Datanami

FREMONT, Calif., June 6, 2017 — Dataguise, a leader in sensitive data governance, today announced that the company’s data security and compliance platform, DgSecure, has been recognized as the Security Product of the Year in the 2017 DCS Awards. Presented by Data Centre Solutions Magazine, the awards identify leading products and services that power today’s enterprise environments. During the judging process, Dataguise received top marks in two categories to receive finalist placement and was then voted Security Product of the Year, beating out an impressive list of competitors for the title.

The Data Centre Solutions Awards acknowledge the successful delivery of products and services by companies and teams that have made a significant contribution to IT administrators. In the 2017 award competition, Dataguise DgSecure won Security Product of the Year, recognizing DgSecure as the industry’s best software platform to protect sensitive information. DgSecure gained attention by helping organizations meet compliance mandates and prepare for new regulations, such as the General Data Protection Regulation (GDPR), to ensure business continuity and the avoidance of severe penalties. The powerful software detects, protects, audits, and monitors sensitive data in real time across all enterprise data repositories, both on premises and in the cloud — all from a single platform.

The requirement for successful organizations to maintain a constant state of compliance with current and new regulations requires intelligent human capital and the right technology resources. As big data volumes grow, cloud deployments expand, and an increasing number of individuals within an organization access more data for greater insights, the threat of a data security breach also increases. In this new environment, sensitive data will be entering and leaving the enterprise on an ongoing basis, compelling security and compliance officers to make sure they can effectively secure and monitor their organization’s sensitive data in real-time.

Dataguise is the only vendor in its category to provide end-to-end sensitive data security, compliance, and governance to help address the data privacy requirements of the General Data Protection Regulation (GDPR), which will go into effect on May 25, 2018. Because of its ability to scale across a nearly unlimited range of structured, unstructured, and semi-structured data repositories, the platform is ideal for enterprise compliance with the majority of data privacy mandates, including the Federal Trade Commission Act (15 U.S.C. §§41-58) (FTC Act), Financial Services Modernization Act (Gramm-Leach-Bliley Act (GLB)) (15 U.S.C. §§6801-6827), Health Insurance Portability and Accountability Act (HIPAA) (42 U.S.C. §1301 et seq.), Fair Credit Reporting Act (15 U.S.C. §1681), and many others.

“Protecting enterprises against the growing list of threats to data security and compliance is our number one mission. We are grateful to Data Centre Solutions magazine for acknowledging the value that we provide and appreciate the receipt of this prestigious award,” said JT Sison, VP, Marketing and Business Development for Dataguise. “With new threats emerging on an almost weekly basis, we are proud to be at the forefront of an industry focused on preventing the exposure of sensitive data and helping organizations comply with today’s rigorous compliance mandates.”

To view the award placement of Dataguise and other DCS Award winners, please visit:
http://www.dcsawards.com/winners2017.php.

Learn more about Dataguise DgSecure’s support for GDPR compliance by visiting https://www.dataguise.com/general-data-protection-regulation-gdpr-compliance/.

About Dataguise

Dataguise gives data-driven enterprises a simple, powerful solution for global sensitive data governance. DgSecure by Dataguise precisely detects, protects, audits, and monitors sensitive data across the enterprise, on premises and in the cloud. Delivering a single, dashboard view of sensitive data security, policies, access, and trends, DgSecure gives IT and business leaders the insights they need to manage risk and compliance while maximizing the value of information assets. The company is proud to secure the data of many Fortune 500 companies committed to responsible data stewardship. To learn more, visit: www.dataguise.com.

FREMONT, Calif., May 24, 2017 — Dataguise today highlighted the company’s unique approach to addressing the European Union’s General Data Protection Regulation (GDPR) compliance challenges, as well as its inclusion in a recent report by Gartner titled, Market Guide for Data-Centric Audit and Protection. Organizations now have exactly 12 months to comply with the data privacy requirements of the GDPR, which applies to any company that controls or processes the personal data of European Union (EU) citizens — regardless of that company’s physical geographic location — and brings potential fines for non-compliance of up to EUR 20 million or 4% of the violating company’s annual revenue, whichever is greater.

