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. Common antivirus and anti-malware (AV/AM) tools usually won’t be effective against these threats. Insider threats require specialized tools.

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Backup Authentication Disaster Recovery IoT 87

Kaseya

NOVEMBER 9, 2020

Backup and Disaster Recovery. If you are an IT professional, you know how important it is to backup your critical systems so that data can be recovered in the event of a system failure due to a natural disaster, bad update, malicious cyberattack or other issues. SaaS apps have recently become the new attack vector for cybercriminals.

Disaster Recovery 110

Disaster Recovery Backup Artificial Inteligence Technical Review 110

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.

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Technical Review Technology Disaster Recovery Malware 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.

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Artificial Inteligence How To Malware IoT 106

Ivanti

JUNE 22, 2021

Despite ‘ransomware’ being the term that usually makes it into the headlines, social engineering, email phishing, and malicious email links are the major vectors that criminal organisations use to infiltrate environments and deploy their malware, and recent studies have shown that many successful attacks originate from a mobile device.

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Software Review Systems Review Technical Review Education 97

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, (..)

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Artificial Inteligence Artificial Intelligence Weak Development Team How To 122

Kaseya

DECEMBER 28, 2021

Furthermore, to make it easier for companies to manage multiple security components from one place, EPP platforms come equipped with vulnerability and patch management, configuration management, disk and encryption facilities, and backup and disaster recovery features to name a few. Endpoint protection vs. antivirus programs.

Malware 75

Malware Disaster Recovery Backup Network 75

Tenable

OCTOBER 27, 2023

In addition, learn about a new set of best practices for protecting cloud backups. Specifically, 36% of respondents said they haven’t yet used AI and machine learning for cybersecurity, but that they’re currently “seriously exploring” generative AI tools. Noticing that cloud backups have become a popular option, the U.K.

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Artificial Inteligence Artificial Intelligence Technical Review Backup 69

Infinidat

OCTOBER 3, 2024

InfiniSafe Cyber Detection, powered by CyberSense, extends cyber prevention further by validating the integrity of your immutable snapshots using powerful, AI -based machine learning scanning engines. But we didn’t stop there!

Development Team Review 57

Development Team Review Storage Technical Review Guidelines 57

Tenable

JANUARY 3, 2025

For more information about the risks and opportunities of AI in the financial industry: Artificial Intelligence and Machine Learning in Financial Services (U.S. Back up critical assets and store the backups offline. Regularly change passwords for network systems and accounts, and dont use default and weak passwords.

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Artificial Inteligence Banking Artificial Intelligence IoT 118

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.

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Malware Software Review Authentication Weak Development Team 85

Kaseya

AUGUST 2, 2024

For example, a technician running routine maintenance across hundreds of devices can automate updates, monitor performance and ensure backups run smoothly from a single dashboard. Antivirus: Robust malware and virus protection with real-time scanning and automatic updates. Backup Data loss can be catastrophic for any organization.

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Backup Artificial Inteligence Software Review Technical Review 52

Kaseya

AUGUST 2, 2024

For example, a technician running routine maintenance across hundreds of devices can automate updates, monitor performance and ensure backups run smoothly from a single dashboard. Antivirus: Robust malware and virus protection with real-time scanning and automatic updates. Backup Data loss can be catastrophic for any organization.

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Backup Artificial Inteligence Software Review Technical Review 52

Palo Alto Networks

AUGUST 22, 2024

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. About 42% of our investigations involved a backdoor, while 32% of malware-related matters had some kind of interactive C2 software.

Malware 52

Malware Authentication Machine Learning Artificial Inteligence 52

Altexsoft

JULY 18, 2022

Backup exposure —occurs when a backup storage media is not protected against attacks. For example, ransomware attacks target data and may destroy any unprotected backup copies to ensure victims have no other choice but to pay the ransom. You can mitigate this threat by limiting access to backups and using secure devices.

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Backup Malware Operating System Network 64

CTOvision

MARCH 8, 2017

In December, Evernote told customers it would start allowing employees to read some of their notes to help with training and developing its machine learning algorithms. In September, HP released what it billed as a security update to make sure its printers were safe from malware. Expectedly, backlash and swift and harsh.

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Technical Review Company Software Review Machine Learning 60

Kaseya

FEBRUARY 5, 2019

Without this constant barrage of news about new, widespread malware, you may be tempted to relax in your approach, convinced that whatever security you have in place is enough. Among the latest victims: backup files. Securing Backups. Step 1 — Copy: When it comes to backup, redundancy is not a bad thing!

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Disaster Recovery Backup Data Malware 40

Infinidat

JUNE 6, 2024

It’s vital to have a clean copy because if you recover data that has hidden malware or ransomware in it, you are going down a self-defeating path. Malware and ransomware do not pound their chest like King Kong. Other security scans that an enterprise does may not detect the malware or ransomware at all, even though it is hidden there.

