TechCrunch

MAY 11, 2022

But projects get abandoned and picked up by others who plant backdoors or malware, or, as seen recently since Russia’s invasion of Ukraine, a rise in “protestware,” in which open source software developers alter their code to wipe the contents of Russian computers in protest of the Kremlin’s incursion.

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Palo Alto Networks

NOVEMBER 6, 2024

This challenge is underscored by the fact that approximately 450,000 new malware variants are detected each day, according to data by AV-Test. For instance, XSIAM's AI-driven analytics can automatically identify anomalies specific to an organization's network behavior, creating a custom threat detection model.

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Ooda Loop

APRIL 2, 2025

From malware detection to network traffic analysis, predictive machine learning models and other narrow AI applications have been used in cybersecurity for decades. Artificial intelligence (AI) has long been a cornerstone of cybersecurity.

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Artificial Inteligence Artificial Intelligence Malware Machine Learning 59

CIO

MAY 23, 2023

Firewalls have come a long way from their humble beginnings of assessing network traffic based on appearance alone. The spread of convergence Convergence is important to reducing cybersecurity complexity because it brings together the network and its security infrastructure into a single layer.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

CIO

MARCH 13, 2023

It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. It’s also been flagged as a risk: cybersecurity companies have identified bad actors using ChatGPT to create malware.

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Palo Alto Networks

JANUARY 8, 2025

A recent survey by Palo Alto Networks found that 95% of respondents experienced browser-based attacks in the last year, including account takeovers and malicious extensions. Malicious browser extensions can introduce malware, extract data, or create backdoors for future attacks. This also extends SASE security to unmanaged devices.

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CTOvision

SEPTEMBER 23, 2015

Richard Stiennon’s There Will Be Cyberwar: How The Move to Network-Centric War Fighting Has Set The Stage For Cyberwar highlights the disparity of the speed at which technology emerges with the speed at which security for the technology is developed. There have been no attacks, yet, but the malware is in the systems for espionage purposes.

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Network Government Malware Technology 155

The Crazy Programmer

NOVEMBER 10, 2021

An intrusion detection system refers to a special kind of software specifically designed to keep an eye on the network traffic to discover system irregularities. These malicious network activities could mean the beginning of a data breach or the end of one. An intrusion detection system may be host-based or network-based.

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System Tools Artificial Inteligence Malware 173

Palo Alto Networks

AUGUST 10, 2020

More recently, we disrupted the market again with our announcement of the world’s first Machine Learning-Powered NGFW. Forrester has named Palo Alto Networks a Leader in its Forrester Wave : Enterprise Firewalls, Q3 2020 report. The 70+ innovative new capabilities in PAN-OS 10.0

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Firewall Network Report Enterprise 98

Palo Alto Networks

MAY 19, 2021

An all-encompassing Zero Trust approach to network security is critical for safeguarding productivity in the new reality of remote, mobile and hybrid work. Treating every connection the same is the foundation of Zero Trust Network Security. Zero Trust – Why It Matters for Productivity. Secure Access for the Right Users.

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TechCrunch

MARCH 11, 2023

Excitingly, it’ll feature new stages with industry-specific programming tracks across climate, mobility, fintech, AI and machine learning, enterprise, privacy and security, and hardware and robotics. Malware hiding in the woodwork: The U.S. Don’t miss it. Now on to WiR.

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CIO

MARCH 10, 2023

By Leonard Kleinman, Field Chief Technology Officer (CTO) ) Cortex for Palo Alto Networks JAPAC Many things challenge how we practice cybersecurity these days. The MyDoom worm , one of the fastest-spreading pieces of malware on the internet, uses automation to propagate and is estimated to have caused around $38 billion in damage.

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CIO

JUNE 25, 2024

Its holistic approach to cybersecurity integrates wide-area networking and security services into a unified cloud-delivered platform. In fact, in a recent Palo Alto Networks survey , a staggering 95% of respondents reported experiencing browser-based attacks in the past 12 months, including account takeovers and malicious extensions.

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How To Malware Enterprise Policies 162

Palo Alto Networks

APRIL 26, 2021

Networks have further expanded into the cloud, and organizations have reinvented themselves even while reacting and responding to new circumstances – and new cyberthreats. Network security is evolving to meet these challenges, and it’s critical to have the right cybersecurity strategy and partner.

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Network Cloud Data Center Malware 94

Prisma Clud

JUNE 22, 2023

Using WildFire in 2021 to analyze malicious files, our threat research team discovered a 73% increase in Cobalt Strike malware samples compared to 2020. The speed, volume and sophistication of modern malware attacks has made them more difficult to detect.

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Hacker Earth Developers Blog

JULY 19, 2018

Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Greater computing power and the rise of cloud-based services—which helps run sophisticated machine learning algorithms. Applications of AI. Knowledge: The ability to present knowledge about the world. Manufacturing.

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Artificial Inteligence Artificial Intelligence Applications Technical Review 200

Tenable

NOVEMBER 29, 2024

” (Vox) “ Too Much Trust in AI Poses Unexpected Threats to the Scientific Process ” (Scientific American) 3 - How AI boosts real-time threat detection AI has greatly impacted real-time threat detection by analyzing large datasets at unmatched speeds and identifying subtle, often-overlooked, changes in network traffic or user behavior.

