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. Also, why boards of directors feel more comfortable with cybersecurity. Plus, how CISA plans to revamp the U.S.

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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

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. This series provides insights into a non-traditional SOC structure vs. a conventional four-tier model.

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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. Would AI Improve Cyber Security on its Own?

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The Crazy Programmer

NOVEMBER 6, 2021

Hence, it is one of the vast industries of India that can be suitable to build a secure career path. Because startups like Zerodha, Ola, and Rupay to large organizations like Infosys, HCL Technologies Ltd, all will grow at a mass scale. AI or Artificial Intelligence Engineer. Cybersecurity Specialist. Conclusion.

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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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Xebia

APRIL 26, 2023

In today’s digital world, Information Technology security is more important than ever. With the rise of technologies such as ChatGPT, it is essential to be aware of potential security flaws and take steps to protect yourself and your organization.

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CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

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TechFides Blog

AUGUST 25, 2023

Cyber security is no exception. 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. This could lead to more effective and targeted attacks.

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Tenable

DECEMBER 22, 2023

As we bid adieu to 2023, we highlight major trends that impacted cybersecurity professionals in the past 12 months. Learn how the cyber world changed in areas including artificial intelligence, CNAPP, IAM security, government oversight and OT security. Cybersecurity teams were no exception.

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Tenable

AUGUST 25, 2023

Plus, why security leaders are prioritizing security prevention tools. Oh, and the White House wants your input on open source security. That’s according to the study “The State of Cybersecurity Today” from Information Services Group (ISG), for which 204 executives from the world’s 2,000 largest companies were polled.

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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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CIO

MAY 24, 2023

The promise of generative AI means we are on the cusp of a rethinking of how businesses handle cybersecurity. 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.

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Infinidat

MARCH 7, 2024

Cybersecurity Regulations and Reporting in USA and EU Adriana Andronescu Thu, 03/07/2024 - 05:28 In 2024, businesses are coming under tighter compliance and cybersecurity reporting by government bodies in both the USA and EU countries. added to the 8-K, to disclose any cybersecurity incident. There is a new item 1.05

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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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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.

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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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Palo Alto Networks

MARCH 12, 2024

Applied AI in cybersecurity has many unique challenges, and we will take a look into a few of them that we are considering the most important. One — Lack of Labeled Data Unlike many other fields, data and labels are scarce in the cybersecurity space and usually require highly skilled labor to generate. This is unique to cybersecurity.

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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.

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Altexsoft

JUNE 2, 2020

This is where Artificial Intelligence (AI) comes in. These insights can help reduce response times and make companies compliant with security best practices. What Is Machine Learning and How Is it Used in Cybersecurity? Many modern security tools, like threat intelligence, already utilize machine learning.

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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. Many connected devices ship with inherent vulnerabilities.

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Palo Alto Networks

MAY 7, 2024

While artificial intelligence (AI) technology has been around for a while, there is no arguing that it has become mainstream over the last year. As a result, it is crucial for organizations to respond in kind by harnessing AI in their cybersecurity defense strategies.

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Toptal

JULY 20, 2017

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

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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.

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Trigent

SEPTEMBER 13, 2023

Yet, this formidable technology also brings forth risks requiring attention, particularly in cybersecurity and Intellectual Property (IP) rights. One is a glaring lack of basic cybersecurity measures, and two, given the low-risk and high-reward nature, cyber criminals target these businesses more often than large enterprises.

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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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TechCrunch

MAY 11, 2022

Securing the software supply chain is admittedly somewhat of a dry topic, but knowing which components and code go into your everyday devices and appliances is a critical part of the software development process that billions of people rely on every day. Why are cybersecurity asset management startups so hot right now?

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Cloudera

AUGUST 17, 2023

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard , to enabling text-to-AI image generators like Stable Diffusion , ML continues to drive innovation.

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Prisma Clud

JUNE 22, 2023

Enterprises taking advantage of cloud-native architectures now have 53% of their cloud workloads hosted on public clouds, according to our recent State of Cloud-Native Security Report 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.

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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. A Signature-based Intrusion Detection System (SIDS) keeps an eye on all traffic on a network and compares the traffic against databases of attack signatures or other known cybersecurity risks.

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Tenable

SEPTEMBER 2, 2022

Securing machine learning systems. Shifting security left – meaning, starting security checks earlier in the software development process – has been widely hailed. Most companies expect developers to do security code reviews, but many don’t provide them with security training. And much more!

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Infinidat

DECEMBER 5, 2023

What is the NIST Cybersecurity Framework and Why does it matter? innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST CSF is one of the most widely adopted security frameworks across all industries, worldwide.

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O'Reilly Media - Ideas

OCTOBER 3, 2023

Meta has released an open source dataset named FACET for testing AI models. The Toyota Research Institute has built robots with large behavior models that use techniques from large language models. This service allows you to use their infrastructure to train large language models at scale.

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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. billion loss related to securities sales. Malware hiding in the woodwork: The U.S. Don’t miss it.

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Cloudera

OCTOBER 20, 2022

Information technology has been at the heart of governments around the world, enabling them to deliver vital citizen services, such as healthcare, transportation, employment, and national security. Cybersecurity is a big data problem. All of these functions rest on technology and share a valuable commodity: data. .

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Palo Alto Networks

SEPTEMBER 6, 2023

Navigating the Tides of Change & Building a Resilient SOC Charting the course of my career, transitioning from a cybersecurity webmaster to chief information security officer (CISO), has given me unique insights (and scars) into the multifaceted nature of cybersecurity. The tools at our disposal were rudimentary.

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Lacework

DECEMBER 13, 2023

Why did the ML model break up with the cloud? The model couldn’t handle its altitude. Navigating the complexity of cloud security In ever-expanding cloud environments, security teams grapple with a significant challenge: discerning regular or “normal” activities from those that are risky or suspicious.

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