In the recent report by Gartner, the firm states, “Data-centric audit and protection (DCAP) vendors are rapidly adding capabilities organically and through acquisition, especially in response to increased data thefts and rapidly changing compliance landscape (such as the new General Data Protection Regulation [GDPR] for Europe, due in 2018). Only a few vendors have already achieved broad coverage both on-premises and in the cloud.”

In the Market Guide, Dataguise was included among many as a Representative Vendor with capabilities to support GDPR initiatives, but was the only vendor listed as providing a full range of data-centric auditing and protection capabilities. According to Gartner, this includes simple monitoring and alerting, the ability to integrate policies across all data silos covered, data classification of structured and unstructured information, integrated data discovery of both structured and unstructured data, application user access control, data protection policy enforcement, and behavioral analytics to reduce both false positives and false negatives. The report provides a number of market recommendations to help in the selection of the appropriate data governance solution in supporting organizational needs.

GDPR, which was passed to strengthen and unify data protection for all individuals within the EU, requires organizations to take technical and organizational measures in the orchestration of industry-standard information security frameworks. As a result, many organizations will require important technology upgrades to help them meet such requirements. Dataguise is the only provider of sensitive data governance solutions to deliver end-to-end protection to assist with the GDPR and other regulatory compliance requirements — complete with detection of sensitive elements, visibility into entitlements, protection in the form of masking and encryption combined with RBAC-decryption, and monitoring of sensitive data access by users. Dataguise DgSecure provides this functionality for sensitive data on premises and in the cloud, without requiring customers to write a single line of code.

“It is critical that enterprises operating in the EU establish a comprehensive sensitive data governance approach to accelerate compliance with this new regulation,” said Manmeet Singh, CEO, Dataguise. “DgSecure is one of the few data security and compliance platforms capable of operating seamlessly across a broad range of IT environments on-premises and in the cloud. This flexibility allows individual business units, sharing a common data source, to set their own data access policies while maintaining centralized policy control and/or decentralized control with broad policy guidance from a central entity. The solution will play a critical role for global organizations determined to maintain the highest levels of GDPR compliance.”

Learn more about Dataguise DgSecure’s support for GDPR compliance by visiting http://www.dataguise.com/general-data-protection-regulation-gdpr-compliance/.

To access the Market Guide for Data-Centric Audit and Protection, please visit Gartner at:
http://gtnr.it/2qb06cv

About Dataguise

SAN JOSE, Calif., March 15, 2017 — Dataguise, a leader in sensitive data governance, today announced that DgSecure now provides industry-first sensitive data monitoring and masking in Apache Hive. This latest release of DgSecure (version 6.0.5) now also offers: sensitive data monitoring for MapR, Oracle database, and Teradata; Cloudera Navigator integration for Hive agent results; structured encryption and decryption for European languages; and an enhanced REST API for multi-cloud service interoperability, in addition to on-premises functionality. Dataguise will showcase its sensitive data governance software in booth 1329 at the Strata + Hadoop World conference in San Jose, March 14-17, 2017.

With support for sensitive data monitoring and masking in Apache Hive, Dataguise marks an industry-first for this popular data warehousing environment. Hive environments hold large datasets stored in Hadoop’s HDFS and compatible file systems such as the MapR-FS filesystem. DgSecure can help organizations identify potential data breaches of sensitive information in minutes, not months, allowing IT security teams to mitigate business risk and disruption. Hive administrators who implement DgSecure have full access to sensitive data monitoring and masking features, which means that organizations can do with their data what could not be done in the past due to security concerns.

