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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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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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 this blog post, we will explore ChatGPT’s IT security flaws and discuss why you shouldn’t believe everything you read. However, potential security risks and vulnerabilities must be addressed as with any technology that relies on NLP and machine learning.

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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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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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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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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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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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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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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. 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.

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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

DECEMBER 22, 2023

Learn how the cyber world changed in areas including artificial intelligence, CNAPP, IAM security, government oversight and OT security. Yes, cyberattackers quickly leveraged GenAI for malicious purposes, such as to craft better phishing messages , build smarter malware and quickly create and spread misinformation.

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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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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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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

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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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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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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Tenable

SEPTEMBER 2, 2022

Securing machine learning systems. Europe and Asia-Pacific: Regarding the most significant threats facing their organizations, most respondents included ransomware (67%), followed by insider threats (32%), nation/state attacks (31%) and malware attacks (21%.). Adversarial machine learning explained ” (CSO). “

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Palo Alto Networks

MARCH 13, 2020

Artificial intelligence (AI) for security isn’t autonomous – yet. The art of utilizing machine learning (ML) is therefore in perfecting how it augments human intuition and curiosity, and in automating this unity to the maximum extent. Register today! . We’re Not Done Yet.

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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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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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Palo Alto Networks

MARCH 12, 2024

Four — Domain Expertise Is Critical and Hard to Find Unlike many other domains, validating models requires unique cybersecurity expertise. Classifying if a traffic light is green or red doesn’t need a specialist, whereas classifying if a file is malicious requires a malware analysis expert. Like What You Read?

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Prisma Clud

SEPTEMBER 21, 2023

In response, the Zero Trust model emerged as a more effective security framework. In this blog post, we delve into Zero Trust and the best practices that exemplify it in cloud environments. The post Zero Trust Security Model in Cloud Environments appeared first on Palo Alto Networks Blog. Palo Alto Networks.

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Ivanti

SEPTEMBER 9, 2021

Within the initial blog in this series , we discussed ransomware attacks and their remediation on Android mobile devices. Often these third-party apps have not been rigorously tested for vulnerabilities and can contain malware and malicious exploits that can then take complete control of your device without you knowing.

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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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Datavail

MARCH 3, 2022

Emerging business intelligence (BI) and analytics software offers unmatched opportunities to companies of all sizes to meet their current market demand and thrive into the post-COVID era. Data Science = Business Intelligence. The process is more of an approach to computing than an individual technology. Contact an Expert ».

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Cloudera

OCTOBER 20, 2022

AI and machine learning (ML) are technologies that demonstrate promise toward automating malware disposition functions and enabling humans to perform higher level functions — moving past signature tracking as the only way to begin to get ahead of malicious cyber threats. . I look forward to seeing you there.

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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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Palo Alto Networks

NOVEMBER 8, 2021

We also brought the power of inline machine learning to our Cloud-Delivered Security Services , where we pioneered market leading threat coverage in DNS Security, web protection from unknown threats in Advanced URL Filtering and real-time protection with WildFire malware analysis.

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Palo Alto Networks

SEPTEMBER 8, 2021

Developers and DevOps Teams Can Now Use Prisma Cloud’s Advanced Machine Learning to Prevent Dynamic Threats Before They are Deployed Into Operational Environments. The post Prevent Container Risks With Advanced Container Image Sandboxing appeared first on Palo Alto Networks Blog.

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Palo Alto Networks

OCTOBER 22, 2021

Most notably, the lack of control over SaaS application usage introduces risks of data loss, malware and non-compliance. Cortex XDR completes this secure Workspace offering as the industry’s first extended detection and response platform that uses machine learning and AI models to uncover highly evasive threats.

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Palo Alto Networks

APRIL 23, 2020

Any truly complete approach to MDR should rely on technologies providing behavioural threat analysis, using techniques that include machine learning, artificial intelligence and human intelligence. Learn more about our Managed Threat Hunting service. Deploy multilayered prevention as a standard.

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Palo Alto Networks

MAY 12, 2021

Domain Generation Algorithm (DGA) – Attackers develop DGAs so that malware can quickly generate a list of domains that can be used to provide instructions and receive info from the malware. Unit 42 has recently seen multiple instances of malware and the threat actors behind it abusing DNS to achieve malicious goals.

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Palo Alto Networks

FEBRUARY 6, 2020

Unprecedented analytics : 7 trillion threat artifacts and 14 billion malware samples crowdsourced from 35,000+ organizations inform our industry-leading researchers and machine learning models. WildFire analysis, included standard with Cortex XDR, takes the guesswork out of malware analysis. .

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Prisma Clud

DECEMBER 5, 2023

The rise of AI, machine learning and surging interest in generative AI have increased the volume of data that organizations store in the cloud, creating new risk vectors related to the models themselves. The post CNAPP, DSPM and DDR: A New Age in Cloud Security appeared first on Palo Alto Networks Blog.

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