article thumbnail

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
article thumbnail

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. If you haven’t already, sign up here to get WiR in your inbox every Saturday. Now, on with the recap.

Research 246
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Introducing Cloud NGFW for Azure — On-Prem to Azure, Seamlessly Secure

Palo Alto Networks

Then there’s Advanced Threat Protection , which stops unknown exploits, malware, spyware and command and control (C2) while utilizing inline deep learning to halt zero-day attacks in real time. WildFire combines dynamic, static and machine learning analysis techniques to detect and prevent file-based threats.

Azure 108
article thumbnail

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
article thumbnail

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. Some can even automatically respond to threats.

article thumbnail

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

Ivanti

machine learning artificial intelligence (AI),?automation, Ransomware is also proliferated using trojans, spam email with malicious attachments, fake software update tools, third-party software app stores and distribution sources that push apps and tools that contain malware, spyware, or exploit kits. Worse yet, these?types

article thumbnail

Artificial Intelligence and Cyber Security

iTexico

AI can also analyze data across multiple channels to identify spyware and malware before they hurt your system. AI’s strength is its capability to analyze large amounts of data and this enables it to scan a system for abnormal activities as it learns over time to determine what activities are abnormal. Identifying Suspicious Activity.