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Cisco addressed vulnerabilities that were exploited to compromise the Webex meetings of the German government. In early May, German media outlet Zeit Online revealed that threat actors exploited vulnerabilities in the German government’s implementation of the Cisco Webex software to access internal meetings.
Enter metadata—a powerful tool that can revolutionize your information governance strategy. Ineffective Search Capabilities : Without additional metadata, searches are limited to file names or basic content, making it difficult to perform targeted searches. The Power of Metadata So, what is metadata?
China-linked BRONZE PRESIDENT group is targeting government officials in Europe, the Middle East, and South America with PlugX malware. Secureworks researchers reported that China-linked APT group BRONZE PRESIDENT conducted a new campaign aimed at government officials in Europe, the Middle East, and South America with the PlugX malware.
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Data Governance Attitudes Are Shifting.
Managing metadata is even harder. So why do I need to care about metadata? What is the value of metadata? Active metadata will help you answer this question. Curious about what active metadata is and how it can help. What is active metadata? Traditional metadata is like a static description of your data.
You’ve been told that your information management project needs governance. Maybe you’ve even formed a governance committee. However, what is governance, anyway? If you’ve been in organizations for a while, you’re likely indoctrinated into the theory of control; however, that’s not what governance is about. The Gauntlet.
Steiger pointed out the company provided metadata and so-called secondary data that could be used by law enforcement and intelligence agencies for surveillance purposes. “Metadata or secondary data that is available must be provided. ” reads the post published by Stieger. Pierluigi Paganini.
The information flow is complicated, and the governance implications are substantial. Every aspect of content flow and collaboration – including Microsoft Teams and its information—must be integral to the organization’s approach to information governance. What is your existing Information Governance strategy?
In a recent episode of Data Citizens Dialogues , Garth Gelbach , Head of Data Governance at Western Governors University (WGU) , described how the university transitioned from fragmented data management to a more structured governance model. Before we had the data governance initiative, it was a scramble for data.
Thankfully, auto-classification and the automatic linking of document types to retention periods are taking information governance out of the hands of individual end users, who always resented the Nick Burns of the world telling them that they should somehow find time to “care” about records management. Revenge of the metadata nerds!
Poland ‘s government announced that it was targeted by an ‘Unprecedented’ series of cyber attacks, hackers hit against institutions and individuals. Mateusz Morawiecki had to provide details about the attacks presenting secret documents related to attacks, as anticipated by government spokesman Piotr Muller.
Wyden called on the US government to order intelligence agencies to stop buying personal data from Americans that has been obtained illegally by data brokers. government should not be funding and legitimizing a shady industry whose flagrant violations of Americans’ privacy are not just unethical, but illegal.”
AI Governance vs. Data Governance: Understanding the Differences and Opportunities Written by In our current rapidly evolving technological landscape, enterprises are collecting, analyzin g, and lev eraging unprecedented amounts of data. YouTube Video: What is AI governance? What is AI Governance? What is AI Governance?
Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.
What is Information Governance, and Why is it Important? There are many benefits to constructing an Information Governance program plan. How to Avoid Information Governance Pitfalls. As a result, there has been a shift in the importance organizations place upon effective Information Governance. Conclusion.
The unsecured storage server was discovered by security expert Greg Pollock from UpGuard, it contained 3 terabytes of data including millions of sensitive Government files and years worth of sensitive FBI investigations. ” UpGuard immediately notified the discovery to the ODS department, the storage server was secured by the agency. .
S49-07-001 – STS-049 – In cabin view of crewmember at the forward flight deck with laptop terminal National Archives Identifier: 22702275 In this blog post, we will explore the key aspects of metadata requirements and their significance in recordkeeping.
The media reported that the politicians targeted by the hackers used their private Gmail accounts for communications, instead of using their secure government accounts. According to Muller, the attacks did not target only Dworczyk, hackers also targeted government members, the PiS party, and a large group of people. aw Gowin.”.
Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. So here’s why data modeling is so critical to data governance. New ODBC query tool for creating and running custom model and metadata reports.
In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance. Data Storage.
Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Again, a partial definition. .
Here are a few unexpected examples of supposedly anonymous data reversal: •In 2016, the Australian government released what they called the “anonymous” (i. Metadata spying. Metadata is worthy of a separate examination. Metadata can be used to reverse-engineer and pinpoint identity quite easily.
I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant.
And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. As organizations look to migrate their data from legacy on-prem systems to cloud platforms, they want to do so quickly and precisely while ensuring the quality and overall governance of that data.
For information governance professionals, understanding and managing RIOT data is crucial. Data Governance Challenges You can’t protect or govern what you can’t access or read. This solution helps enterprises and government agencies uncover and remediate RIOT data effectively.
Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see.
Automating data governance is key to addressing the exponentially growing volume and variety of data. Earlier this year, erwin conducted a research project in partnership with Dataversity, the 2020 State of Data Governance and Automation. Automation also ensures that the data governance framework is always up to date and never stale.
Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated. Discover risks.
Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. Data governance provides time-sensitive, current-state architecture information with a high level of quality.
Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Are the Key Benefits of Data Governance?
The group targeted government and military organizations in Ukraine. In December 2019, the APT group targeted several Ukrainian diplomats, government and military officials, and law enforcement. The Gamaredon group was first discovered by Symantec and TrendMicro in 2015, but evidence of its activities has been dated back to 2013.
The analysis of metadata revealed that the nation-state actors employed them in a campaign between January and February 2022. Potential targets of the campaign are organizations and individuals operating in the defense and government sectors of countries in Europe and Eastern Europe. Microsoft[.]com, ” concludes the report.
Lower Security and Compliance Risk – the heightened classification and organization features of most cloud content platforms automatically ensure governance and regulatory protocols. Step 1: Improve Content Metadata. High-quality metadata is essential to improving search results. How can you achieve these lofty goals?
Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity. Maturity Levels.
Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.
erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc.
Data governance is vital for organizations to access trustworthy and secure data. By designating business ownership of core data assets, data governance helps resolve conflicting definitions and overlaps. By designating business ownership of core data assets, data governance helps resolve conflicting definitions and overlaps.
Were excited to share that Gartner has identified Collibra as a Leader in the inaugural Magic Quadrant for Data and Analytics Governance Platforms. This announcement follows a series of recent accomplishments that we believe reinforce our position as a market leader in the data and AI governance space.
Case in point — AI governance and AI model management. A major factor in the confusion lies in not understanding the three main different approaches to AI governance. This flavor of AI governance helps AI and data teams implement AI use-cases by preparing, developing, running and monitoring AI models.
This year, ARMA International released the Informational Governance Implementation Model (IGIM), beta version. There are, of course, other information governance (IG) models available to the community, each looking at IG through a different lens. Are your organization’s taxonomy and metadata consistent across systems?
Process Dependencies: Work processes, both manual and automated, may rely on how a system works, what its reports contain, how its metadata is structured, and more. Missing Metadata: This is often the case because new fields were added; in many instances, these new fields are also mandatory. This is also known as metadata enrichment.
Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition. Where is it?
Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. The clear benefit is that data stewards spend less time building and populating the data governance framework and more time realizing value and ROI from it.
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