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Critical Infrastructure Security
This Critical Infrastructure Security report details critical infrastructure spending on cybersecurity. The critical infrastructure is defined as the basic physical and organizational structure needed for the functioning of a modern society. ABI Research has broken down the infrastructure into eight segments: Defense, Energy, Finance, Health, Information & Communication Technologies, Public Security, Transport, and Water & Waste Management. Each segment's spending is further broken down by sector (Government, Industry, etc.), by type (IT, Countermeasures, Procedures, etc.), by region (North America, Europe, Asia-Pacific, Middle East & Africa, Latin America), and by country (United States, United Kingdom, China, Russia, Israel, Canada, and Australia).Continue
Reports & Data
This is the second of a two-part insight entitled “Biometrics Find Their Way in the Car Sharing Economy” dealing with the use of biometrics as part of the emerging car hailing and car sharing ventures. In the previous insight, different environmental, consumer and legislative factors, among others, were mentioned as contributing factors to the ever-increasing usage of biometrics for companies such as Uber and Lyft. While there has been (and still is) friction in this transitionary phase, younger companies seem to have an easier time adapting to the implementation of biometric technologies. Two major examples concern the companies Little Cab and Zipcar.
Every client is assigned a key member of our research team, based on their organization’s needs and goals. And, an unlimited number of Analyst Inquiry calls are available to answer your specific questions.
Cybersecurity Gets an Upgrade – Machine Learning, Automation, and the Potential for Artificial Intelligence
With each passing quarter cyberattacks are becoming increasingly more frequent and potent, causing organizations to adapt out of necessity to these emerging threats. Luckily, artificial intelligence (AI), machine learning (ML), and automation applications are also advancing rapidly and have finally found their way to cybersecurity.
This webinar will explore the benefits offered by these applications, as well as any vital prerequisites, and barriers for adoption. It will also describe the key current technologies (deep learning, user and entity behavior analytics [UEBA], and cognitive computing), provide insights regarding algorithm training approaches, and describe the current and future state of the market.This webinar will seek to answer key questions:
- How is ML applied in cybersecurity?
- How can companies derive value from it?
- What processes should be automated?
- What data sources should be used for algorithm training?
- What constitutes a good UEBA product?
- What does the future of AI hold for cybersecurity?
Secure Standardization Efforts Slowly Emerging for Fragmented IoT Ecosystem
All Eyes on India, the U.S. and China as the EMV Payment Cards Market Normalizes
Global SIM Card Shipments to Exceed 5.8 Billion in 2020, Despite Market Uncertainty
Digitization of Operational Technologies to Drive Transportation Cybersecurity Spending to $14 Billion by 2022
ABI Research B2B Technology Survey Finds More Than Half of Healthcare Respondents Not Concerned with Cybersecurity