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4 Major Signs You Need to Focus on Network Vulnerabilities

Tenable

Network vulnerabilities can manifest in many forms. These facts all point to the big-picture existential threat posed by cyberattacks and network security threats. Let's go over the key signs that you can identify as clear indicators of potential network and software vulnerabilities: . #1. But not all breaches are cyberattacks.

Network 86
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How to Build a Mobile-First Security Strategy

Ivanti

Not surprisingly, this has created an escalating vulnerability gap: more mobile devices means more mobile threats — and more blind spots as IT and security teams scramble to identify all those devices as they connect to their networks.

Mobile 92
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Introducing Cloud NGFW for Azure — On-Prem to Azure, Seamlessly Secure

Palo Alto Networks

That’s why we are excited to launch Cloud NGFW for Azure to strengthen security for applications running on Microsoft Azure while streamlining network security operations. This enables customers to maintain centralized threat visibility and management, so they can extend control of network security from on-prem to Azure.

Azure 124
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Hear From A Customer: Making the Everywhere Workplace a Reality

Ivanti

This prevents potentially dangerous executables containing viruses, spyware, and malware from contaminating the corporate network. Although users could not perform any application installations, they could launch portable apps. Integration. Help was on the way. So that’s it?

Azure 97
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Learn the Language of Vulnerability Assessment: Key Security Terms You Should Know

Tenable

The simplest accurate description is "any weakness in your network that can be exploited." A vulnerability could also be a host on the network that lacks modern protections like next-generation firewalls or anti-malware features. computers, mobile devices or operational technology such as network switches and control systems).

Malware 89
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The Future of Security

O'Reilly Media - Ideas

The future of cybersecurity is being shaped by the need for companies to secure their networks, data, devices, and identities. One such approach is zero trust , which challenges perimeter network access controls by trusting no resources by default. Network locality is not sufficient for decided trust in a network.

Mobile 122
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AI Applications in Cybersecurity with Real-Life Examples

Altexsoft

There are many machine learning algorithms, but most of them perform one of the following tasks: Regression —detect correlations between different datasets and understand how they are related to each other. You can classify a binary file into categories like legitimate software, adware, ransomware, and spyware. Network security.