Detecting Rogue Devices with Artificial Intelligence
Rogue devices are malicious machines placed inside networks to steal data or otherwise spy on network users. The owners of these devices might range from your…
Insights and
Research
CUJO AI is home to some of the brightest people with decades of experience in the cybersecurity, data science, and telco industry. To arrange a deeper discussion or public appearance with our experts, get in touch.
Latest insights
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CUJO AI Celebrates Its 6th Birthday
In just six short years CUJO AI has become the leading advanced multi-layer cybersecurity company in the telecommunications industry. Protecting over 1 billion devices, our AI…
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Building Products for Easier Telco Big Data Analysis and Access
Telecommunications is a big data business that often lacks scalable and proven solutions for data access and analysis. Evolving technologies and privacy concerns create tangible barriers…
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Using Artificial Intelligence in Telecom Security
Today, 75% of enterprises rely on AI-based platforms and solutions for network security. Large telecommunications networks are no exception, thanks to the tangible benefits AI-driven network…
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IoT Malware Journals: Prometei (Linux)
The IoT Malware Journals series will cover the IoT threat landscape from a technical perspective. For this first article in the series, I will analyze the…
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Restricted Environment IoT Hacking: All You Need Is a Remote Shell
I recently decided to analyze some binaries on an IoT camera I had Telnet access to. What should have been as easy as copying files from…
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Building an Advanced Fingerprinting Detector AI
In two earlier posts, we introduced the problem of browser fingerprinting and showed a static fingerprinting detector AI that is based on the raw text content…
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How Telecoms Can Gain an Advantage: AI Value-Added Services
Telecommunications companies are some of the most data-rich organizations investing in artificial intelligence (AI) technologies. We have already written about using AI for telecom analytics, and…
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A Look Back at 2020
The festive spirit is in full swing, and 2021 is upon us. As we look back at the year’s accomplishments, there is no better time than…
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Telecom Analytics Using Artificial Intelligence
The telecommunications market is a mature industry with several key areas ripe for optimization and differentiation. Network service providers (NSP) have extreme amounts of connectivity data…
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Meet Jeremy Otis – General Counsel at CUJO AI
This year, Jeremy Otis joined CUJO AI as the General Counsel. We did a short interview about his background at some of Finland’s top companies and…
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Machine Learning Security Evasion Competition 2020 Results and Behind the Scenes
Back in 2019, Hyrum Anderson and I organized the Machine Learning Security Evasion Competition (MLSEC), where participants had to modify malware samples to remain functional and…
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Why CUJO AI Device Intelligence Is Unaffected by MAC Randomization
Artificial intelligence solves issues that seem insurmountable to network service providers (NSPs) relying on rule-based or list-based solutions, such as MAC addresses for Wi-Fi steering, authentication,…
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DNS Hijacking Attacks on Home Routers in Brazil
Recently, we have observed ongoing attacks on residential gateways. These attacks had a common trait: they all originated...
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The True Impact of MAC Randomization on Network Service Operators
We expect media access control (MAC) address randomization to be the default setting on more than 30% of mobile devices by Feb 2021. Since many network…
