Tag Archive for: Insights

ISG Executive Insights helps users manage their complex supplier ecosystems

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Information Services Group (ISG) launched ISG Executive Insights, a market intelligence and data analytics platform that addresses the challenges of managing increasingly complex supplier ecosystems.

ISG Executive Insights

With ISG Executive Insights, organizations can now gather insights in one platform to optimize provider relationships, risk and compliance. The new data-analytics-as-a-solution offering is powered by ISG’s data repository, a comprehensive, curated database of global IT, business process and engineering outsourcing contracts—paired with ISG’s patented IT price benchmarking, market cost intelligence and other analytical tools.

Leveraging data from more than 180,000 sourcing contracts, 5,600 unique assessments and 1.3 million deliverables and obligations, ISG Executive Insights delivers market trends and forecasts; information on provider capabilities, pricing and commercial terms; real-time analytics, risk mitigation and ongoing, post-deal value realization.

Enterprise leaders can quickly access intelligence on which suppliers have created value for the business, how spending compares with the market, how provider projects are performing and what governance and operational best practices need to be adopted.

“No other technology research and advisory firm can offer the same level of actionable data and insights as ISG,” said Todd Lavieri, vice chairman and president, ISG Americas and Asia Pacific.

“To make the best decisions, enterprises increasingly need current and meaningful data from the market, their organizations, and their ecosystems of partners and relationships,” Lavieri said. “ISG Executive Insights turns the data we gather and analyze in the course of advising on more than $18 billion of annual contract value every year into actionable intelligence for global clients and all ecosystem participants across all sectors of the marketplace. There is no other platform like it.”

Enterprises can use the platform to manage performance and spending, mitigate risk and foster innovation with data-powered profiles of provider capabilities and risk, intuitive dashboards, price intelligence, mobile network maps, on-demand assessments, continuous monitoring,…

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CPX 360 2020 Cyber Talk: Cyber Security for 2020 – Gil Shwed, Founder and CEO, Check Point

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Insights on the Cloud Security Global Market to 2025 –

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Dublin, June 25, 2021 (GLOBE NEWSWIRE) — The “Global Cloud Security Market: Size & Forecast with Impact Analysis of COVID-19 (2021-2025)” report has been added to ResearchAndMarkets.com’s offering.

This report provides an in-depth analysis of the global cloud security market by value, by service model, by organization size, by application, by region, etc. The report presents a regional analysis of the cloud security market, including the following regions: North America (The US, and Rest of North America); Europe; Asia Pacific; Middle East & Africa; and Latin America.

The report also provides a detailed analysis of the COVID-19 impact on the cloud security market.

The report also assesses the key opportunities in the market and outlines the factors that are and will be driving the growth of the industry. Growth of the overall global cloud security market has also been forecasted for the period 2021-2025, taking into consideration the previous growth patterns, the growth drivers and the current and future trends.

The global cloud security market is highly fragmented with many major market players operating worldwide. The key players of the cloud security market – Microsoft Corporation, Cisco Systems, Inc., Proofpoint, Inc., and McAfee Corp. – are also profiled with their financial information and respective business strategies.

Regional Coverage

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

With the rapid evolution of the internet, privacy is considered to be the crucial element for each and every individual. As more and more people using internet, the vulnerability to cyber attacks has increased manifolds. Therefore, the use of cloud security has become extremely essential for everyone in order to protect the sensitive data.

Cloud security refers to the set of technologies, policies, controls, and services that secure cloud computing environments, applications, and infrastructure from cyber security threats. Cloud security is a form of cyber security.

The cloud security market can be segmented on the basis of security type, solution type, service model, deployment model, organization type, and application.

The global cloud security market has…

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Insights into TypingDNA typing patterns and the type-to-output tool

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What are typing patterns?

Typing patterns are the digital representation of a person’s unique typing behavior, similar to physical biometrics such as fingerprint recognition, facial recognition, and iris scanning. 

To generate a typing pattern, TypingDNA uses an array of different metrics, including press time, which is the duration that a key is pressed, and seek time, which is the duration between keystrokes. When people type on their keyboards, TypingDNA develops a string of parameters that determine individual attributes of the way they type. 

What are TypingDNA recorders?

Whenever you implement TypingDNA, you should start by integrating our typing pattern recorders. Make sure to go to TypingDNA’s GitHub repository and download the latest version of the recorder that works best for the technology you are using. 

Direct links:

Take a look at this tutorial we’ve made to find out how to record good typing patterns.

What forms a typing pattern?

Any typing pattern has a header and a body. The header is crucial for the accurate interpretation of the information found in the body of the typing pattern, which defines the way the user types. Type 1 & 2 (more information below) patterns share a similar structure:

The header of a typing pattern consists of general information, including device type, recorder version, text length, operating system, browser type, browser version, and browser language. It also includes text ID, ahashed value obtained from the data typed by the user used to verify whether they have previously saved other typing patterns for the same text without knowing what the user has actually typed.

The body of the typing pattern allows us to go into more detail about how the user types: the time between two keypresses, how long they hold a key down, keyboard input (whether the keyboard is touch-based, physical, or a combination of both), and keyboard type (internal, external, or mixed).

Find out more in the API documentation.

How does a typing pattern differ on mobile?

For mobile, typing patterns also include data gathered on each keypress from the gyroscope and accelerometer, including acceleration, rotation, pitch, and roll, all of which help increase…

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