With support for cloud-based storage repositories, including Microsoft Azure databases, Amazon S3, and Google Cloud Storage (GCS), DgSecure version 6.0.5 now includes an enhanced REST API for tighter integration with cloud applications, services, and analytics solutions. The new API further builds upon DgSecure’s support for public cloud infrastructure, making it the most comprehensive sensitive data governance solution for both on-premises and multi-cloud environments. Today’s product updates empower organizations that are dependent on highly scalable data platforms to improve operational insights, financial forecasting, customer analytics, and business optimization.

Strata + Hadoop World is the largest conference of its kind with sessions and tracks that reflect the challenges that have emerged in data-driven computing—including security. With threat levels rising both inside and outside of organizations, enterprises need sophisticated solutions to better understand their sensitive information – including where it is located, whether it is protected or exposed, and who has access to it.

“We continue to move sensitive data governance forward by partnering with and supporting world-leading distributions of Apache Hadoop,” said JT Sison, Vice President, Marketing and Business Development for Dataguise. “Because data compliance is critical for any enterprise that accesses broad stores of data for business insight, integration with Hive is an important enhancement of our software. We welcome attendees at Strata + Hadoop World to experience the solution first-hand.”

For information on how to manage sensitive data in the cloud with confidence, download a new eBook from Dataguise on the subject at http://www2.dataguise.com/l/74402/2016-08-09/5ytl9f.

FREMONT, Calif., Jan. 26 — Dataguise, a leader in sensitive data governance, announced an educational webinar focused on the European Union’s GDPR data handling regulation which is intended to provide greater uniformity to sensitive data protection across the EU and better protect personal data processed for non-personal purposes. The webinar, scheduled for January 31, 2017 at 10 am GMT, will feature data security and compliance experts from both Dataguise and UK-based WHISHWORKS.

In May of 2018, the newly signed GDPR mandate comes into effect throughout the European Union. Organisations found in violation of these regulations are subject to severe financial penalties, as high as 4% of annual revenue. To support CIOs, CDOs, and IT security professionals in addressing GDPR, Dataguise is teaming with WHISHWORKS, a global leader in IT services and consulting, to educate those impacted by this mandate.

As part of the webinar, participants will learn how to free their businesses from GDPR constraints and unlock the power of data, one of the most powerful assets possessed by an organisation. Attendees will be educated on GDPR and how it can impact operations and be made aware of technical remedies to the requirements imposed. The imparted knowledge will include the empowerment of IT administrators by providing visibility into data and understanding which data is sensitive and what actions can lead to compliance failure. Strategies and tactics for protecting data that has been determined to be sensitive will also be reviewed.

GDPR Webinar Highlights:

WHO: Paul Capobianco, Principal Sales Engineer of Dataguise and Tony Ward, Head of Big Data Practice at WHISHWORKS
WHAT: Live Webinar: Understanding General Data Protection Regulation (GDPR) and Strategies for Compliance
WHEN: January 31, 2017 at 10 am GMT/ 3:30 pm IST/ 2 am PST
WHERE: Free registration available to all attendees at: http://www.dataguise.com/general-data-protection-regulation-gdpr/

“The impending reality of GDPR stresses the importance of data governance-now more than ever,” said Tony Ward. “Data management practices must better protect personal information, and anyone with insight into customer data must have the proper documentation and policies in place to prove compliance. In this webinar we take participants on a journey through the new GDPR regulations and give guidance on compliance.”

“When a person whose data was in commercial possession can prove damages resulting from an infringement of GDPR regulations, they have the right to seek restitution from the data controller and/or processor. Non-compliance penalties and administrative fines imposed because of violations can be substantial,” said JT Sison, VP, Marketing and Business Development. “Alongside WHISHWORKS, we look forward to providing our insights on GDPR and how the appropriate end-to-end security and compliance solution can provide maximum assurance with minimal complexity and cost.”

