BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Wiz and BigID Expand Partnership to Extend Visibility and Control for Enterprise Data to Prevent Breaches

BigID | November 30, 2022 | Read time : 03:00 min

Wiz and BigID Expand Partnership to Extend Visibility and Control
BigID, the leading data platform that enables organizations to know their enterprise data and take action for privacy, security, compliance, and governance, today announced an expanded partnership with Wiz, the leading cloud security platform that rapidly enables customers to find and remove critical cloud risks. Wiz and BigID bring together Cloud-Native Application Protection (CNAPP) and Data Security Posture Management (DSPM) to reduce cloud risk and accelerate cloud security strategies.

The partnership enables customers to continuously monitor for critical data exposure to help prevent breaches. Customers can take a data-driven approach when automating security controls in the cloud: making it easy to prioritize risk management based on deep data insight, with the granularity customers need to both protect data and enable secure analytics.

With this integration, customers can automatically discover their data across their entire data ecosystem, prioritize vulnerable data, and mitigate potential attacks based on recommended best practices and playbooks.

Wiz and BigID accelerate visibility and data protection in the cloud:

  • Automatically discover, identify, and classify their most sensitive and vulnerable data
  • Identify which data stores are exposed to the internet or have other cloud risks like misconfigurations, vulnerabilities, and overly permissive identities, and alert on potential exfiltration paths.
  • Improve their security and compliance posture by prioritizing high risk data, continuously assessing and enforcing security and business policies, and blocking the attack path to sensitive data.

"BigID's deep data discovery and actionable insights empowers customers to proactively protect and govern their structured and unstructured data across the public cloud, SaaS, and data center. "Our partnership with Wiz gives their CNAAP customers deeper, wider and more granular data visibility and control."

Dimitri Sirota, CEO at BigID

"Together with our integration and partnership, customers gain visibility and context to solve a broader set of security use cases such as preventing and investigating data breaches, complying with privacy requirements, enabling secure analytics, deleting duplicate and ROT (redundant, obsolete, and trivial) data and more," said Assaf Rappaport, CEO at Wiz.

About BigID
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources. BigID has been recognized as a leader in data security, compliance, privacy, and governance as CNBC's 2022 top 25 startups for the enterprise, placed #21 on the 2022 Deloitte 500, featured on the Inc 5000 for two years running, and was a 2018 RSA sandbox innovation winner. Learn more at www.bigid.com, and get started for free at www.smallid.com.

About Wiz
Wiz secures everything organizations build and run in the cloud. Founded in 2020, Wiz is the fastest-growing software company in the world, scaling from $1M to $100M ARR in 18 months. Wiz enables hundreds of organizations worldwide, including 30 percent of the Fortune 100, to rapidly identify and remove critical risks in cloud environments. Its customers include Salesforce, Slack, Mars, BMW, Avery Dennison, Priceline, Cushman & Wakefield, DocuSign, Plaid, and Agoda, among others. Wiz is backed by Sequoia, Index Ventures, Insight Partners, Salesforce, Blackstone, Advent, Greenoaks and Aglaé.

Spotlight

Prior to Dataminr Pulse, the bank’s SOC operators had to rely on manual searches to identify potential risks. It was very labor-intensive and highlighted the need for a more automated process In 2021, the bank experienced a loss of nearly $13 million in physical assets due to a series of high-risk events that occurred near its h


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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Precisely Works with AWS to Power Mainframe Modernization for Real-Time Access to Data