Storage 69

Storage Enterprise Malware Systems Review 69

Infinidat

OCTOBER 4, 2023

With datastores moving between on-premises enterprise data centers and the public cloud, in hybrid environments, security experts agree that it’s vital to invest in creating secure datastores for both primary and secondary (backup) datasets that use immutable snapshots and air-gapping. Be vigilant! #3

Storage 71

Storage Development Team Review Malware Systems Review 71

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%

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Security Storage Enterprise Malware 52

Kaseya

DECEMBER 27, 2023

They can then use this advantage to conduct corporate espionage, steal confidential information or launch devastating cyberattacks, like malware, ransomware, phishing, advanced persistent threats (APTs) and more. Taking regular backups also helps to recover data easily in case of an incident and allows business to continue as usual.

Disaster Recovery 52

Disaster Recovery Malware Policies Backup 52

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. This mutation is not detectable by traditional signature-based and low-level heuristics detection engines.

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Weak Development Team Malware Authentication Windows 40

Strategy Driven

MAY 20, 2021

In this scenario, you need to learn to incorporate technology into your business model. Today’s technology consists of remote working, AI, machine learning, and applying them to your business. Your IT support should be able to find you the best cloud backup service. Data Backup and Restoration.

Technical Review 29

Technical Review Small Business Firewall Systems Review 29

Prisma Clud

MARCH 12, 2024

Malware Analysis Both internal and external users might need permissions to store data in an organization's cloud object storage (S3, Azure Blob, Google Cloud Storage). For example, an automated machine learning tool might allow user input in the form of XLSX files. Users need to be able to upload data. Azure and Snowflake).

Data 40

Data Malware Storage Compliance 40

Existek

OCTOBER 22, 2021

Malware attacks. Create a reliable backup. Use firewalls and malware detection systems. Python is perfect for working with AI and machine learning. It has a reliable memory backup and is highly portable. Artificial Intelligence And Machine Learning. How To Build A Fintech App And Avoid Risks.

Fintech 52

Fintech Software Review Technical Review UI/UX 52

Codegiant

NOVEMBER 9, 2020

Automatic daily backup feature. Pros Real-time protection against malicious websites and malware. Pros Very useful software for training and deploying machine learning models. There’s a bit of a learning curve. Pros Excellent tools for machine learning and artificial intelligence.

Software Review 64

Software Review Weak Development Team Tools Development 64

Codegiant

NOVEMBER 9, 2020

Automatic daily backup feature. Pros Real-time protection against malicious websites and malware. Pros Very useful software for training and deploying machine learning models. There’s a bit of a learning curve. Pros Excellent tools for machine learning and artificial intelligence.

Software Review 52

Software Review Weak Development Team Tools Development 52

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.

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Generative AI Artificial Inteligence Security Applications 137

O'Reilly Media - Ideas

JUNE 1, 2022

It is private by default, though it can be configured to use Amazon or Google as backups. Machine learning raises the possibility of undetectable backdoor attacks , malicious attacks that can affect the output of a model but don’t measurably detect its performance. Programming.

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Artificial Inteligence Trends Open Source 3D 143

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. It is effective at identifying malware with polymorphic codes that can go undetected by traditional security tools. Get A Demo.

Malware 82

Malware Disaster Recovery Analysis Analytics 82

O'Reilly Media - Ideas

JANUARY 25, 2024

PyTorch, the Python library that has come to dominate programming in machine learning and AI, grew 25%. We’ve long said that operations is the elephant in the room for machine learning and artificial intelligence. Interest in operations for machine learning (MLOps) grew 14% over the past year.

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Trends Technical Review Technology Artificial Inteligence 142

Infinidat

FEBRUARY 22, 2023

With datastores moving between on-premises enterprise data centers and the public cloud in hybrid environments, security experts agree that it’s vital to invest in creating secure datastores for both primary data sets and for backup datasets that use immutable snapshots and air-gapping.

Storage 52

Storage Trends Enterprise Malware 52

O'Reilly Media - Ideas

AUGUST 2, 2021

Good practices for authentication, backups, and software updates are the best defense against ransomware and many other attacks. That applies to data and machine learning, too, and is part of incorporating ML into production processes. That’s new and very dangerous territory. AI and Data. Operations.

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Trends VR Spyware Load Balancer 141

Infinidat

JANUARY 30, 2025

Features such as rapid recovery speeds, immutable snapshots, and air-gapped architectures ensure data integrity and reduce the impact of ransomware and malware. By enabling organizations to identify and isolate critical datasets quickly, these technologies help reduce RTOs and optimize backup processes.

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Disaster Recovery Storage Malware Backup 71