To register for this webinar, please visit:
http://www.dataguise.com/general-data-protection-regulation-gdpr/

About Dataguise

Dataguise gives data-driven enterprises a simple, powerful solution for global sensitive data governance. DgSecure by Dataguise precisely detects, protects, audits, and monitors sensitive data across the enterprise, on premises and in the cloud. Delivering a single, dashboard view of sensitive data security, policies, access, and trends, DgSecure gives IT and business leaders the insights they need to manage risk and compliance while maximising the value of information assets. The company is proud to secure the data of many Fortune 500 companies committed to responsible data stewardship. To learn more, visit: www.dataguise.com

About WHISHWORKS

WHISHWORKS is a global IT services and consulting company focused on providing systems integration and Big Data solutions to enterprise organisations. The company helps businesses improve performance, profitability, intelligence and security.

For all the good that big data can bring your company, it also introduces certain risks. Thanks to a growing awareness about the importance of cybersecurity as a result of recent high-profile breaches, businesses will have a harder time ignoring these risks in 2017, technology executives say.

While security professionals have been sounding the alarm over too-lax security policies for years, those calls have largely fallen on deaf ears at the c-level—in the C-suite as well as among consumers. However, the wider population was treated to a wakeup call about the troubling state of cybersecurity during the 2016 political campaign season.

For starters, American intelligence agencies say a group of Russian hackers known as “Fancy Bear” compromised servers owned by the Democratic Party and released information in an attempt to influence the election. And last month, Chinese hackers, perhaps those affiliated with the community government’s infamous PLA Unit 61398, are accused of targeting a US aircraft carrier in an attempt to steal data. American companies and government agencies have been fighting cyberwars for years, and now the secret is out.

The premise of this war is simple. If you find data valuable, then it’s likely somebody else will find it valuable too. Raw data is essentially a commodity today that organizations of all stripes can buy, sell, and trade on legitimate and black markets. But the digital nature of this commodity is what makes it so potentially dangerous. While physical commodities like wheat and coal are shipped via supertankers, trucks, and airplanes, data moves easily over the Internet.

Hardening Hadoop
Signs point to a growing awareness of the vulnerability of computer systems, storage, and networks, among general consumers as well as technology leaders charged with ensuring the safety of applications and data. Whether your organization stores data on relational or NoSQL databases, distributed or object-based file systems, the security of that data will likely be scrutinized this year like never before.

Hadoop—which was originally developed without built-in security controls– will definitely be getting some attention this year, according to Balaji Thiagarajan, group vice president of big data at Oracle.

“Hadoop security is no longer optional,” Thiagarajan says. “Hadoop deployments and use cases are no longer predominantly experimental. Increasingly, they’re business-critical to organizations like yours. As such, Hadoop security is non-optional. You can expect to deploy multilevel security solutions for your big data projects in the future.”

While the Hadoop community is making fast progress in retrofitting the big data platform with security capabilities via open source projects like Apache Sentry, Apache Ranger, Project Rhino—as well as through proprietary projects like Cloudera Manager and vendors like Zaloni, Dataguise, Zettaset, and others—additional care must be taken by the Hadoop user to ensure the data is used in a secure manner.

“Security concerns will force enterprises to take a second look at their data lake initiatives,” says Steve Wilkes, co-founder and CTO at real-time analytics provider Striim. “Current practices that dump raw log files with unknown and potentially sensitive information into Hadoop will be replaced by systematic data classification, encryption, and obfuscation of all long-term data storage.”

FOREST HILL, Md., Jan. 10 — The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache Eagle has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project’s community and products have been well-governed under the ASF’s meritocratic process and principles.

Apache Eagle is an Open Source monitoring and alerting solution for instantly identifying security and performance issues on Big Data platforms such as Apache Hadoop, Apache Spark, and more.

“We are proud to complete the incubation process and graduate as an Apache Top-Level Project,” said Edward Zhang, Vice President of Apache Eagle. “The community is actively improving product coverage for analyzing various performance and security issues in large Hadoop clusters.”