Precisely | December 01, 2022

Precisely, the global leader in data integrity, today announced it is working with Amazon Web Services (AWS) on its AWS Mainframe Modernization service. The integration offers real-time replication of mainframe data to AWS leveraging Precisely Connect, allowing customers to securely and efficiently migrate data, as well as access mainframe data on AWS for more powerful analytics. This new scope of work delivers a mainframe modernization solution to the market that allows customers to replicate mainframe data onto AWS with zero downtime. The functionality allows customers to build resilient, high-performance data pipelines that connect data from their mainframe databases to AWS services like Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Simple Storage Service (Amazon S3), Amazon EMR, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Redshift, Snowflake on AWS, and more. By accelerating access to mainframe data on AWS, businesses can get mainframe migration projects done on time and on budget, all while extending the value of mission-critical, and high investment, mainframe systems. The integration solution works within a business’s existing architecture, allowing teams to future-proof solutions and be flexible when introducing new applications and use cases. Customers that have already begun taking advantage of these joint capabilities include AAA Life Insurance: “Our customers rely on us to provide financial protection for their loved ones, and with over 1,500,000 active policies, central to success is real-time access to trusted data across multiple sources. This includes mainframe systems - which are notoriously challenging to integrate effectively,” said Steven Hinzmann, Manager of Application Development at AAA Life Insurance. “Precisely Connect allows us to quickly and easily access vast volumes of historical business and customer data, which is then replicated to the AWS environment where it can be leveraged for advanced analytics. The combination of Precisely’s rich heritage in handling mainframe data with AWS’s cloud platform has been unbeatable for allowing us to innovate and drive the best possible customer experience." “Data is the lifeblood of the digital economy and the pipelines that carry it are essential to a business’s IT infrastructure. “Together with AWS, we can help our customers to maximize their data and investments - unlocking the true potential of their critical data assets to power their business by making critical data assets available for AWS and for advanced analytics.” Eric Yau, Chief Operating Officer at Precisely “AWS and Precisely empower our customers to build trust in their data,” said Bill Platt, General Manager for Migration Services at AWS. “By integrating data from complex mainframe systems directly onto AWS, customers can rely on their data to be the driving force of confident analytics, and ensure they are deriving maximum value from their infrastructure investments.” About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

NFTGo.io Announced Brand Upgrade to Redefine the NFT User Journey

NFTGo.io | November 08, 2022

NFTGo.io, the leading NFT data analytics and trading aggregation platform, has announced a major brand upgrade. A new front end look has been unveiled to align with its mission of empowering NFT users via a seamless interactive experience. NFTGo aims to guide users at every phase of their journey from discovery, analytics and trade to portfolio management. It is now primely positioned as the only independent NFT data analytics and trading aggregator platform after the other major aggregators, Gem and Genie, have been acquired by OpenSea and Uniswap respectively. Unlike a conventional marketplace like OpenSea, buying NFTs through a trading aggregator is akin to purchasing flight tickets via booking.com. The user gets the best offer across all NFT marketplaces and saves up to 70% of the gas fee. The NFT Data Guru In addition to its best-in-class trading aggregation services, NFTGo.io has been a professional data analytics platform since 2021. Along the way, it has helped over 1 million global users research NFT collections, track whale behaviors, filter out wash trading, discover top mints, and make smarter decisions through the suite of data metrics. NFTGo's data API is currently serving over 500 organizations including major marketplaces such as X2Y2 and Looksrare to support their product development. NFTGo.io has also been actively engaged with renowned universities worldwide to provide data for their research purposes, including Tecnológico de Monterrey, as well as blockchain communities at Oregon State University and Cambridge University. "Our marketplace serves hundreds of thousands of users per month and delivering the best service is the key," said TP, founder and CEO of X2Y2. "We are very selective with our partners to provide the most reliable and accurate data in the market. NFTGo.io is our go-to partner for data integration as they are renowned for their rich and advanced NFT metrics." Redefining the New User Journey Lowes, Founder and CEO of NFTGo.io, said: "The current NFT user experience is fragmented. Information is dispersed and users are jumping between different platforms. They may be sourcing for trending NFT topics and new collections on social media, switch over to an Analytics platform to conduct research with analytical tools, and eventually trade on a separate marketplace. There is no platform in the market that provides a holistic and seamless experience to users, allowing them to discover, analyze, trade, track their holdings and portfolio profit and losses in one place. Our brand upgrade is more than a website redesign, but a showcase of how NFTGo.io is redefining the NFT experience through user-centric design, to help them make better decisions." NFTGo.io also has a resourceful ecosystem of investors to support its growth. "We are proud to invest in NFTGo.io as their team aims to be the future gateway of the NFT ecosystem," said Wyatt Lonergan, Principal at Circle Ventures. "The NFTGo.io team are showing their ambitions for changing the current NFT landscape and improving the user experience with their new product features." Lowes also revealed NFTGo's upcoming plan to value-add to its community: "Community is always our priority. We will be inviting our users to the new homepage beta test around mid November and launching a loyalty program to reward our supporters. Details about the program can be expected soon." To date, NFTGo has launched over 20 innovative and handy NFT features including Watchlist, Top Mints, and Top Collections to capture evolving NFT trends driven by a strong community. NFTGo has also brought about a novel Rarity Model, helping users to better gauge the rarity, and thus, the potential value of the individual NFTs. During this upgrade, NFTGo will be launching a Twitter extension to allow users to access and analyze NFT Project's performance directly on Twitter, providing a frictionless transition from web2 to web3. About NFTGo.io NFTGo.io is a leading NFT aggregation platform that enables its community to analyze NFT market data and transact all in one place. NFTGo offers a wide range of powerful tools and features including NFT market analytics, real-time listings, rarity, whale tracking, watchlist, drops calendar, and trading aggregator. It empowers its users to discover, trade, and manage NFT assets, serving 500+ institutional customers, 1,000+ communities, and 1M+ retail users worldwide.

