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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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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AWS Machine Learning - AI

JANUARY 22, 2025

Asaf has more than six years of both academic and industry experience in applying state-of-the-art and novel machine learning methods to the domain of networking and cybersecurity. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

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The Crazy Programmer

NOVEMBER 6, 2021

hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. You are also under TensorFlow and other technologies for machine learning. Nowadays, most companies want to protect themselves from malware, hacking and harmful viruses.

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CIO

JULY 25, 2024

The already heavy burden born by enterprise security leaders is being dramatically worsened by AI, machine learning, and generative AI (genAI). Easy access to online genAI platforms, such as ChatGPT, lets employees carelessly or inadvertently upload sensitive or confidential data.

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TechCrunch

SEPTEMBER 27, 2021

Malloc’s co-founders Maria Terzi, Artemis Kontou and Liza Charalambous built the app around a machine learning (ML) model, which allows the app to detect and block device activity that could be construed as spyware recording or sending data. That’s where Malloc says Antistalker comes in. Image Credits: Malloc/supplied.

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Toptal

JULY 20, 2017

Learn how machine learning can be deployed to protect autonomous cars from cyberattacks and malware. Security is a critical concern for self-driving cars.

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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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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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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. With such a staggering rate of new threats emerging, traditional SOCs simply cannot keep up using manual analysis and outdated solutions.

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InfoQ Culture Methods

DECEMBER 7, 2020

The book Cybersecurity Threats, Malware Trends and Strategies by Tim Rains provides a overview of the threat landscape over a twenty year period. It provides insights and solutions that can be used to develop an effective cybersecurity strategy and improve vulnerability management. By Ben Linders, Tim Rains.

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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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DevOps.com

MAY 15, 2019

The post SecureAge Integrates Artificial Intelligence Powered APEX Anti-Malware Engine in VirusTotal appeared first on DevOps.com.

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TechCrunch

OCTOBER 27, 2022

. “Versa’s portfolio in SASE converges security and networking,” Ahuja said, noting that Versa has a “sizable” team working on machine learning and AI-based malware detection.

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Palo Alto Networks

JANUARY 8, 2025

Malicious browser extensions can introduce malware, extract data, or create backdoors for future attacks. Advanced threat intelligence and machine learning algorithms detect anomalies, phishing attempts, malicious file uploads and downloads and data leakage. This also extends SASE security to unmanaged devices.

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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. Manufacturing.

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Palo Alto Networks

MAY 23, 2019

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. In the below screenshot, oMO.exe is identified as malware, which is why it shows up in red. We first issue a reimage of the system given that it was affected by malware.

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The Crazy Programmer

NOVEMBER 10, 2021

For instance, it will notice when a host has been infected with malware and tries to spread the malware across the network. An Anomaly-based Intrusion Detection System (AIDS) is designed to pinpoint unknown cybersecurity attacks such as novel malware attacks. It will compare the attacks against an established baseline.

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Tenable

NOVEMBER 29, 2024

AI-powered systems continuously refine their algorithms as new malware strains and attack techniques emerge, learning from each event and integrating new insights into their threat detection mechanisms. One of AI's significant advantages in threat detection is its ability to be proactive.

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CIO

OCTOBER 19, 2023

You can also use Power BI to prepare and manage high-quality data to use across the business in other tools, from low-code apps to machine learning. If you have a data science team, you can also make models from Azure Machine Learning available in Power BI using Power Query.

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CIO

MARCH 10, 2023

Automation, AI, and vocation Automation systems are everywhere—from the simple thermostats in our homes to hospital ventilators—and while automation and AI are not the same things, much has been integrated from AI and machine learning (ML) into security systems, enabling them to learn, sense, and stop cybersecurity threats automatically.

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CIO

JUNE 25, 2024

Malicious browser extensions can introduce malware, exfiltrate data, or provide a backdoor for further attacks. Advanced threat intelligence and machine learning algorithms detect anomalies, phishing attempts, malicious file upload and download, and malware infections.

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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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OTS Solutions

DECEMBER 5, 2019

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. Cloud security is a co-obligation of the CSP and the enterprise.

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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. 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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DataRobot

JULY 20, 2021

Cyber and malware analysts have a critical role in detecting and mitigating cyberattacks. A reliable partner for cybersecurity analysts is AI and machine learning. A reliable partner for cybersecurity analysts is AI and machine learning. Generally, AI and machine learning (e.g., Malware Use Case.

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Xicom

MAY 4, 2021

Imagine what all other users would have learned till now, and how will the union of Machine Learning with mobile app development behave post-2021. What makes mobile app development companies in Dubai and worldwide after this amalgamation “Machine learning with Mobile Apps”? Hello “Machine Learning” .

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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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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. There’s no reason to expect a machine-learning AI to be immune from this fallacy. Quite the opposite.

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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.

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Invid Group

FEBRUARY 26, 2019

Applying Machine Learning and AI to Improve Cyber Security BY: EMMANUEL URIAS. The next big thing in information technology and data security is the incorporation of machine learning and artificial intelligence systems. Artificial Intelligence and Machine Learning for Cybersecurity.

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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. Some can even automatically respond to threats.

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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.

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Palo Alto Networks

JUNE 25, 2020

You must protect endpoints from known and unknown malware, exploits, and fileless attacks, blocking bad actors before they can even attempt to penetrate the network. You should look for tools that apply machine learning to endpoint data to increase detection accuracy. How Cortex XDR Enables Zero Trust.

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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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CTOvision

OCTOBER 6, 2015

PCworld on Macrobased Malware. Microsoft on Macro Malware. Trendmicro on Macro Malware. Moreover, even in the context of attacks that are file-based, malware is increasingly encrypted or packed using obfuscation engines, and then unpacked or decrypted in memory when executed. See: Security Ledger on Fessleak.

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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. apply machine learning to proactively stop unknown threats, secure IoT devices and reduce errors with automatic policy recommendations. The 70+ innovative new capabilities in PAN-OS 10.0

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