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 With such a staggering rate of new threats emerging, traditional SOCs simply cannot keep up using manual analysis and outdated solutions.

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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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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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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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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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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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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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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. This leads to faster development cycles and improved productivity.

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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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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

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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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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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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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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Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

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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

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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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. But, I think soon the attackers are going to start using LLMs.

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O'Reilly Media - Ideas

MAY 3, 2022

FOMO (Faster Objects, More Objects) is a machine learning model for object detection in real time that requires less than 200KB of memory. It’s part of the TinyML movement: machine learning for small embedded systems. The malware targets WatchGuard firewalls and Asus routers.

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Tenable

OCTOBER 27, 2023

Check out how organizations’ enthusiasm over generative AI is fueling artificial intelligence adoption for cybersecurity. In addition, learn about a new set of best practices for protecting cloud backups. Plus, how CISA plans to revamp the U.S. government’s cyber incident response plan.

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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

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AWS Machine Learning - AI

JUNE 11, 2024

Artificial intelligence (AI) has revolutionized the way organizations function, paving the way for automation and improved efficiency in various tasks that were traditionally manual. Eitan Sela is a Generative AI and Machine Learning Specialist Solutions Architect at AWS.

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TechFides Blog

AUGUST 25, 2023

Worse, those bad guys are already working to subvert AI cyber defenses with their own black hat weaponized AI developed malware and methodologies. AI-driven malware could adapt and evolve in real time, making it harder to detect and mitigate. The post Artificial Intelligence in the Cyber Security Arena appeared first on TechFides.

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Tenable

JANUARY 3, 2025

Those are just some of the requests that the Treasury Department received after it asked for feedback about artificial intelligence (AI) use in the financial industry. For more information about the risks and opportunities of AI in the financial industry: Artificial Intelligence and Machine Learning in Financial Services (U.S.

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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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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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Ivanti

SEPTEMBER 13, 2024

This is because attackers have been able to capitalize on three key developments: Today’s attackers can quickly weaponize vulnerabilities, and artificial intelligence tools are making that even easier. Gone are the days of lengthy disclosure windows.

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CTOvision

JUNE 28, 2016

In a recent interview with Charlie Rose, he stated that machine learning showed great promise for cybersecurity, but that the necessary technology was probably five years out. If machine learning is currently so successful in other areas of society, why isn’t it ready for cybersecurity? Types of Machine Learning.

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CIO

MAY 23, 2023

Cyber disruptions are more devastating Today’s cyber threat landscape continues to accelerate, both in volume and sophistication, which is increasing the demand for high levels of automation as well as solutions that take advantage of artificial intelligence (AI) and machine learning (ML).

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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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