BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
BigID | November 30, 2022
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.
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.
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.
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.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Komprise | December 14, 2022
Komprise, the leader in analytics-driven unstructured data management and mobility, today announced the availability of Komprise Hypertransfer for Elastic Data Migration, which accelerates data transfer to the cloud while strengthening cloud security. As enterprises migrate more file data to the cloud, IT organizations face many barriers which cause migrations to often take weeks to months. SMB workloads such as user data, electronic design automation (EDA) and other multimedia workloads contain lots of small files and are a particular challenge since the protocol requires many back-and-forth handshakes that increase administrative traffic over the network.
Komprise Hypertransfer optimizes cloud data migration performance by minimizing the WAN roundtrips using dedicated channels to send data, mitigating the SMB protocol issues. According to recent tests performed by Komprise, Hypertransfer improves data transfer rates across the WAN by 25x over other alternatives for SMB datasets with predominantly small files. Komprise already delivers 27 times faster performance for NFS migrations. Komprise Hypertransfer also strengthens security and defense against ransomware by not accessing cloud file storage over the network during data migrations, since data transfers from source to target over private channels.
“Enterprises need to move file data to the cloud to cut costs and unlock strategic value. “With Komprise Hypertransfer you get measurably faster SMB cloud data migrations—shaving weeks off migration timelines while minimizing the chance for errors or data loss. Komprise Hypertransfer makes cloud migrations feasible.”
Kumar Goswami, CEO and co-founder of Komprise
Komprise Elastic Data Migration is a software as a service (SaaS) solution available with the Komprise Intelligent Data Management platform or as a standalone product. Designed to be fast, easy and reliable with elastic scale-out architecture and an analytics-driven approach, it is the market leader in file and object data migrations. Komprise Elastic Data Migration ensures preservation of data integrity with access control propagation and file-level data integrity checks such as SHA-1 and MD5 checks with audit logging.
With the latest release, Komprise administrators also have more flexible migration configuration settings to handle read-only sources and sources with access-time tracking disabled. Additionally, customers can now enable and disable data integrity checks to either ensure data accuracy or improve migration performance.
Komprise is a provider of unstructured data management and mobility software that frees enterprises to easily analyze, mobilize, and monetize the right file and object data across clouds without shackling data to any vendor. With Komprise Intelligent Data Management, you can cut 70% of enterprise storage, backup and cloud costs while making data easily available to cloud-based data lakes and analytics tools.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Clarivate | December 06, 2022
Clarivate Plc, a global leader in providing trusted information and insights to accelerate the pace of innovation, today announced the inclusion of linked specialty pharmacy claims data within real world data solutions. The new U.S. dataset will expand the real world data and analytics offerings from Clarivate. Researchers can access an in-depth view of high-cost medications and valuable insights into the patient's treatment journey in chronic, complex and rare diseases, such as rheumatoid arthritis (e.g., Humira, Enbrel), inflammatory conditions (e.g., Dupixent, Otezla), and cancer (e.g., Xgeva, Xeloda).
Specialty drugs cover at least 20% of the market for chronic, complex and rare diseases. However, conventional claims data warehouses rarely include these high-cost medications, which limits the research potential of numerous diseases. Specialty pharmacy data enables life sciences professionals to:
Track specialty drug uptake and understand market dynamics (market and launch analytics)
Build brand-level patient profiles (brand analytics, patient journey)
Measure non/adherence and switching patterns (persistency and adherence analysis)
Target and appropriately engage prescribers and providers (commercial targeting)
Researchers can leverage this real-world dataset to make evidence-based decisions -- developing successful strategies, optimizing commercial resources, and defining the right activities and messaging to improve patient outcomes.
"Clarivate is committed to supporting customers across the drug, device and diagnostic lifecycle with timely, fit-for-purpose real world data solutions. The addition of integrated, high-capture specialty pharmacy data to the Clarivate portfolio further expands the set of questions that can be answered in the data by reducing fragmentation and bias and providing a more holistic view of the patient."
Matt McKinley, VP, Head of Real World Data & Analytics
The specialty pharmacy data covers over 500 specialty drugs spanning diverse therapeutic areas. The data enables a holistic analysis of complex clinical profiles reducing the need for additional data mapping or processing. The unique data and insights are updated weekly, allowing users to track changes in clinical pathways, product uptake and market dynamics.
Clarivate™ is a global leader in providing solutions to accelerate the pace of innovation. Our bold mission is to help customers solve some of the world's most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of Academia & Government, Life Sciences & Healthcare, Professional Services and Consumer Goods, Manufacturing & technology. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise.