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.

Artificial Inteligence 52

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

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. Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

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. If you’re not, consider signing up.

ChatGPT 234

ChatGPT Banking Enterprise Artificial Inteligence 234

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. Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Lacework

DECEMBER 13, 2023

Lacework continuously invests in refining the mechanisms of data capture and analysis within cloud environments. The journey doesn’t end with data capture and analysis. Lacework is pushing boundaries with further integration of technologies like Artificial Intelligence (AI) and Machine Learning (ML).

Artificial Inteligence 120

Artificial Inteligence Data Malware Machine Learning 120

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.

Firewall 52

Firewall Artificial Inteligence Machine Learning Malware 52

CIO

NOVEMBER 7, 2023

This analysis isn’t just a statistical exercise but a crucial necessity in our interconnected world, where the security of our digital infrastructure is intertwined with our physical safety and economic stability. A BCP typically includes four steps: business impact analysis, recovery strategies, plan development, and testing and exercises.

Infrastructure 328

Infrastructure Backup Systems Review Artificial Inteligence 328

Lacework

DECEMBER 13, 2023

Lacework continuously invests in refining the mechanisms of data capture and analysis within cloud environments. The journey doesn’t end with data capture and analysis. Lacework is pushing boundaries with further integration of technologies like Artificial Intelligence (AI) and Machine Learning (ML).

Artificial Inteligence 98

Artificial Inteligence Data Malware Machine Learning 98

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.

Artificial Inteligence 78

Artificial Inteligence Artificial Intelligence Machine Learning Firewall 78

Palo Alto Networks

FEBRUARY 21, 2020

On March 17, we’ll host a webinar called “ Leverage Your Firewall to Expose Attackers Hiding in Your Network ” to share tips on how you can use your firewall for network traffic analysis. Network traffic analysis (NTA) – sometimes called network detection and response – is one such tool that provides that visibility. Register today!

Firewall 57

Firewall Analysis Network How To 57

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.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

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

Firewall 98

Firewall Network Report Enterprise 98

Lacework

AUGUST 9, 2022

Do you know that cryptojacking, also called malicious cryptomining, is now the most popular malware deployed in the cloud? However, any technology solution that you use must first understand and learn the normal behavior in your unique environment to flag suspicious or anomalous activities more effectively. What is the new capability?

Analysis 40

Analysis Malware AWS Cloud 40

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.

Security 52

Security Malware Artificial Inteligence Spyware 52

Palo Alto Networks

MARCH 12, 2024

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. As there’s a scarcity of those experts and doing supervised learning is the golden path for cybersecurity AI, that creates another key challenge to doing AI correctly in this space.

Systems Review 107

Systems Review Training Study Malware 107

O'Reilly Media - Ideas

MAY 19, 2020

This Service Helps Malware Authors Fix Flaws in their Code (Krebs on Security) — Of course the Bad Guys(tm) are going to want security audits. And last is the probabilistic nature of statistics and machine learning (ML). It is a software analysis platform. Of course! “We Second is AI’s tremendous complexity.

PHP 98

PHP Malware Open Source Machine Learning 98

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.

Azure 109

Azure Cloud Firewall Spyware 109

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.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

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. Discovering, classifying, and monitoring sensitive data are key to effective attack path analysis.

Cloud 52

Cloud Software Review Malware Analysis 52

Datavail

MARCH 3, 2022

Datavail’s BI and machine learning (ML) experts are adept at designing and implementing complex BI and ML systems to help their clients glean the most value from their data. Predictive analytics are used across the enterprise and are particularly helpful at fraud detection, malware detection, and image analyses.

Business Analytics 52

Business Analytics Analytics Machine Learning Artificial Inteligence 52

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. .

Malware 81

Malware Analysis Analytics Network 81

Infinidat

AUGUST 24, 2023

When a data infrastructure does not have the right level of cyber storage resilience, intruders can take advantage of the value of data by accessing critical enterprise storage resources and unleashing ransomware and malware, among other types of cyberattacks. InfiniSafe Cyber Detection uses advanced machine-learning models that provide 99.5%

Security 52

Security Storage Enterprise Malware 52

Prisma Clud

SEPTEMBER 21, 2023

Comprehensive visibility and monitoring: Implement continuous monitoring and analysis of network traffic, user behavior and security events to detect anomalies and potential threats. Their analysis reveals that the user's login credentials had been compromised.

Cloud 105

Cloud Network Policies Machine Learning 105

Tenable

JANUARY 26, 2024

Cybersecurity and Information Security Agency’s announcement “ CISA Joins ACSC-led Guidance on How to Use AI Systems Securely ” For more information about using AI securely: “ Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications ” ( Stanford University and Georgetown University) “ Considerations for Implementing (..)

Artificial Inteligence 115

Artificial Inteligence Artificial Intelligence Weak Development Team Technical Advisors 115

Kaseya

OCTOBER 3, 2023

Due to its ability to detect new-age threats, like zero-day and fileless malware, that are stealthy enough to bypass conventional AV and AM solutions, EDR is a must-have in today’s increasingly dangerous cybersecurity environment. Why is EDR important? What are EDR capabilities? What type of threats does EDR protect against?

Malware 52

Malware Software Review Systems Review Technical Review 52

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 latest release for Cloud Workload Protection includes: Container Security: Pre-Deployment image analysis Sandbox. Let’s dive into these new features.

Google Cloud 82

Google Cloud Serverless Azure Weak Development Team 82

Palo Alto Networks

JUNE 29, 2020

Threat hunting requires skills ranging from threat intelligence analysis, malware analysis, penetration testing, data science, machine learning and business analysis, plus knowledge of all the systems and data in place at the organization. Our panelists agreed: The perfect threat hunter rarely exists.

How To 97

How To Malware Exercises Systems Review 97

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.

Security 62

Security Artificial Inteligence Artificial Intelligence Malware 62

iTexico

FEBRUARY 4, 2020

AI applications are helping businesses stay ahead of these threats by detecting potentially malicious activities by utilizing complex algorithms to pattern recognize and detect viruses and malware. AI can also analyze data across multiple channels to identify spyware and malware before they hurt your system. Malware threats.

Artificial Inteligence 59

Artificial Inteligence Artificial Intelligence Malware Spyware 59

Kaseya

SEPTEMBER 18, 2023

Endpoint detection response (EDR) and extended detection and response (XDR) are top-of-the-line cybersecurity solutions that can mitigate this risk and shield your IT environment even against major security risks like malware and ransomware. They monitor endpoints constantly, respond to incidents quickly and can adapt to evolving threats.

Security 52

Security Systems Review Software Review Technical Review 52

Kaseya

JULY 2, 2021

The goal is to identify active and potential security threats that aren’t caught by traditional antivirus tools, including zero-day and fileless malware attacks, and quickly respond to them. One of the crucial advantages of an EDR is the built-in behavioral analysis capability. What Is Endpoint Detection and Response (EDR)?

Malware 82

Malware Disaster Recovery Analysis Analytics 82

O'Reilly Media - Ideas

AUGUST 3, 2020

One of the biggest issues facing machine learning is fitting it into current practices for deploying software. CML is an open source project developing tools for continuous integration and continuous deployment that are appropriate for machine learning. Google has introduced a toolkit for creating model cards.

Trends 103

Trends VR 3D Machine Learning 103

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?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Kaseya

MAY 11, 2023

The technicians can either review and analyze the information themselves or, even better, they can let AI, machine learning or AIOps handle the analysis. It can help detect malware, unsecured network devices and other vulnerabilities before they affect your data. But how do you know which metrics matter the most?

Network 72

Network Performance Weak Development Team How To 72

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.

Firewall 97

Firewall Network Malware Research 97

Palo Alto Networks

JULY 24, 2019

State-affiliated actors, responsible for more than half of public administration data breaches 1 combine never-before-seen malware with other techniques to infiltrate agencies and steal data or disrupt operations. Palo Alto Networks just announced the first and only cloud-delivered malware prevention service authorized for use for the U.S.

Malware 43

Malware Government Hardware Firewall 43

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. The solution also enables a detailed analysis of application use, preventing data loss and providing necessary regulatory compliance.

Google Cloud 76

Google Cloud Malware Compliance Machine Learning 76