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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Malware Trends Strategy Artificial Inteligence 115

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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Machine Learning Artificial Inteligence CTO Malware 361

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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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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Artificial Inteligence Machine Learning Artificial Intelligence Malware 40

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 61

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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Cloud How To Malware Open Source 246

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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Artificial Inteligence Artificial Intelligence Malware Engineering 72

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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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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ChatGPT Banking Enterprise Artificial Inteligence 234

Palo Alto Networks

JUNE 6, 2023

In this third episode of " This Is How We Do It, " we delve into the world of artificial intelligence (AI) and machine learning (ML) with Billy Hewlett, leader of the AI research team here at Palo Alto Networks and grandson of Bill Hewlett from the Hewlett Packard Corporation. And all of this is done by machine learning.

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Firewall Artificial Inteligence Machine Learning Malware 52

Infinidat

MARCH 7, 2024

Comprehensive machine learning detects ransomware and malware attacks with up to 99.5% So, what if you could have your SIEM or SOAR-based security information and management system fire-up InfiniSafe Cyber Detection to probe suspected ransomware and malware in files that the Security Operations Center (SOC) team has detected.

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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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Spyware Mobile Machine Learning Artificial Inteligence 247

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. Every alert that enters the SOC undergoes some level of automation, with a goal to automate as many as possible, allowing the team to focus on proactive threat hunting.

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CIO

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.

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Palo Alto Networks

MAY 7, 2024

For example, they repurpose malware and often use off-the-shelf toolkits like CobaltStrike and Brute Ratel C4 to exploit weaknesses and take malicious actions with minimal effort. Develop Malicious Code – Threat actors can use AI tools to create malware and other code, even if they don’t have coding skills.

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Artificial Inteligence Weak Development Team Malware Off-The-Shelf 52

Tenable

AUGUST 25, 2023

When asked to name their organizations’ emerging top risk in the next two years, a majority of respondents (56%) picked attacks that leverage artificial intelligence and machine learning. Bucking a trend where department budgets are shrinking by 7% annually on average, security budgets rose 4.6 on average in 2023 compared with 2022.

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Malware Artificial Inteligence Open Source Artificial Intelligence 98

Lacework

DECEMBER 13, 2023

Lacework is pushing boundaries with further integration of technologies like Artificial Intelligence (AI) and Machine Learning (ML). This model recognizes patterns used by malware in command and control communication channels, based on MITRE ATT&CK T1568.002. The journey doesn’t end with data capture and analysis.

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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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Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

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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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. Enhanced Security Measures AI and ML can help identify and prevent security threats, such as malware and hacking attempts.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

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. Enhanced Security Measures AI and ML can help identify and prevent security threats, such as malware and hacking attempts.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

MAY 24, 2023

Along with the promise is the peril of AI being used to cause harm by launching more efficient malware, creating sophisticated deepfakes, or by unintentionally disclosing code or trade secrets. Learn more about AI, security, and other pressing infosec issues at CSO’s Future of Cybersecurity Summit , a virtual event taking place June 8.

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Malware Generative AI Guidelines Machine Learning 130

Lacework

DECEMBER 13, 2023

Lacework is pushing boundaries with further integration of technologies like Artificial Intelligence (AI) and Machine Learning (ML). This model recognizes patterns used by malware in command and control communication channels, based on MITRE ATT&CK T1568.002. The journey doesn’t end with data capture and analysis.

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Artificial Inteligence Data Malware Machine Learning 98

Infinidat

NOVEMBER 30, 2023

This optional component of our core InfiniSafe cyber security solution provides our customers with critical added functionality to help secure, understand, and be able to quickly recover any protected data that may be compromised by a ransomware or malware attack. Our announcement blog from May 2023 is here. We are not standing still!

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Malware Storage Machine Learning Artificial Inteligence 65

CIO

JANUARY 20, 2023

As these devices communicate across clinical environments and with external networks and services, they ensure that you establish baseline behavior, monitor devices for anomalous behavior, and protect network-connected devices against threats such as malware. Simplify operations. What is the device? What is the device supposed to do?

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IoT Healthcare Compliance Journal 215

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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Artificial Inteligence Examples Applications Machine Learning 93

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Artificial Inteligence Generative AI Security Applications 119

Hacker Earth Developers Blog

OCTOBER 17, 2022

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. Be it from hackers, malware, online phishing, and many more. What do they do?

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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

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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Firewall Network Report Enterprise 98

CIO

NOVEMBER 7, 2023

Modern advancements like artificial intelligence (AI) machine learning and blockchain-based networks specifically have an impact in this area. Without proper training, they can fall victim to phishing attacks, inadvertently download malware, or mishandle sensitive data.

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Infrastructure Backup Systems Review Artificial Inteligence 323

Prisma Clud

MARCH 21, 2023

For instance a malware could download a payload from a URL known to host malware. Monitoring DNS traffic will allow you to detect incidents that can have serious consequences, including service downtime, resources and data theft, infiltration, or even malware infections.

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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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Testing Malware Machine Learning Artificial Inteligence 89

Cloudera

AUGUST 17, 2023

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. However, issues arise when authors that lack a rigorous process compile their code into machine language, aka binaries. Its transformative impact advances multiple fields from genetics to medicine to finance.

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Artificial Inteligence Applications ChatGPT Open Source 74

Palo Alto Networks

MAY 2, 2023

Then there’s Advanced Threat Protection , which stops unknown exploits, malware, spyware and command and control (C2) while utilizing inline deep learning to halt zero-day attacks in real time. WildFire combines dynamic, static and machine learning analysis techniques to detect and prevent file-based threats.

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Azure Cloud Firewall Spyware 111

Lacework

JANUARY 25, 2023

Whether you’re facing a sophisticated phishing attack or a form of never-before-seen malware (also known as an “unknown threat” or “unknown unknown”), threat detection and response solutions can help you find, address, and remediate the security issues in your environment. If not detected, malware can cause downtime and security breaches.

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Ivanti

JANUARY 19, 2022

Ransomware, on the other hand, was responsible for most data breaches caused by malware. machine learning artificial intelligence (AI),?automation, against known and zero-day vulnerabilities, zero-click exploit kits developed by the NSO Group, fileless malware and the adoption of the “as-a-service” business model.

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