Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Every day, adversaries are producing over 1 million new malware variants. Conventional security measures depend heavily on historical threat data to identify malware through methods such as behavioral analytics, artificial intelligence, or pattern recognition, which leaves them vulnerable to unknown and newly emerging malware that exhibits different behaviors than previously encountered threats. While current security efforts emphasize the detection of malware, one must question whether this focus on detection is truly the most effective approach for cybersecurity. Various methodologies exist for identifying malware; for instance, anti-virus software utilizes signature files derived from previous threat data, AI systems apply machine learning techniques to formulate predictive mathematical models based on historical data, and behavioral analytics frameworks analyze past behaviors to create models for detection. The primary drawback of detection-centric technologies is their reliance on outdated malware information, which limits their effectiveness in responding to new threats. This raises critical questions about the adequacy of detection as a standalone measure and whether a more proactive strategy could enhance overall security.
Description
Gain the crucial information edge necessary to counter the upcoming threats with continuous, around-the-clock analysis of alerts that remain undetected by other solutions. Instantly identify whether an unknown suspect's code is a variant of malware, with a similarity score ranging from 70% to 100%. You will immediately access a comprehensive list of the suspect's associated malware families, the classification of the malware, and the related indicators of compromise (IOCs). Take proactive measures by automatically blocking malware matches that are confirmed to be identical. Elevate the level of scrutiny on suspects once you secure a strategic advantage through pre-identified code of interest. Utilize freshly extracted IOCs along with all matched indicators to reinforce your defenses. Additionally, conduct hunts and surveillance using automatically generated, highly precise bytecode-based YARA rules derived from the recently convicted suspect, your repository of matched code, or specifically chosen malware samples. A customizable API empowers you to streamline processes, allowing for the automation of actions that save valuable expert time by deobfuscating and dissecting exploit code down to individual functions, thus enhancing your overall cybersecurity strategy. This comprehensive approach ensures that you remain one step ahead of potential threats, effectively safeguarding your digital assets.
API Access
Has API
No
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
AppGuard
Country
Japan
Website
www.blueplanet-works.com/en/solution/appguard.html
Vendor Details
Company Name
Unkown Cyber
Website
unknowncyber.com
Product Features
Product Features
Cybersecurity
AI / Machine Learning
No
Behavioral Analytics
No
Endpoint Management
No
IOC Verification
No
Incident Management
No
Tokenization
No
Vulnerability Scanning
No
Whitelisting / Blacklisting
No