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DATA VISUALIZATION

Opaque Systems, Pioneer in Confidential Computing, Unveils the First Multi-Party Confidential AI and Analytics Platform

Opaque Systems | December 08, 2022

Opaque Systems, the pioneers of secure multi-party analytics and AI for Confidential Computing, today announced the latest advancements in Confidential AI and Analytics with the unveiling of its platform. The Opaque platform, built to unlock use cases in Confidential Computing, is created by the inventors of the popular MC2 open source project which was conceived in the RISELab at UC Berkeley. The Opaque Platform uniquely enables data scientists within and across organizations to securely share data and perform collaborative analytics directly on encrypted data protected by Trusted Execution Environments (TEEs). The platform further accelerates Confidential Computing use cases by enabling data scientists to leverage their existing SQL and Python skills to run analytics and machine learning while working with confidential data, overcoming the data analytics challenges inherent in TEEs due to their strict protection of how data is accessed and used. The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. This combination ensures that the overall computation is secure, fast, and scalable. The MC2 technology and Opaque innovation has already been adopted by several organizations, such as Ant Group, IBM, Scotiabank, and Ericsson.

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BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

MiniTool Rolled out Power Data Recovery 11.4: New Search Box Added

MiniTool Software Limited | December 20, 2022

MiniTool Software Limited has released the new MiniTool Power Data Recovery 11.4, professional data recovery software for Windows. In this new update, MiniTool Software added a new Search box in the scan results interface, improved the disk scanning speed, and fixed the bug that the status displayed is incorrect when selecting files. Added a New Search Box in the Scan Results Interface One big change in MiniTool Power Data Recovery 11.4 is that there is a brand-new search box in the scan results interface. This new search box is located on the top-right side of the scan results interface and it is available when the scanning process ends completely. Usually, a lot of files will appear in the scan results interface after scanning the specified drive or disk. However, finding the needed files from the displayed paths take a lot of effort. To save time, users can enter a file name into the search box to directly locate the target file. Be aware that any extra or missing space in the filename can affect search results. MiniTool Power Data Recovery 11.4 will show a No Result Found prompt if no related file is found. By viewing the upgrade history of MiniTool Power Data Recovery, we can find that MiniTool has been devoted to updating this software interface for a year. Now, this software has been completely revamped, giving users a more flexible user experience. Fixed the Bug that the Status Displayed Is Incorrect when Selecting Files In the scan result interface, the file check box has three states: unselected, all selected, and partially selected. In the previous version of MiniTool Power Data Recovery, a partial selection might appear as a full selection. MiniTool Software has noted this issue and fixed it in MiniTool Power Data Recovery V11.4. This issue will not confuse users anymore. Improved the Disk Scanning Speed to Quickly Find Needed Files Scanning the selected drive or disk takes time. The larger the disk and the more files it has, the longer it will take for MiniTool Power Data Recovery to finish the whole scan. MiniTool Software keeps continuously improving the disk scanning speed and has made big progress in this new update. About MiniTool Power Data Recovery MiniTool Power Data Recovery is a dedicated file recovery tool that can work on all versions of Windows including the latest Windows 11. It can recover lost or deleted files like images, videos, music files, documents, emails, and more from different types of data storage devices. This MiniTool data recovery software can rescue files even when the hard drive is inaccessible, the system crashes, or the files get lost due to a virus attack. About MiniTool Software MiniTool Software Limited is a professional software research and development company, which has more than 10-year history and millions of users all over the world. It devotes itself to the development of data care software like MiniTool Power Data Recovery, MiniTool Partition Wizard, and MiniTool ShadowMaker.

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Spotlight

Prior to Dataminr Pulse, the bank’s SOC operators had to rely on manual searches to identify potential risks. It was very labor-intensive and highlighted the need for a more automated process In 2021, the bank experienced a loss of nearly $13 million in physical assets due to a series of high-risk events that occurred near its h

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