Network Detection: What Is It Really?

Network detection has become the hottest area of growth for cyber security. Both financial services and healthcare industries alone are experiencing alarming rates of daily attacks worldwide. From malware, breaches, phishing scams, to savvy cyber criminals harvesting truckloads of information and personal data - cyber security is the number one concern for organizations right now. But what is network detection really? How do you explain network traffic analysis? Hear Cyber adAPT CTO Scott Millis explain his take on the topic.

Spotlight

Tessian

Tessian’s mission is to secure the human layer. Using machine learning technology, Tessian automatically stops data breaches and security threats caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way. Founded in 2013, Tessian is backed by renowned investors like Sequoia, Accel, March Capital, and Balderton and has offices in San Francisco, Boston and London.

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Intel® FPGAs and SoCs with Intel® FPGA AI Suite and OpenVINO Toolkit Drive Embedded/Edge AI/Machine Learning Applications

whitePaper | September 28, 2022

As the speed of enterprise operations surge and expectations for quick responses rise, decision making increasingly migrates from data centers to the network’s edge. Whether it’s on the shop floor, where busy production lines must not stand idle, a doctor in a surgical suite waiting for answers, a fire crew needing orders to fight a frantically advancing wildfire, scientists looking for insights that will help a recovering coral reef, or a retail environment where impatient customers wait for help in making a purchase, enterprises must configure their systems to collect information, to develop actionable insights, and to provide decisions or answers in real time.

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Unpacking AI Procurement in a Box: Insights from Implementation

whitePaper | May 9, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders

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The Commonsense Path to Simple and Secure Remote Worker IT Management

whitePaper | July 28, 2022

Many businesses have recently evolved to support large remote or hybrid workforces. This initial transition was imagined to be temporary, relying on home networks to provide the connectivity needed for work. Now, two years later, companies are contemplating technology improvements to address a more permanent remote workforce.

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Leading Through Digital AI Powered Transformation

whitePaper | December 23, 2019

We are witnessing a new genre of companies shaping the business landscape by leveraging emerging technologies and applying them with such potency to create competitive advantage. These organisations have a quest to scale; they are big on customer experience; they are open to partnerships and are able to deploy their products and services at scale through APIs; they are big adopters of the cloud and quite often are born in the cloud; they embrace design thinking and are happy to return to first principles to find innovative solutions to business problems; and they are relentless at leveraging the power of artificial intelligence (AI) for insights and decision making.

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Democratizing AI: Transforming Your Operating Model to Support AI Adoption

whitePaper | May 20, 2021

AI has become a strategic imperative. Early adopters are achieving massive returns, while others risk falling behind. Yet, with AI knowledge and resources scarce, most companies cannot copy the FAANG approach. Even if their vast resources were more readily available, it’s hard to reboot an organization without disrupting the bottom line. Most executives need to work with the resources available — their existing people, processes, and technology.

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Accelerate Digital Transformation with Low-Code/No-Code Automation

whitePaper | November 30, 2022

The first-generation low-code platforms required considerable adaptations and months of development in the late 1990s and early 2000s. Gartner expects that by 2024, low-code/no-code automation will account for 65% of all app development.

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Spotlight

Tessian

Tessian’s mission is to secure the human layer. Using machine learning technology, Tessian automatically stops data breaches and security threats caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way. Founded in 2013, Tessian is backed by renowned investors like Sequoia, Accel, March Capital, and Balderton and has offices in San Francisco, Boston and London.

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