Altexsoft

JUNE 2, 2020

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. Network security. The Impact of AI on Cybersecurity.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

Ivanti

JANUARY 19, 2022

machine learning artificial intelligence (AI),?automation, The most common phishing delivery tactics are email and attachments, text and multimedia messages, telephone and malicious advertisement networks. Learn more. Ransomware, on the other hand, was responsible for most data breaches caused by malware.

Artificial Inteligence 90

Artificial Inteligence Malware Artificial Intelligence Spyware 90

Hu's Place - HitachiVantara

MAY 10, 2019

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

Data Machine Learning Artificial Inteligence Weak Development Team 90

Palo Alto Networks

JANUARY 23, 2023

With the Palo Alto Networks platform approach to building and operating a modernized, future-proof security framework, you can integrate cybersecurity into every initiative to protect data and ensure continuity of services. Palo Alto Networks takes a holistic approach to cybersecurity across the organization.

Government 67

Government Spyware Cloud Network 67

O'Reilly Media - Ideas

AUGUST 2, 2021

Amnesty International has released an open source tool for checking whether a phone has been compromised by Pegasus, the spyware sold by the NSO group to many governments, and used (among other things) to track journalists. That applies to data and machine learning, too, and is part of incorporating ML into production processes.

Trends 139

Trends VR Spyware Load Balancer 139

Ivanti

SEPTEMBER 9, 2021

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. iCloud Exploits. That is mind blowing!

Malware 76

Malware Backup Artificial Inteligence Mobile 76

Palo Alto Networks

FEBRUARY 18, 2020

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.

Conference 80

Conference Weak Development Team Industry Artificial Inteligence 80