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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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IoT Security: Development of Standards & Guidelines

This report focuses on the development of IoT security standards, specifications, reference architectures and guidelines. With a fragmented IoT ecosystem, the questions of interoperability, communication protocols, and security are a priority. The report analyses the various organizations working to develop tools, from general guidelines and best practices, to specifications that can address IoT security and safety.


Reports & Data



KRACK Looms Over Wi-Fi's WPA2 Encryption - Android and Linux More Susceptible Targets - P2

4Q 2017

This is the second of a two-part insight regarding a brand new spectrum of WPA2 (Wi-Fi Protected Access) encryption vulnerabilities. The acronym KRACK (Key Reinstallation AttaCKs) was used to collectively describe these recent Wi-Fi weaknesses. The previous insight examined the type of vulnerabilities, the method of attack, a simple way that end-users can detect any suspicious activity, and a breakdown of all Wi-Fi connected device shipments for 2017 (estimated at 2.8 billion) which might be vulnerable to this or other replay attacks and manipulation or copying of encryption keys.

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

Jonathan O'Flaherty

Research Analyst

Dimitrios Pavlakis

Industry Analyst


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?