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. What can businesses do?

Cloud 148

Cloud How To Malware Open Source 148

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” .

Artificial Inteligence 52

Artificial Inteligence Machine Learning Mobile Development 52

Palo Alto Networks

AUGUST 22, 2024

Good hygiene can limit the damage potential of stolen credentials, but controls must go beyond strong passwords and multifactor authentication (MFA). As attackers act with greater sophistication and subtlety, AI and machine learning are becoming vital to detect attack patterns early and position defenders to respond with precision.

Malware 94

Malware Authentication Artificial Inteligence Machine Learning 94

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.

Artificial Inteligence 125

Artificial Inteligence Trends Energy Software Review 125

Ivanti

APRIL 13, 2021

Nation state funded advanced persistent threat (APT) actors also use the same machine learning and artificial intelligence models that the good guys employ to detect threats. Ransomware is malware whose sole purpose is to extort money from you. What is ransomware? Those solutions achieve around 27% user adoption success rate.

Artificial Inteligence 98

Artificial Inteligence Malware Mobile Machine Learning 98

Perficient

APRIL 15, 2025

Set password policies and MFA (Multi-Factor Authentication), and assign licenses upon creation. Standardize User Creation Use a user creation template or naming convention (e.g., firstname.lastname@company.com). Automate user provisioning through tools like Azure AD Connect or Microsoft Entra ID.

Azure 52

Azure Compliance Policies Groups 52

Ivanti

SEPTEMBER 13, 2024

Automated scanning tools and exploit kits readily available on the dark web let even less-technical attackers get in on the malware game. By analyzing exploit trends and software behavior, machine learning can identify the “known unknown” weaknesses with a higher likelihood of being exploited, even if they are still undocumented.

Weak Development Team 124

Weak Development Team Artificial Inteligence Software Review Firewall 124

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.

Artificial Inteligence 98

Artificial Inteligence Malware Artificial Intelligence How To 98

Kaseya

DECEMBER 23, 2020

These tools may combine machine learning and intelligent tagging to identify anomalous activity, suspicious changes and threats caused by system misconfigurations. Malvertising, a portmanteau of malicious advertising, is the use of online ads to spread malware. Remote Worker Endpoint Security. Deepfakes.

Artificial Inteligence 106

Artificial Inteligence How To Malware IoT 106

Ivanti

SEPTEMBER 9, 2021

The quickest method to check for the presence of malware on your iPhone, iPad or macOS devices is to look for the presence of an unknown configuration profile within the Settings > General > VPN & Device Management settings. Victims would then be coerced to pay money to remove the malware from their devices or laptops.

Malware 97

Malware Backup Artificial Inteligence Mobile 97

Tenable

JANUARY 3, 2025

Dont use SMS as your second authentication factor because SMS messages arent encrypted. Instead, enable Fast Identity Online (FIDO) authentication for multi-factor authentication. Another good MFA option: authenticator codes. Require multi-factor authentication. Segment your network.

Artificial Inteligence 118

Artificial Inteligence Banking Artificial Intelligence IoT 118

Kaseya

JUNE 24, 2019

In 2017, 50,000 cyber-attacks were targeted at IoT devices, an increase of 600 percent from 2016 and the number of IoT-driven malware attacks surpassed 121,000 in 2018. Implement multi-factor authentication (MFA). Multi-factor authentication adds an extra layer of security to the login procedure beyond using just a password.

Backup 87

Backup Authentication Disaster Recovery IoT 87

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.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Palo Alto Networks

MAY 19, 2021

The industry’s first Cloud Identity Engine allows customers to easily authenticate and authorize their users across enterprise networks, clouds and applications, irrespective of where their identity stores live. This means it prevents vulnerability exploits, tunneling, malware, phishing and malicious websites. Enhanced Security.

Network 98

Network Firewall Authentication Data Center 98

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.