Eagle was first developed at eBay to solve the monitoring problem for a large scale Hadoop cluster. The eBay team soon realized it would be useful to the whole community, and submitted the project to the Apache Incubator in October 2015. Since then, the project gained a lot of attraction from various developers and organizations for its broad usage scenarios, such as system/service monitoring, application performance monitoring, and security breach detection.

Apache Eagle features include:

Highly extensible – Apache Eagle builds its core framework around the application concept; the application itself includes the logic for monitoring source data collection, pre-processing and normalization. Developers can easily develop out-of-box monitoring applications using Eagle’s application framework, and deploy into Eagle.
Scalable – the project’s fundamental runtime is based on proven Big Data technologies, and applies a scalable core to make it adaptive according to the throughput of the data stream as well as the number of monitored applications.
Real-time – provides state-of-the-art alert engine to identify security breaches and performance issues.
Dynamic – users can freely enable or disable a monitoring application and dynamically change their alert policies without any impact to the underlying runtime.

“It is exciting to see increasing deployments of Apache Eagle, along with great use cases and contributions back to the project,” added Zhang.

“Apache Eagle is a highly scalable and extensible technology platform to support the ever growing needs of intelligent monitoring and alerting in a massively distributed computing environment,” said Debashis Saha, CTO and EVP at Jiff Inc. “As the founding executive sponsor of this project at eBay, I am proud to see the community continue to expand the capabilities by supporting complex and diverse use cases for monitoring in security, infrastructure, networking and distributed services in Apache Eagle. Congratulations to the team and the community in graduating to a Apache top level project.”

“As a leader in data-centric security with a focus on cloud and Big Data technologies, Dataguise is proud to be part of the Eagle committers group. DgSecure Monitor, our sensitivity-aware monitoring product, uses Apache Eagle as the core engine,” said Subra Ramesh, VP of Products and Engineering at Dataguise Inc. “Apache Eagle’s flexible architecture, proven scalability, and cutting-edge design, have enabled DgSecure Monitor to be a highly responsive and scalable solution for both on-premises and cloud deployments. We look forward to continued involvement with Eagle as it has now become a top-level Apache project.”

“We have been using Apache Eagle for about a year, and are very happy to see it graduate to a Top-Level Project. Apache Eagle and its low latency real-time alert engine can help us easily identify security and performance issues instantly on Hadoop platform,” said Anson Zhong, Senior Vice President of Tech Department at YHD.com. “In addition, Eagle’s architecture is highly extensible. We are looking forward to using it in real time risk management system.”

“Apache Eagle is a great monitoring and alerting solution designed for large-scale distributed environment,” said Chad Chun, Director of Analytics Data Infrastructure at eBay. “It was originally intended for security monitoring and quickly become a generic solution for allowing domain experts to create their own monitoring applications on top of Eagle. This is a wonderful design for easily leveraging the power of community to create and share applications. Looking forward to the tremendous adoption in the industry.”

“The Apache Eagle community has done a tremendous job throughout the incubation process, and I’m thrilled to see it graduate to a Top-Level Project,” said P. Taylor Goetz, ASF Member and Apache Eagle Project Mangement Committee member. “Eagle fills a very important role in providing top-notch security and performance monitoring and alerting for Big Data deployments. The Eagle project has built a robust, sustainable community and demonstrated a firm understanding of the Apache Way. I look forward to further innovation as the Eagle community marks this important milestone.”

“It is great to see Apache Eagle graduate to a Top Level Project within a year of time,” said Seshu Adunuthula, Senior Director of Data Platforms at eBay. “It is a great product with unique position to fill the gap of monitoring and alerting large-scale distributed computing environment which is well architected to allow communities to easily implement monitoring and alerting applications on different technical domains such as networking and database clusters. I would love to see the community to grow fast in the next coming years!”

The project welcomes contributions and community participation through mailing lists, Slack channel, face-to-face Meetups, and other events.

