Databricks, a data processing and analytics platform with a strong focus on artificial intelligence (AI) and machine learning (ML), has partnered with Immuta to deliver automated end-to-end data governance for AI, data science, and ML projects.
The partnership is addressing the old self-service dilemma: how does one balance speed and agility with control when a typical organization has hundreds – if not thousands – of policies that vary based on business or functional groups involved, use cases, data types, geographies, technologies, and more.
Immuta, whose mission is to ensure “the legal and ethical use of data,” approaches this from three complementary angles:
The company was founded in 2015 by a team who spent ten years working with the US intelligence community. It is a Series B startup whose investors include Citi, DFJ, Dell Technologies, Daimler, Greycroft, Drive Capital, and others.
Immuta’s automated data governance solution integrates natively with Databricks’ Unified Data Analytics Platform. Its metadata-driven policy orchestration provides users with easy-to-manage, fine-grained end-to-end data governance controls for their data lake so that they can meet the data stewardship requirements of their organization.
As organizations are embarking on – and in some cases expanding – their ML and AI projects, the same old challenge not only persists but becomes more prevalent and acute: data governance.
How do you ensure that you have the right controls in place, that the right people have access to the right data, that the data is secure, that the organization is in compliance with existing regulations, and, more importantly, that you can trust the data? Because if you can’t trust your data, you can’t trust your AI. (Or machine learning, or data analytics output.)
And these challenges are magnified as organizations acquire more data – some of it sensitive – and store it in the same place, whether a warehouse or data lake, thereby increasing the risks.
Meanwhile, governments are tightening regulations and consumers are getting more educated. In addition, privacy watchdogs are pressuring governments and businesses alike to strengthen and enforce data protection laws, implement regulations around algorithmic decision-making systems (i.e. anything that uses ML), and ensure that the business model organizations are respectful of human rights.
(For more information on why this is important, see our earlier note Amnesty International Calls Google and Facebook a Threat to Human Rights.)
As a result, many organizations are slowing down their AI/ML initiatives to reopen, resume, and rejuvenate data governance. Where do you stand with your data governance initiative?
To start with data governance or to optimize it, consult the Info-Tech blueprint Enable Shared Insights With an Effective Data Governance Engine..
To learn what else you need to govern – in addition to data – when deploying AI/ML-powered solutions, reads the CIO Note Are You Ready For AI?
To get a quick introduction to why human rights matter for your business model, watch our two-minute brief Google and Facebook Called a Threat to Human Rights or read our tech note Amnesty International Calls Google and Facebook a Threat to Human Rights.
Data intelligence software vendor Alation has made the move to emphasize data governance amongst its solution offerings to make the data catalog a dynamic platform for “a broad range of data intelligence solutions.”
IT software company HelpSystems has acquired leading data classification software vendors Titus and Boldon James to enhance data security capabilities within its current suite of IT systems.
COVID-19 has changed a great deal about how businesses operate. From a security perspective, however, COVID-19 caught many businesses off guard. The shift from working in the office to working from home has made it difficult for security measures to keep pace. Specifically, how are businesses meant to maintain the same secure networks when their employees are no longer working in the office? Outside of the security of the IT departments, IT and security have a tough time ensuring that patching and vulnerability management remain at the forefront of a business’s priorities.
From employee management through leadership and communication, increased cyber threats, logistics and operations to post-pandemic planning and risk mitigation, the threat landscape has experienced enormous change. These noticeable shifts force us to consider rethinking and retooling how we address risk.
In an interview with Allison Furneaux, VP Marketing at CyberSaint Inc., developers of CyberStrong Integrated Risk Management platform in June 2020, Allison indicated that its focus has been on cybersecurity from the beginning.
LogicGate is a governance, risk and compliance automation platform offered by LogicGate Inc., headquartered in Chicago, that helps organizations to automate their risk processes.
I recently had the opportunity to speak with Jason Rohlf, VP Solutions, Mark Scheinkoenig, VP Commercial Sales, and Emily Figg, VP Marketing about their GRC solution at Onspring to discuss the product audience and upcoming features.
The Department of Justice is looking to acquire a GRC tool for the Office of the CIO within the FBI’s Enterprise Information Security Section.
The International Association of Privacy Professionals (IAPP) has released its 2020 Privacy Tech Vendor report, reviewing key software solution vendors within the space. This year’s report highlighted the recent addition of Data Subject Request (DSR) to the feature categories.