Last fall, we launched the Immuta #DataMarketplace solution to accelerate data product delivery and collaboration. Now, #ImmutaAI is scaling that power for an AI-driven future. ?? At #AWSreInvent, Immuta’s CPO Moritz Plassnig joined Ravit Jain to discuss the growing buzz around data marketplaces — why they’re gaining traction, how to launch them successfully, and how Immuta’s solution streamlines access while maintaining governance. ?? Catch the full discussion: https://lnkd.in/eVKy2WiT? #TheRavitShow
Immuta
软件开发
Boston,Massachusetts 23,166 位关注者
The platform built to put your data to work – quickly and safely.
关于我们
Since 2015, Immuta has given Fortune 500 companies and government agencies around the world the power to put their data to work – faster and more safely than ever before. Our platform delivers data security, governance, and continuous monitoring across complex data ecosystems – de-risking sensitive data at enterprise scale. From BI and analytics, to data marketplaces, AI, and whatever comes next, Immuta accelerates safe data discovery, collaboration, and innovation. For more information, visit immuta.com.
- 网站
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https://www.immuta.com
Immuta的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- Boston,Massachusetts
- 类型
- 私人持股
- 创立
- 2015
- 领域
- Data Privacy、Data Science、Auditing、Compliance、GDPR、CCPA、Compliance、Data Analytics、Cloud Computing 、Data Access、AI、ML、Data Governance、Data Access Governance、Data Engineering、Data Security、Big Data 、Cloud、Cloud-based Security和Multi-Cloud
产品
Immuta
数据监管软件
Immuta's Data Security Platform protects data while also providing fast, secure access. All too often, data and security teams must choose between whether to block progress or leave their data completely exposed. Immuta empowers data teams to safely unlock their data so organizations can get the most value from their cloud investment. Immuta automates the discovery and classification of sensitive data, makes it simple to write and enforce data policies and apply data masking and other privacy enhancing techniques, and continuously monitors data usage for risks such as insider threats. Immuta integrates with the leading cloud data platforms, including Snowflake, Databricks, Starburst, Amazon Redshift, Google BigQuery, and Azure Synapse. With Immuta, customers can speed up data access by 100x, decrease the number of policies required by 93x, and achieve their privacy and compliance goals. Founded in 2015, Immuta is headquartered in Boston, MA.
地点
Immuta员工
动态
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Immuta转发了
Today, Immuta released a new workflow, the auto-domain assignment workflow. Customers want to use our 'domains' functionality because it helps them implement decentralized governance/data mesh; it also is the mechanism to publish data products in our data marketplace. However, it has been manual, which is tedious, and does not take advantage of work done in data catalogs. With this new workflow, it's fully automated. ? ?????????????????? ???????????? ????????????????????. With this new feature, governance users can now decide on a tag, and every data source with that tag will be added to the domain, continuously updating it so that all data sources with the tag are in the domain. ? ???????????????? ???????? ???????? ????????????????. Users can tag their data sources with the data domain in Unity Catalog, Horizon, Alation, etc, and import the tags into Immuta; now, they can automatically assign them to domains. Much more automation work is coming!