Availability and Oversight

Apache Eagle software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project’s day-to-day operations, including community development and product releases. For project updates, downloads, documentation, and ways to become involved with Apache Eagle, visit http://eagle.apache.org and @TheApacheEagle.

About the Apache Incubator

The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org.

About The Apache Software Foundation (ASF)

Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server –the world’s most popular Web server software. Through the ASF’s meritocratic process known as “The Apache Way,” more than 620 individual Members and 5,900 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation’s official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, OPDi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF.

LAS VEGAS, Nev., Nov. 30 — Dataguise, a technology leader in secure business execution, today announced that the Dataguise DgSecure solution for global sensitive data governance now supports sensitive data discovery on Amazon Redshift and Amazon RDS, as well as Amazon Simple Storage Service (S3). DgSecure helps data-driven enterprises move to the cloud with confidence by detecting, protecting, auditing, and monitoring sensitive information (e.g., PII, PHI, PCI data) across on-premises and cloud-based environments. With DgSecure, users organization-wide can tap into the data processing power and efficiencies of the AWS cloud to maximize the business value of their information while maintaining total ownership of all known and unknown sensitive data. The company will showcase the solution’s full suite of data security and compliance capabilities in booth 2424 at AWS re:Invent in Las Vegas, November 29 – December 1.

According to International Data Corporation (IDC), “More than 43% of organizations expect that within five years, the majority of their IT capability will be delivered through public cloud services, and that within three years, they will access 78% of IT resources through some form of cloud. New solutions born on the cloud and traditional solutions migrating to the cloud will steadily pull more customers and their data into cloud-based infrastructure.”

Dataguise DgSecure now scans for sensitive information stored on Amazon Redshift, RDS, and S3 and also provides ongoing monitoring of sensitive data in S3 throughout its lifecycle. The solution features transparent, role-based sensitive asset provisioning on the Amazon Elastic Map Reduce (Amazon EMR) platform so that users have access to sensitive data hosted in these environments through DgSecure role-based access policies.

“Many enterprises are moving to the cloud to take advantage of the reliability, scalability and agility provided by AWS,” said JT Sison, VP, Marketing and Business Development, Dataguise. “Dataguise customers leveraging Amazon Redshift, RDS, and S3 can benefit from our new offering and we look forward to sharing our stories of success with the thousands of attendees expected at re:Invent this year.”

During re:Invent 2016, Dataguise will activate its Five-Day Free Trial Program, providing prospective customers with full access to DgSecure software for a limited time. Organizations participating in the program will also receive up to $300 in AWS credits, along with instructions on how to implement DgSecure. For more information about DgSecure on Amazon Web Services, download the data sheet at http://bit.ly/2aTvulJ or http://amzn.to/2bdxGbp.

About Dataguise

Dataguise is the leader in secure business execution, giving data-driven enterprises a simple, powerful solution for global sensitive data governance. DgSecure by Dataguise precisely detects, protects, audits, and monitors sensitive data across the enterprise, on premises and in the cloud. Delivering a single, dashboard view of sensitive data security, policies, access, and trends, DgSecure gives IT and business leaders the insights they need to manage risk and compliance while maximizing the value of information assets. The company is proud to secure the data of many Fortune 500 companies committed to responsible data stewardship. To learn more, visit: www.dataguise.com.

About Dataguise

SAN JOSE, Calif., June 28 — Dataguise, a technology leader in secure business execution, today announced the general availability of Dataguise DgSecure 6.0, the company’s next-generation data-centric security platform. DgSecure 6.0 enables businesses to take complete ownership of sensitive data across all source types within the enterprise, from traditional relational databases to big data platforms, as well as unstructured data.

DgSecure 6.0 delivers a comprehensive monitoring solution for all data source types, allowing users to quickly understand what, where, and how sensitive data is being detected, protected, and accessed across the enterprise. The advanced features in version 6.0 provide all-in-one sensitive data governance, privacy compliance, and risk mitigation for total ownership of sensitive data in all its forms.

