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ABI Research’s digital security research offers end-to-end coverage of the digital security ecosystem – from information and communication technologies to operational control process. This research is particularly salient to enterprises facing the growing proliferation of cyber threats, while also becoming increasingly connected, as in the convergence of IT and OT.

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Digital Security for the IoT: Trends & Opportunities

This report provides an overview of the role of digital security in the IoT, notably trends and opportunities in the transportation, healthcare, and industrial sectors.

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Reports & Data

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Insights

Mandatory Biometric Aadhaar ID for Banking in India

1Q 2018

Aadhaar is the world’s largest biometric citizen database. It is used in India to register everyone with a face, fingerprint, and iris prints, from the age of 5. Younger citizens have to re-register every 5 years due to the constantly shifting nature of their biometric information. Aadhaar is primarily used for social welfare, keeping track of citizens’ proof of life and voting, and has been the target of many a controversy (including a hefty amount of lawsuits) in the past. However, the Indian government shows no indication of slowing down the project and has, in fact, accelerated its progress.

Analyst Support

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.

Michela Menting

Research Director

Phil Sealy

Principal Analyst

Dimitrios Pavlakis

Industry Analyst

Jonathan O'Flaherty

Research Analyst

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?

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