Artificial Inteligence 130

Artificial Inteligence Applications Machine Learning Artificial Intelligence 130

Kaseya

FEBRUARY 9, 2022

IoT devices are sort of mini-computers that use sensors to collect data and use machine learning to improve their functionality and performance. Because these devices connect to the internet, they are vulnerable to malware and hacking. It examines and filters all incoming traffic for different types of malware.

Technical Review 98

Technical Review Technology Disaster Recovery Malware 98

Ivanti

APRIL 4, 2021

Since our machine learning (ML) threat detection engine resides on the device and is further assisted by our cloud-based engine, UEM and MTD have a much better chance of detecting and mitigating most of today’s security threats by minimizing the attack surface at the beginning of the exploit.

Policies 93

Policies Mobile Malware Firewall 93

Kaseya

NOVEMBER 9, 2020

Two-Factor Authentication (2FA). 2FA is a login verification process that adds a second layer of authentication to users that access your IT systems. EDR specifically involves the detection of malware and other threats to your endpoints as well as finding ways to respond to these threats. Conclusion.

Disaster Recovery 110

Disaster Recovery Backup Artificial Inteligence Technical Review 110

Ivanti

JUNE 7, 2024

They’re also advised to pursue AI and machine learning technologies to bolster their capabilities. Some might have a lower severity rating but are widely exploited as they are easy to exploit or are used in automated attacks or malware campaigns. password), something you have (e.g., phone), or something you are (e.g.,

Malware 85

Malware Software Review Authentication Weak Development Team 85

O'Reilly Media - Ideas

AUGUST 2, 2022

Researchers have used reinforcement learning to build a robotic dog that learns to walk on its own in the real world (i.e., Princeton held a workshop on the reproducibility crisis that the use of machine learning is causing in science. AWS is offering some customers a free multi factor authentication (MFA) security key.

Artificial Inteligence 130

Artificial Inteligence Trends Open Source Machine Learning 130

Tenable

JANUARY 26, 2024

AI threats discussed in the document include: AI model data poisoning Input manipulation, including prompt injection Generative AI hallucination outputs Privacy and intellectual property violations Theft of AI models And here are some of the guide’s recommendations: Implement mitigations from cybersecurity frameworks relevant to your organization, (..)

Artificial Inteligence 122

Artificial Inteligence Artificial Intelligence Weak Development Team How To 122

CableLabs

AUGUST 15, 2024

At the forefront of this evolution are artificial intelligence and machine learning (AI/ML). Other key topics included increased usage of software bills of materials (SBOMs) and security threats associated with it, and zero-trust sessions focused on policy-based authentication.

Artificial Inteligence 75

Artificial Inteligence Trends Innovation Generative AI 75

O'Reilly Media - Ideas

MARCH 7, 2023

has announced a new way to build software with language models: provide a small number of examples (few shot learning), and some functions that provide access to external data. isn’t new, but it may be catching on, as machine learning gradually moves to the browser. Fake ChatGPT apps are being used to spread malware.

Artificial Inteligence 104

Artificial Inteligence Trends Software Review Open Source 104

Prisma Clud

AUGUST 15, 2024

Prisma Cloud’s agentless approach analyzes the network flow logs, audit events and DNS logs from your cloud service providers and applies machine learning to detect evasive threats and anomalous behavior. Malware Across Workloads One of the biggest misconceptions about threats is that they only target your running cloud instances.

Malware 59

Malware Cloud Windows Network 59

Openxcell

MARCH 2, 2022

is the next generation of Internet which grants websites and applications the ability to process data intelligently through Machine Learning (ML), Decentralised Ledger Technology, AI, etc. With the help of Machine learning, web 3.0 However, with web 3.0, vs Web 2.0 vs Web 3.0. Artificial Intelligence.

Technical Review 105

Technical Review Artificial Inteligence Blockchain 3D 105

Prisma Clud

SEPTEMBER 21, 2023

Under Zero Trust, every access request, irrespective of its origin, undergoes authentication and authorization. Leveraging advanced machine learning, Prisma Cloud monitors normal network behavior in each customer's cloud environment and detects network anomalies and zero-day attacks with remarkable accuracy.