DgSecure 6.0 provides for total ownership of sensitive data with new features that include:

Compatibility with all data platforms and source types. This includes structured, semi-structured to completely unstructured, in environments ranging from the Cloud to on-premises computing sources.
Management of all sensitive data life cycle phases, from detection, protection, and monitoring, for total governance.
Support for the widest range of IT and data management frameworks, to enhance the operational experience of data stewards and CISOs.

Dataguise will showcase DgSecure 6.0 at the Hadoop Summit 2016 in San Jose, which will be held June 28-30 at the San Jose McEnery Convention Center. The company invites attendees to visit Dataguise which is located in booth #1508 to learn more about the company’s most advanced data security and compliance solution to date.

While traditional IT monitoring solutions for firewalls, networks, or applications can result in months of analysis before a potential breach is spotted, DgSecure 6.0 is focused solely on safeguarding the truly sensitive data in an organization to quickly detect and protect against real threats. DgSecure 6.0 simplifies creation of data security governance policies using built-in or custom templates, thereby expediting the process. The solution then analyzes actions taken on sensitive data by people, systems, and devices in real time. If a policy violation occurs, the platform generates a precise, real-time alert in response to unauthorized or unusual data access.

“Hortonworks is dedicated to expanding and empowering the big data ecosystem, and accelerating innovation and adoption of Connected Data Platforms,” said Matt Morgan, vice president of product and alliance marketing, Hortonworks. “We congratulate Dataguise on the launch of Dataguise DgSecure 6.0 and look forward to working with them to enhance the next-generation data architecture.”

“Many organizations lack a proper framework to accurately detect, protect, and monitor their confidential data in real-time,” said Manmeet Singh, CEO, Dataguise. “DgSecure 6.0 is our answer to enterprise-wide security and compliance across an organization’s entire data infrastructure. With the newest release, customers gain the insight and protection they need to confidently unlock the full potential of their data. We look forward to introducing our latest innovations at the Hadoop Summit this week.”

Availability and Pricing

Priced starting at $2,000 per node, Dataguise DgSecure 6.0 is now available.

About Dataguise

Dataguise is the leader in secure business execution, delivering data-centric security solutions that detect and protect an enterprise’s sensitive data, no matter where it lives or who needs to leverage it. Dataguise solutions free the enterprise from traditional security constraints to support the data-driven organization and maximize the business value of information. DgSecure by Dataguise makes data security painless, delivering a powerful solution that provides the highest level of protection without the need for programming. The company is proud to secure the data of many Fortune 500 companies committed to responsible data stewardship. To learn more about how Dataguise is spearheading the secure data revolution, visit: www.dataguise.com

FREMONT, Calif., Feb. 12 — Dataguise, the leading provider of enterprise-wide data-centric discovery and security solutions to address data breach threats to Big Data and traditional repositories today announced the industry’s first data-centric discovery and security solution to counter the risk of data breaches to NoSQL data stores. Based on customer demand, the first implementation will support Cassandra/Datastax NoSQL deployments, with additional agents for HBASE, Mongo, and others scheduled for 2015.

DgSecure for NoSQL is a data-centric solution that provides organizations with unique sensitive data discovery capabilities, allowing users to locate, identify and manage sensitive data in NoSQL, and then apply dynamic, high performance data protection based on user permissions. The discovery and security solution’s capabilities mitigate the risk of a NoSQL data breach by providing extensive reporting and auditing services, allowing enterprises for the first time to see who is adding, accessing, and attempting to access sensitive data.

