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Featured Research
Critical Infrastructure Security: Transportation
This report looks at the digitization and mass connectivity of the transportation sector, notably aviation, roadways, rail and mass transit, and maritime, in a bid to analyze the vulnerabilities of such a transformation. The report will look at how cybersecurity can minimize new digital risks from a technical, policy and regulatory, and market perspective. The first section will look at the digital evolution occurring in the transportation sector, and the new insecure landscape that stakeholders will need to contend with. The second section will analyze the current efforts at cyber preparedness, from policy, technology, and market perspectives. The last section will provide an overview of selected stakeholders pioneering cybersecurity in the space.
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Insights
Cubic Transportation Systems Develops Face Biometrics Transportation Solution Using Surveillance Cameras
2Q 2017
Cubic Transportation Systems is currently developing a quite innovative facial recognition ticket authentication system for subways that draws upon both IP-connected and embedded smartphone cameras. With the worldwide IP-connected surveillance cameras expected to reach 81 million shipments by 2022 marking, boasting a 17.1% five-year CAGR, it would seem that face biometrics finally found its way in the transportation market. Only this time, it will draw more upon public infrastructure and leverage investments from transportation stakeholders instead of simply replying on consumer electronics.
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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?
