CTOvision

JANUARY 15, 2021

Read Boing Boing’s review of Cylance’s new anti-virus protection powered by artificial intelligence and machine learning: Malware is everywhere. 350,000 new pieces of malware are discovered every day, which breaks […].

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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. Going forward, we’ll see an expansion of artificial intelligence in creating.

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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. Lastly, the interview touches on the evolving landscape of AI, particularly large language models (LLMs). It’s a brave, new world, but in a good way.

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Palo Alto Networks

OCTOBER 16, 2024

Deploy AI and machine learning to uncover patterns in your logs, detections and other records. GenAI and Malware Creation Our research into GenAI and malware creation shows that while AI can't yet generate novel malware from scratch, it can accelerate attackers' activities.

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Ooda Loop

APRIL 2, 2025

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

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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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Network Artificial Inteligence Machine Learning Serverless 98

CIO

APRIL 1, 2025

Threat actors are already using AI to write malware, to find vulnerabilities, and to breach defences faster than ever. At the same time, machine learning is playing an ever-more important role in helping enterprises combat hackers and similar. new and unique attacks. [1]

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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.

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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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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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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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Machine Learning Artificial Inteligence Malware 72

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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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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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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Palo Alto Networks

FEBRUARY 14, 2024

Our objective is to present different viewpoints and predictions on how artificial intelligence is impacting the current threat landscape, how Palo Alto Networks protects itself and its customers, as well as implications for the future of cybersecurity.

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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

MARCH 19, 2024

Ask your average schmo what the biggest risks of artificial intelligence are, and their answers will likely include: (1) AI will make us humans obsolete; (2) Skynet will become real, making us humans extinct; and maybe (3) deepfake authoring tools will be used by bad people to do bad things. And yet, we infer causation — the Curse!

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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

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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O'Reilly Media - Ideas

MAY 3, 2022

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient. It’s part of the TinyML movement: machine learning for small embedded systems.

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Artificial Inteligence Trends Energy Software Review 121

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. This leads to faster development cycles and improved productivity.

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Hacker Earth Developers Blog

OCTOBER 17, 2022

#3- Artificial Intelligence specialist. Artificial intelligence and machine learning are two branches of tech that have been causing quite a stir in recent years. A good artificial intelligence specialist should know about the following: Machine learning. Deep Learning.

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Palo Alto Networks

NOVEMBER 9, 2023

Through a combination of machine learning and human expertise, Devin and his team reduce the number of critical alerts that require attention. It touches on the significance of artificial intelligence in cybersecurity and the ongoing concern of adversarial attacks.

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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 new behaviors to the verified trust models.

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OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. This leads to faster development cycles and improved productivity.

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Artificial Inteligence Applications Machine Learning Artificial Intelligence 130

iTexico

FEBRUARY 4, 2020

Artificial Intelligence and Cyber Security | iTexico. If you were asked about artificial intelligence 20 years ago, there's a high probability that your mind would have wandered to the thought of highly smart and autonomous robots taking over most human tasks. Malware threats. Identifying Suspicious Activity.

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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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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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Artificial Inteligence Machine Learning Training Performance 52

Palo Alto Networks

AUGUST 2, 2024

Artificial intelligence (AI) is at the forefront of business innovation. Business use of AI apps spans nearly every type of application, including supply chain optimization, process automation, customer service chatbots, virtual assistants, data analysis, logistics monitoring, fraud detection, competitive intelligence and more.

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O'Reilly Media - Ideas

AUGUST 2, 2022

The large model train keeps rolling on. Artificial Intelligence. Researchers have used reinforcement learning to build a robotic dog that learns to walk on its own in the real world (i.e., Princeton held a workshop on the reproducibility crisis that the use of machine learning is causing in science.

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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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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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Xebia

APRIL 26, 2023

However, potential security risks and vulnerabilities must be addressed as with any technology that relies on NLP and machine learning. It takes in an input sequence of text and generates a corresponding output sequence. These posts and articles often exaggerate the severity of the threat and can cause unnecessary panic and fear.

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O'Reilly Media - Ideas

NOVEMBER 2, 2021

I’m fascinated by the use of large language models to analyze the “speech” of whales, and to preserve endangered human languages. Microsoft and NVIDIA announce a 530 billion parameter natural language model named Megatron-Turing NLG 530B. That’s bigger than GPT-3 (175B parameters).

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Altexsoft

JUNE 2, 2020

This is where Artificial Intelligence (AI) comes in. 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.

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Tenable

JANUARY 26, 2024

Cyber agencies from multiple countries published a joint guide on using artificial intelligence safely. 1 - Using AI securely: Global cyber agencies publish new guide Is your organization – like many others – aggressively adopting artificial intelligence to boost operational efficiency? And much more!

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