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YC-backed Malloc wants to take the sting out of mobile spyware

TechCrunch

Mobile spyware is one of the most invasive and targeted kinds of unregulated surveillance, since it can be used to track where you go, who you see and what you talk about. And because of its stealthy nature, mobile spyware can be nearly impossible to detect. “We already know applications that are spyware.

Spyware 247
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Researchers jailbreak a Tesla, the FCC fines robocallers and WeWork finds itself in trouble (again)

TechCrunch

Also featured are stories about WeWork’s perennial struggles, Google’s Messages app fully embracing RCS, and spyware maker LetMeSpy shutting down after a massive data breach. Taking a page from mobile gaming: Retaining mobile app subscribers is harder than it was last year, but paywall optimization and gamified UX can help.

Research 246
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Enforce Zero Trust for 5G Security to Work

Palo Alto Networks

Security for previous generations of mobile technology was not focused on detecting and preventing attacks on all layers, all locations/interfaces, all attack vectors, or all software lifecycle stages. Use of In-Line Real-Time Machine Learning Models : Help detect and prevent previously unknown attacks.

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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90
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AI Applications in Cybersecurity with Real-Life Examples

Altexsoft

What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. Analyze mobile endpoints.

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9 Types of Phishing and Ransomware Attacks—And How to Identify Them

Ivanti

machine learning artificial intelligence (AI),?automation, Once the end user’s credentials are known via phishing attack, cybercriminals can then grab additional valuable data on the user’s mobile device or laptop, then escape the device and move laterally onto connected networks in search of additional valuable data to steal.

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Radar Trends to Watch: August 2022

O'Reilly Media - Ideas

Researchers have used reinforcement learning to build a robotic dog that learns to walk on its own in the real world (i.e., Princeton held a workshop on the reproducibility crisis that the use of machine learning is causing in science. without prior training and use of a simulator).