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What is Protectstar Antivirus AI?

Antivirus AI employs cutting-edge artificial intelligence to actively fight against malware threats while prioritizing user safety. This innovative technology is designed to adapt and evolve, assimilating knowledge from new threats; for instance, when spyware is detected on a user's device, such as a mobile phone in Paris, it undergoes comprehensive evaluation in the AI cloud. Should this malware be classified as hazardous, instant protective actions are initiated for users around the world. With consistent use of Antivirus AI, its ability to detect threats enhances, significantly bolstering security for individuals globally. This system improves malware identification by merging the advantages of dual antivirus engines, allowing one to offset the limitations of the other, which leads to nearly impeccable detection rates. Additionally, Antivirus AI possesses the capability to uncover espionage efforts and complex threats such as Advanced Persistent Threats (APTs) and Trojans that are frequently linked to governmental organizations. By perpetually honing its algorithms, Antivirus AI is dedicated to outpacing cybercriminals, thereby fostering a more secure digital landscape for all users. The commitment to ongoing improvement signifies that users can trust in a robust defense against ever-evolving cyber threats.

What is AppGuard?

Each day, adversaries develop over a million new types of malware. Traditional security solutions heavily rely on historical threat data, employing techniques such as behavioral analytics, artificial intelligence, and pattern recognition to spot malware; however, these methods often fall short in providing adequate real-time defense against new strains that may have unique features not seen before. While current security approaches emphasize malware detection, it raises the question of whether this strategy is indeed the most effective way to ensure safety. A variety of techniques are used for malware identification; for example, antivirus software depends on signature databases from past threats, machine learning algorithms generate predictive models using historical data, and behavioral analytics scrutinizes previous threats to forecast future actions. The main limitation of detection-oriented technologies is their dependency on existing malware information, which means they can only pinpoint threats already recognized and are likely to overlook emerging or adaptive threats. As the cyber threat landscape evolves rapidly, it becomes ever more vital to investigate proactive strategies that can foresee and reduce risks before they occur. Emphasizing prevention over detection may lead to a more robust defense against the continual barrage of new malware.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$8.90 per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Protectstar

Date Founded

2004

Company Location

United States

Company Website

www.protectstar.com/en/products/antivirus-ai

Company Facts

Organization Name

AppGuard

Company Location

Japan

Company Website

www.blueplanet-works.com/en/solution/appguard.html

Categories and Features

Categories and Features

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