personally Identifiable Information, and demonstrate how Protegrity can be utilised on Cloudera’s Distribution of Apache Hadoop (CDH).
- Unlock your Big Data Potential and Stop Worrying about Security: Part 2
Continuing from Part 1, we will continue to give you an overview of Protegrity’s capabilities in Big Data environments, share our best practices in protecting Personally Identifiable Information, and demonstrate how Protegrity can be utilized on Cloudera’s Distribution of Apache Hadoop (CDH).
- How to Build Analytical Models Using Protected Data
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. In this session we will share our expertise on protecting sensitive data while preserving its value in big data environments like Apache, Cloudera and more.
WEBINAR SERIES SCHEDULE
Wednesday 22nd August @ 16:00 Singapore
How to Monetize Your Data with Compliance Confidence
Wednesday 5th September @ 16:00 Singapore
Securing Data in NoSQL
Wednesday 3rd October @ 16:00 Singapore
Data Security for AWS and Azure: An In-Depth Look
Wednesday 17th October @ 16:00 Singapore
Actionable Business Insights with Maximum Security
Wednesday 31st October @ 16:00 Singapore
Protegrity Insight: Reduce your Data Breach Exposure with Machine Learning
Wednesday 14th November @ 16:00 Singapore
Protegrity + Presto: A Secure Distributed SQL Solution
Wednesday 28th November @ 16:00 Singapore
Test Data Generation and Automated Data Monetization
Wednesday 12th December @ 16:00 Singapore
Best Practices for Integrating with Metadata Management Tools
Introduction to Protegrity
View the Recording
Unlock your Big Data Potential and Stop Worrying about Security: Part 1
Unlock your Big Data Potential and Stop Worrying about Security: Part 2
How to Build Analytical Models Using Protected Data
Data Security as a Business Enabler – Not a Ball and Chain
Learn how global Protegrity customers are applying data-centric protection to leading data warehouses, data lakes, and other large repositories to meet the strictest security requirements while maintaining the freedom to use sensitive data. Learn practical ways to implement fine-grained data protection and what is takes to get the job done.
Protegrity Gateway Trial
The Protegrity Cloud and Data Security Gateways make it easy to secure any sensitive data as it passes over the network. These gateways intercept standard application-layer protocols, scan the protocol payloads for sensitive content, and protect or unprotect extracted sensitive data on the wire, based on the rules defined.