Cloud 105

Cloud Network Policies Artificial Inteligence 105

Palo Alto Networks

APRIL 11, 2023

The following are some of the features 3GPP offers in a 5G standalone network: User Traffic Integrity Protection Subscriber Privacy Subscriber Identity Concealment Roaming Interface and Payload Security Mutual Authentication and Encryption Many of these features did not exist in 4G networks. And, is that file being downloaded malware?

Network 111

Network Wireless Enterprise Policies 111

Palo Alto Networks

AUGUST 22, 2024

Good hygiene can limit the damage potential of stolen credentials, but controls must go beyond strong passwords and multifactor authentication (MFA). As attackers act with greater sophistication and subtlety, AI and machine learning are becoming vital to detect attack patterns early and position defenders to respond with precision.

Malware 52

Malware Authentication Artificial Inteligence Machine Learning 52

Palo Alto Networks

JULY 21, 2020

This rise in encryption makes it critical for enterprises to have visibility and control within encrypted traffic as malware can easily evade security measures by hiding in encrypted data. Although 5G mandates authentication and encryption, these do not automatically equate to security. Decryption. 5G Networks. With PAN-OS 10.0,

WAN 98

WAN IoT Firewall Network 98

Ivanti

SEPTEMBER 21, 2023

Ransomware is one of the most common attack types seen in healthcare settings, but other threats such as phishing, emails, malware and malicious insiders can also lead to data loss. Employing advanced automation tools such as machine learning algorithms. Monitoring network traffic for anomalies or malicious behavior.

Healthcare 81

Healthcare Systems Review Analytics Software Review 81

Trigent

SEPTEMBER 13, 2023

Some of the threats include : Using AI to generate malware GPT-4, while hailed for its myriad benefits, possesses the potential for malicious intent, such as crafting intricate malware that defies conventional security protocols. These AI-driven threats evade conventional security measures and wreak havoc.

Artificial Inteligence 59

Artificial Inteligence Generative AI Authentication ChatGPT 59

Palo Alto Networks

OCTOBER 2, 2024

This vulnerability allowed attackers to bypass authentication altogether and execute malicious code directly on vulnerable servers. Hackers need only inject malicious code into seemingly harmless places, like chat boxes and login forms to gain access using this vulnerability, with no special permissions or authentication required.

Weak Development Team 52

Weak Development Team Software Review Malware Systems Review 52

Tenable

SEPTEMBER 20, 2024

Plus, a new MITRE Engenuity tool uses machine learning to infer attack sequences. Using a machine learning (ML) model, TIE then infers the following steps that attackers would most likely take. Periodically reboot IoT devices, which terminates running processes and may remove some malware types.

Infrastructure 78

Infrastructure Tools IoT Software Review 78

Palo Alto Networks

DECEMBER 31, 2020

Updated our machine learning models for our local analysis engine by including the malicious files in our training database and allowing the models to extract attributes similar to the Trojanized DLL files. . The first two detection rules uncover attempts to compromise authentication controls by analyzing Azure AD audit logs.

Azure 58

Azure Authentication Analysis Groups 58

Ivanti

JUNE 14, 2023

AI generated polymorphic exploits can bypass leading security tools Recently, AI-generated polymorphic malware has been developed to bypass EDR and antivirus, leaving security teams with blind spots into threats and vulnerabilities. EAP-TLS authentication for our IoT network devices managed over the air.

Weak Development Team 40

Weak Development Team Malware Authentication Windows 40

KitelyTech

FEBRUARY 15, 2023

It offers virtual machines for running applications as well as storage and other services. GCP provides customers with an end-to-end solution from infrastructure to application development by offering storage, computing power, machine learning tools, big data solutions and more.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Prisma Clud

SEPTEMBER 11, 2024

According to research by Mandiant, attackers stole credentials through the use of infostealer malware. Customers will often deploy Snowflake alongside other databases and data lakes as well as use it for OLAP workloads – analytics, dashboarding and machine learning. Advance Auto Parts has also revealed that 2.3

Data 59

Data Compliance Azure Storage 59