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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).
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Not on My Watch: EU Commission Punishes Google for €2.42 Billion
3Q 2017
On June 26 (2017), news released from the European Commission headquarters in Brussels found technology giant Google being fined for a record €2.42 billion (approximately US$2.73 billion) primarily for “giving illegal advantage[s] to own comparison shopping service[s].” In a recent press release (issued on June 27), Commissioner Margrethe Vestager praised Google’s innovating products and how it impacts the lives of its consumers. However, this was before Google was accused of abusing its market dominance with its search engine to promote its very own shopping service, fostering “unhealthy” competition for its rivals. Vestager mentioned that the actions performed by Google during the last years, such as denying other companies the ability to compete on their merits and denying EU citizens a free choice of services, are considered illegal under EU antitrust regulations.
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Webinar
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?
