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Dulling the impact of AI-fueled cyber threats with AI

CIO

It can also create cyber threats that are harder to detect than before, such as AI-powered malware, which can learn from and circumvent an organization’s defenses at breakneck speed. Then there’s reinforcement learning, a type of machine learning model that trains algorithms to make effective cybersecurity decisions.

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There are Some Cloud Myths that Enterprise Should Break

OTS Solutions

Datacenter services include backup and recovery too. If there is a missed update on a single computer, well, that’s all a hacker needs to initiate an attack of ransomware or malware. Virtual reality, augmented reality and machine learning are growing too. Workers wait longer for updates to complete.

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Top 10 Cybersecurity Threats in 2020

Kaseya

Just like the coronavirus spreads from person to person, cybersecurity malware too can spread rapidly from computer to computer and network to network. A deepfake is the use of machine learning and artificial intelligence (AI) to manipulate an existing image or video of a person to portray some activity that didn’t actually happen.

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

Ivanti

The quickest method to check for the presence of malware on your iPhone, iPad or macOS devices is to look for the presence of an unknown configuration profile within the Settings > General > VPN & Device Management settings. Victims would then be coerced to pay money to remove the malware from their devices or laptops.

Malware 97
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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. Some can even automatically respond to threats.

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Incident Response by the Numbers

Palo Alto Networks

As attackers act with greater sophistication and subtlety, AI and machine learning are becoming vital to detect attack patterns early and position defenders to respond with precision. About 42% of our investigations involved a backdoor, while 32% of malware-related matters had some kind of interactive C2 software.

Malware 92
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Top 5 Ways to Improve the Security of Your Business

Kaseya

In 2017, 50,000 cyber-attacks were targeted at IoT devices, an increase of 600 percent from 2016 and the number of IoT-driven malware attacks surpassed 121,000 in 2018. Common antivirus and anti-malware (AV/AM) tools usually won’t be effective against these threats. Insider threats require specialized tools.

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