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Unfortunately, today’s data can also be easily targeted by cybercriminals looking to access and tamper with sensitive information. This is why cybersecurity is increasingly becoming a top strategic priority for enterprises of all sizes. The post The Impact of DataGovernance in Cybersecurity appeared first on DATAVERSITY.
Companies today are a storehouse for extensively valuable data – from employees’ data to the business’s financial data to corporate intelligence to customer information. […]. The post Is a Proactive Approach Best for Data Privacy and Cybersecurity? appeared first on DATAVERSITY.
The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].
With the latest SEC developments lighting a fire under the feet of companies and their executives, datagovernance is increasingly a front-line imperative. The shift is dramatic, with firms now mandated to report material cybersecurity incidents promptly, a move that ties the knot even tighter between cybersecurity and datagovernance.
One of the most pervasive cybersecurity challenges is “access creep” – the gradual, often unnoticed accumulation of access privileges by employees beyond what their current role requires. This phenomenon occurs when initial access rights granted for specific roles are not revoked as employees change positions or their job duties evolve.
It is also important to understand the critical role of data in driving advancements in AI technologies. While technology innovations like AI evolve and become compelling across industries, effective datagovernance remains foundational for the successful deployment and integration into operational frameworks.
Datagovernance has often been met with furrowed brows among CIOs — sometimes seen as the broccoli of the IT dinner plate: undoubtedly good for you, but not always eagerly consumed. CIOs often bore the brunt from organizations that were forced to do top-down datagovernance.
While I previously highlighted the ruling’s potential impact in “DataGovernance Gets a New Impetus,” it’s worth revisiting whether this shift will matter to management teams or simply add another layer to the compliance checklist. […]
Companies increasingly know the need to protect their sensitive information and continue investing heavily in cybersecurity measures. However, this approach has a critical oversight: The assumption that […] The post The Role of Data Security in Protecting Sensitive Information Across Verticals appeared first on DATAVERSITY.
About two-thirds (63%) of organizations worldwide have fully or partially implemented the cybersecurity posture, Gartner reports, following the motto of “never trust, always verify.” Zero trust is taking the enterprise by storm. This rush to zero trust makes sense in the remote age.
Companies today use a range of systems to transfer and store data, perform tasks, and, most importantly, manage their customers and staff members. With so many online and offline factors, good cybersecurity is a must. That’s where identity and access management (IAM) comes in to organize user identities and determine who accesses what.
According to an annual cybersecurity report by Cisco, cyber-attacks are more advanced than ever before. Globally, the average total cost of a data breach is around $4.35 compared to 2021, according to IBM’s most recent Cost of a Data Breach […]. million, which increased by 2.6%
As the chief marketing officer (CMO) of a cybersecurity software company, I spend a lot of time on data security for our content marketing. Click to learn more about author Cindy Zhou. However, in many organizations, security is a frequently overlooked area for marketers.
IT also is the change agent fostering an enterprise-wide culture that prizes data for the impact it makes as the basis for all informed decision-making. Culture change can be hard, but with a flexible datagovernance framework, platform, and tools to power digital transformation, you can accelerate business growth.
IT also is the change agent fostering an enterprise-wide culture that prizes data for the impact it makes as the basis for all informed decision-making. Culture change can be hard, but with a flexible datagovernance framework, platform, and tools to power digital transformation, you can accelerate business growth.
Generative AI in Finance FAQs addressed in this article: What is generative AI in financial services? – Considerations include identifying and mitigating AI-related risks, developing new governance frameworks for AI oversight, and ensuring the responsible and ethical use of AI technologies.
Click to learn more about author Keith Neilson. Multi-cloud is positioned to take over this year, as over 90% of enterprises worldwide are expected to depend on a blend of on-prem/dedicated private clouds, multiple public clouds, and legacy platforms by 2022.
Whichever metaphor you would like to use, what is certain is that no organization will survive the twenty-first century without optimizing the use of its data assets. Similarly, cybersecurity, privacy, and compliance risks increasingly present huge […].
The term “big data” is no longer the exclusive preserve of big companies. Businesses of all sizes increasingly see the benefits of being data-driven. Effective access to […] The post Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security appeared first on DATAVERSITY.
Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? It essentially supports the overall datagovernance policy.
Identity is foundational for a robust public infrastructure, initiating substantial economic growth – like using driver’s licenses to […] The post Identity as Infrastructure: Why Digital Identities Are Crucial and How to Secure Their Data appeared first on DATAVERSITY.
Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. But we all know that cyberattacks are on the rise and evolving data privacy legislation has led to the […].
The post Big Data, Big Responsibility appeared first on DATAVERSITY. By now, we’ve probably all heard that “every company is a tech company” after the evolution of where and how we work in the previous few years. However, if every company is a tech company, what has become of what we traditionally think of as technology companies?
We are living in an era of data and analytics. It is the time when organizations are consuming, generating, modifying, and exchanging an insane amount of data. Now, failing to keep track of data that is being consumed, generated, modified, exchanged, or deleted within your organization can have […].
At the heart of this transformation lies data, the fuel that powers AI systems. How we manage this data can determine whether […] Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live.
The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.
During the CDM Media’s September 2023 Houston CDO and CIO/CISO Summit, I joined a group of business and IT leaders across various industries to share perspectives and best practices. I also participated in an executive dinner and roundtable to focus on artificial intelligence (AI).
It’s past time for a comprehensive data security strategy Information Security professionals tend to focus on network, cloud, application, and IoT security along with perimeter defense. These are essential and provide a high degree of protection for systems and files.
Data privacy and security matter. Given this, it will be a big deal if machine learning can make them easier to implement. So, how do CIOs and other security thought leaders think machine learning applies to privacy and security? Let’s start by looking at the risks and then discuss how technology makes addressing them easier. […]
A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI.
The cloud was the driving force behind much of the digital transformation sparked by COVID-19. Public cloud applications and services allowed enterprises to support employees as they shifted to a fully remote workforce, and now many major components of day-to-day business are on the cloud. In fact, the cloud market is projected to amount to $832.1
Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals.
In the insurance industry, datagovernance best practices are not just buzzwords — they’re critical safeguards against potentially catastrophic breaches. The 2015 Anthem Blue Cross Blue Shield data breach serves as a stark reminder of why robust datagovernance is crucial.
Infrastructure security is a leading concern for cybersecurity professionals today. Cybercriminals are targeting industrial systems with increasing frequency, and these attacks can have devastating consequences. Further complicating the issue is the fact that many communities rely on outdated technology, leaving them vulnerable to disruption.
At the end of the article, I will provide an overview of possible individual and corporate strategies for preparing for the future. flexible grippers and tactile arrays that can improve handling of varied objects); substantial investments in data management and governance; the development of new types of hardware (e.g.,
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