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Kaseya

APRIL 15, 2020

Just like the coronavirus spreads from person to person, cybersecurity malware too can spread rapidly from computer to computer and network to network. Remote workers often work without any network perimeter security, thus missing out on a critical part of layered cybersecurity defense. Mobile Malware. Deepfakes.

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Malware Software Review Artificial Inteligence Systems Review 136

Palo Alto Networks

MAY 23, 2019

SOC Manager, will be giving attendees a rare glimpse into the Palo Alto Networks Security Operations Center (SOC). Here’s an exclusive preview of how we’ve used Cortex XDR to hunt, identify, and remediate a piece of persistent malware. How to hunt for persistent malware. Looking through these tabs, we find: 1. Step 5: Remediate.

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Malware Weak Development Team Network Knowledge Base 71

OTS Solutions

DECEMBER 5, 2019

The cloud service provider (CSP) charges a business for cloud computing space as an Infrastructure as a Service (IaaS) for networking, servers, and storage. 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. Workers wait longer for updates to complete.

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Enterprise Cloud Data Center Virtualization 42

Palo Alto Networks

NOVEMBER 8, 2021

1, 2021, Gartner named Palo Alto Networks a Leader for the tenth consecutive time in its Gartner® Magic Quadrant for Network Firewalls for 2021. We feel that our tenth recognition as a Leader in the Gartner Magic Quadrant for Network Firewalls gives us an opportunity to celebrate the transformative innovations of the last ten years.

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Firewall Network Malware Research 98

CIO

MARCH 19, 2024

And so, just as malware countermeasures evolved from standalone antivirus measures to cybersecurity as a whole industry, we can expect a similar trajectory for deepfake countermeasures as the war on reality heats up. It’s what neural networks do. There’s no reason to expect a machine-learning AI to be immune from this fallacy.

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CIO

JANUARY 20, 2023

By Anand Oswal, Senior Vice President and GM at cyber security leader Palo Alto Networks Connected medical devices, also known as the Internet of Medical Things or IoMT, are revolutionizing healthcare, not only from an operational standpoint but related to patient care. But ransomware isn’t the only risk. Simplify operations.

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IoT Healthcare Compliance Journal 151

Palo Alto Networks

JUNE 25, 2020

While the term “Zero Trust” may immediately make you think of network security, a proper Zero Trust strategy extends beyond network. With data and applications being accessed from distributed devices, the prevention-first approach and security policy should be consistent and coordinated between your endpoints and your network.

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Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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CIO

JULY 17, 2023

Malware Distribution: Cloud exploitation can involve hosting or distributing malware through cloud-based platforms or services. Attackers may upload malicious files or applications to cloud storage or use cloud infrastructure to propagate malware to unsuspecting users. Network Security

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Cloud How To Malware Open Source 148

Palo Alto Networks

SEPTEMBER 26, 2023

He sits down with Yoni Allon, VP Research, to discuss how Palo Alto Networks leverages artificial intelligence (AI) to enhance cybersecurity in our SOC. Palo Alto Networks stands as a cybersecurity stalwart, safeguarding the network and security environments for nearly one hundred thousand organizations across the globe.

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Artificial Inteligence Artificial Intelligence Malware Machine Learning 111

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.

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Artificial Inteligence Examples Applications Machine Learning 93

Palo Alto Networks

OCTOBER 2, 2024

Logging libraries often interact with various services within a system, making it easy to distribute malware rapidly and potentially compromise entire networks in a short time frame. Plus, machine learning models can analyze patterns in software code and predict potential weak points, making it easy to implement a targeted approach.

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Weak Development Team Software Review Malware Systems Review 120

Palo Alto Networks

MAY 2, 2023

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.

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Azure Cloud Firewall Spyware 124

CTOvision

FEBRUARY 25, 2014

Cylance PROTECT takes a mathematical approach to malware identification, utilizing patent-pending machine learning techniques instead of signatures and sandboxes. This technique effectively renders new malware, viruses, bots and unknown future variants useless. Co3 Systems. Light Cyber.

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Conference Analytics CTO Innovation 109

O'Reilly Media - Ideas

MAY 3, 2022

GLAM uses a Mixture-of-Experts (MoE) model, in which different subsets of the neural network are used, depending on the input. FOMO (Faster Objects, More Objects) is a machine learning model for object detection in real time that requires less than 200KB of memory. Google has released a dataset of 3D-scanned household items.

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Artificial Inteligence Trends Energy Software Review 121

Palo Alto Networks

NOVEMBER 9, 2023

Our blog and video series, “ This is How We Do It, ” offers a behind-the-scenes, candid exposé of how Palo Alto Networks protects its security operations center (SOC) using its own solutions. Through a combination of machine learning and human expertise, Devin and his team reduce the number of critical alerts that require attention.

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Palo Alto Networks

FEBRUARY 25, 2020

NSS Labs’ Advanced Endpoint Protection Test put leading endpoint security products through 45,000 attack test cases across all tested products including malware, exploits, blended threats, unknown threats, evasions, handcrafted attacks and resistance to tampering. . Cortex XDR blocked 98.4% of samples) as well as via HTTP (99.3%).

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Ivanti

APRIL 13, 2021

Nation state funded advanced persistent threat (APT) actors also use the same machine learning and artificial intelligence models that the good guys employ to detect threats. The most common phishing attack tools are delivered through email, attachments, text and multimedia messages, and malicious advertisement networks.

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Artificial Inteligence Malware Mobile Machine Learning 98

Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

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