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Cybersecurity for enterprise: 10 essential PAM considerations for modern hybrid enterprises

CIO Business Intelligence

Supporting enterprise security during a cloud migration can be rife with pitfalls that can derail the initiative and ruin the customer experience. She joined the company in the middle of a corporate cloud transformation initiative and inherited a new Privileged Access Management (PAM) solution as part of an enterprise cybersecurity overhaul.

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Four Reasons Why Retail Analytics Solutions Are Important

bridgei2i

Four Reasons Why Retail Analytics Solutions Are Important. The retail market hinges on customer behavior. The sales of goods and services are primarily dependent on the present demands and requirements of the customers, and their behavior exerts a significant impact on trends in retail. Customer Behavior Analytics.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Another example was in new data-driven cybersecurity practices introduced by the COVID pandemic, including behavior biometrics (or biometric analytics), which were driven strongly by the global “work from home” transition, where many insecurities in networks, data-sharing, and collaboration / communication tools have been exposed.

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Why You Need to Get on the Zero Trust Network Access Express Lane

CIO Business Intelligence

Today’s work from anywhere culture, escalating ransomware, and an explosion of Internet of Things (IoT) devices are among the trends that are driving enterprises to rethink their approach to secure network access. Behavioral analytics and least-privilege access. Like continuous authentication, ZTNA uses behavioral analytics.

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G2 Summer Reports name IBM a Leader

IBM Big Data Hub

” – User, Enterprise Get started with IBM G2 scores products and vendors based on reviews gathered from our user community, as well as data aggregated from online sources and social networks. ” – Support Engineer, Small-Business “On a single screen, Instana presents the status of the complete architecture.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

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How to use data detection and response (DDR) to gain early warning into data leakage from insider threats

Laminar Security

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. DDR covers all data sources, destinations, users, and behaviors. What is data detection and response (DDR)?