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Ready to unlock the full potential of data marketplaces? ?? Join experts from KuppingerCole Analysts AG and Immuta as they explore how data marketplaces can enhance secure data sharing, streamline governance, and foster innovation — all while reducing the risks of data breaches and unauthorized exposure. Register now: https://lnkd.in/ecnM8w7A
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Looking to streamline data access at scale? Join our webinar to learn how Immuta AI enhances policy enforcement, simplifies the discovery of data products, and enables faster, more intuitive access for data consumers. ?? March 26th at 12:00pm ET / 9:00am PT ??? Matt Vogt, VP, Global Solution Architecture, Immuta ?? Register: https://lnkd.in/dKzDacTr #datagovernance #AI #datasharing #webinar #datagovernors
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Great food and great company! ?? Every Wednesday this month, #TeamImmuta has been enjoying lunch from a different women-owned restaurant. Last week’s pick: Blunch in Boston! It’s been a wonderful way to enjoy time together while supporting women-owned businesses this #WomensHistoryMonth. #LifeatImmuta
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It’s great to see #ImmutaAI making headlines! ???? Tap through to see what the industry is saying, and learn more about our recent release here: https://lnkd.in/e2arVzWh BigDATAwire #DBTA #ImmutaAI #DataGovernance #AI #ImmutaCopilot
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Stop wasting time on manual policy writing. ??? With #ImmutaCopilot, governance teams can write policies in plain English, and AI will: ?? Translate intent into enforceable policies. ??? Auto-map user and data metadata. ? Eliminate the guesswork from access control. Faster, smarter, and effortless governance. ?? Learn how it works: https://lnkd.in/eSy_xpTF #ImmutaAI
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Immuta转发了
We are innovating quickly within the Immuta Data Marketplace. We're making data provisioning as fast as possible for enterprises. At the center of that process is one collective mind for governance teams. So much of how they make decisions is based on historical context. But there is no system of record of who got access to what and, more importantly, who was denied and why. Because of this gap, we added historical approvals and denials of data access. Data consumers use the Immuta Marketplace app to quickly discover and request access to published data products. Data stewards receive the requests and approve or deny access (if access approval is required). When a data steward is making a determination on a request for access, we now show the last 5 approvals and denials. This helps data stewards to make an accurate decision, because they can see the prior decisions and the reasoning behind them. This makes it easier for Data Custodians/Stewards to approve/deny access because they can immediately see the context of what they approved/denied before. It seems simple, but it's a huge gap for our customers.
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"When it comes to enterprise use of AI, enterprises will not build their own foundation models.?They will leverage 3rd parties to build their own AI apps and agents.?This is where the upside?of agentic AI exists — corporations can quickly build tailored agents for their needs vs generic horizontal use cases.?But, this is also a massive risk.?It potentially means allowing all users, human and non-human, to get access to converged data and exposing it to 3rd party vendors.?It will happen, so it's just a matter of ensuring data is controlled and monitored — this is a scale problem but very solvable if data offices and security offices work together through scalable, well defined workflows." At?#HumanX,?Matthew Carroll, our founder and CEO,?sat?down with?Sadie Creese,?Professor of Cybersecurity at University of Oxford, and?Ben Moe, Founder & CEO at Frame, to explore security within AI, the risks of IP theft and the new world on non-human agents operating on enterprise data. Here are some of the highlights: ??Data is at the center of the agentic architecture - the first series of agents will be to work within SaaS apps, but the next wave will be on troves of warehoused data.?There must be a consistent interface to do so, we really like the?Model Context Protocol: https://lnkd.in/grPMihv7 ? Agentic identity management – access rights start with identity.?That is no different when it comes to non-human identities.?Organizations need to invest how agents will authenticate and establish?attributes for access rights via Non-Human Identity Governance. ??Invest in a data?access and provisioning platform that can horizontally?control data access for human?and non-humans, across all data systems.? AI will only become accessible to everyone once it's clear how to provision?access in an intelligent, scalable, and governed manner.?? #HumanX2025 HumanX
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Empowered women power women. ?? In honor of #WomensHistoryMonth, we asked our team, "What’s the most empowering lesson you’ve learned from a woman in your career, and how do you carry that forward?" Featuring insights from: ?? Samantha Coburn, Marketing Operations Manager ?? Lynnice Wolf, VP, Corporate Marketing ?? Kenlee Présumé, Sr. UX Designer ?? Yen Thieu, SHRM-CP, Staff Global People Partner ?? Amanda Beatty, CPA, SVP, Finance Tap through to read their thoughts, and join the conversation: What’s the best lesson a woman has taught you in your career? Drop it in the comments! ??