Oracle leads the way in generative AI with a unique focus on human oversight and ironclad data security practices, ensuring user trust and reliable AI outcomes.
Search Results: data security (1740)
With the rise of generative AI, companies with weak data exfiltration controls are at even more risk of inadvertent disclosure of data, explains Wayne Sadin.
In this whitepaper, we discuss changes within cybersecurity such as difficulties in protecting data and how to protect data in a cloud-centric environment.
“When I want to think about data as a product, I think about a certain level of accessibility and consumer ability.” – Paige Bartley, 451 Research (part of S&P Global)
Data Mesh is both confusing and compelling, and so is how we think about data – specifically, managing it with users and their desired outcomes in mind.
The goal of a data product is to engender higher utilization of “trusted data” by making its analysis easier by a diverse set of consumers.
Watch this webinar to learn more about how organizations are looking to apply product management practices to their data assets.
AT&T Cybersecurity tackles data security from 5G to the Edge with its unified security management solutions and products.
Learn how a global trailer manufacturing company was able to improve its data security by implementing a software solution by Fastpath.
John Siefert, Bridget Courneya, and Aaron Back recap their week and the latest from the business and tech market on “The Wrap”.
Even in the middle of the coronavirus crisis, cybercriminals and fraudsters remained persistent, attacking organizations already reeling from the effects of the pandemic. The level of danger they pose isn’t likely to change in 2021, so it’s high time you invest in solutions that benefit or augment your business data’s security. One such solution is accounts payable (AP) automation.
Each role has a role to play in order to manage and secure data effectively, This shouldn’t be left to any one person or a single department, but should be a shared responsibility.
Preview the new Acceleration Economy AnalystGPT, a privatized GPT providing real time business and technology insights from over 10,000 pieces of content developed by our practitioner analysts.
The chief data officer (CDO) and chief information security officer (CISO) should agree on encryption, role-based access, zero trust security, and data retention for effective business decisions and risk mitigation.
Amazon Security Lake capability enables organizations to centralize security data from various environments into a single purpose-built data lake.
As cybersecurity teams face escalating demands and the need for faster responses, generative AI tcan help by scanning and summarizing vast amounts of data.
The increasing adoption of cloud services, particularly software-as-a-service (SaaS), has reshaped the role of the chief information security officer (CISO).
In a survey covering hundreds of IT and cybersecurity leaders, Lookout pinpoints areas of complexity and cybersecurity challenges facing financial services firms.
Rob Wood explains why cybersecurity ML models need clean and ample data, proper input ranges, and robust data platforms, such as the security data lake.
The integration of machine learning and AI capabilities in cybersecurity offer opportunities for improved specificity, consistency, and scalability.
Leveraging threat intelligence for operational needs can make organizations more effective and adaptable in modern cybersecurity operations.
Lookout Chief Strategy Officer Aaron Cockerill explains how DLP helps CEOs and CISOs optimize cybersecurity in SaaS environments.
Cybersecurity teams must work closely with finance teams to help them determine what kind of data is essential for automation to deliver more benefits than risk.