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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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AI Applications in Cybersecurity with Real-Life Examples

Altexsoft

This is where Artificial Intelligence (AI) comes in. 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.

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

Ivanti

machine learning artificial intelligence (AI),?automation, against known and zero-day vulnerabilities, zero-click exploit kits developed by the NSO Group, fileless malware and the adoption of the “as-a-service” business model. Learn more. Worse yet, these?types types of attacks?continue continue to evolve?and

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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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Fighting Ransomware: Using Ivanti’s Platform to Build a Resilient Zero Trust Security Defense – Part 2

Ivanti

Within the initial blog in this series , we discussed ransomware attacks and their remediation on Android mobile devices. Part 2 addresses potential ransomware exploits and their remediation on iOS, iPadOS mobile devices and macOS desktops. iOS and iPadOS Exploits. That is mind blowing! What will the outcome for 2021 reveal?

Malware 83
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What the Cybersecurity Industry Needs to Discuss at the RSA Conference 2020

Palo Alto Networks

New forms of “stalkerware,” a type of spyware, tracks smartphone data from victims to build up a picture of their activities; this can be used to create faked videos, voice recordings or written communications. Users need greater awareness of the dangers of mobile surveillance and the steps to counter it.