“Sensitive data detection and dynamic protection will be vital security services for Apache Cassandra and DataStax deployments in financial services, banking, insurance, and healthcare,” said Aaron Morton, Apache Cassandra Committer, Datastax MVP for Apache Cassandra, and Co-Founder at The Last Pickle. “DgSecure for NoSQL tackles this with an innovative approach to discovery and dynamic data protection through close integration with the Cassandra Query Language API – dramatically reducing the risk of data loss through breach, while preserving the high performance, highly available distributed architecture of Cassandra. “

DgSecure for NoSQL is the first solution of its kind to discover all sensitive data residing in or being written to NoSQL to support enterprises seeking protection of data in these environments against a breach. Using intuitive, user friendly templates, organizations can select specific sensitive elements for policy-based protection of credit cards, social security numbers, names, addresses, phone numbers, medical data, etc. Once these elements are discovered and catalogued, DgSecure for NoSQL provides fast dynamic protection of sensitive data through an intercept agent that can provide complete access to authorized users and create masked, de-identified, or encrypted values for protecting data as it is being written out to the users and applications that access data in NoSQL data stores. This dynamic protection allows enterprises to maintain close control over sensitive data access, with zero compromise and full preservation of the high speed, low latency write/read operations and high scalability/replication properties of NoSQL.

“Thousands of firms are working on big data projects, from small startups to large enterprises. New Big Data technologies enable any company to collect, manage, and analyze incredibly large data sets,” said Adrian Lane, analyst and CTO, Securosis. “As these systems become more common, the repositories are increasingly likely to contain sensitive data. Only after companies find themselves reliant on big data do they ask how to secure it.”

Unlike relational databases, which are generally not designed to cope with the scale and agility challenges that face modern applications or able to take advantage of the cheap storage and processing power available today, NoSQL addresses both concerns while offering simplicity of design, horizontal scaling, and finer control over availability. NoSQL encompasses a wide variety of database technologies that were developed in response to a rise in data stored about users, objects and products, the frequency of data access, as well as performance and processing needs. Now with the adoption of NoSQL on the rise, organizations must be able to locate and protect sensitive data in these environments for security and compliance purposes.

Business benefits of this solution include:

– Sensitive data discovery for NoSQL: This is an industry-first capability that allows administrators to detect all sensitive data (credit cards, social security numbers, names, addresses, etc.) stored in NoSQL and proactively discover all new sensitive data being written to the database.

– Sensitive data protection: Protect sensitive data access for all applications via Dataguise’s Dynamic Data Protection (DDP) for NoSQL. Sensitive data is passed in the clear for authorized users and dynamically blocked and de-identified with masking or AES format-preserving encryption for users without authorization rights to that data.

– Sensitive data audit in NoSQL: For the first time, authorized administrators can see all sensitive data requests for NoSQL in one location. This includes who is requesting sensitive data, how much, and which users were granted access.

“Due to their increasing popularity for high profile environments, most NoSQL deployments are subject to security attacks. As these platforms support enterprise production applications, the advent of data-centric security solutions will be critical to protecting the massive amounts of data being stored,” said Nik Rouda, senior analyst, Enterprise Strategy Group. “Dataguise has been a vanguard of securing Big Data for some time and the company’s NoSQL security solution moves the needle forward. Their data-centric approach balances performance and security to ensure authorized users gain access to privacy data without the unnecessary latency that has plagued other solutions.”

DgSecure for NoSQL is an enterprise-grade solution which satisfies important requirements for regulated industries, thereby enabling data privacy and compliance operations. Key aspects of the solution include policy management, sensitive data discovery, authorization management, automated deployment and management, granular reporting, cloud compatibility and a highly scalable and performant architecture.

“With DgSecure for NoSQL we are addressing two fundamental concerns in the provisioning of data-centric security for these environments – the identification of sensitive data and the locking or encrypting of data at performance levels that are acceptable for operations,” said Jeremy Stieglitz, vice president, products, Dataguise. “We have taken the core of our discovery engine and built a new discovery agent for NoSQL. Utilizing native Cassandra APIs, DgSecure reads, parses and secures all sensitive data, a combined process that takes NoSQL data protection to the next level.”

http://www.datanami.com/this-just-in/dataguise-introduces-dgsecure-nosql/