Padvish XDR AI

Padvish XDR AI is an advanced and enhanced version of the Padvish EDR, developed to address the increasingly complex security requirements of organizations.
In the term XDR (eXtended Detection and Response), the word “eXtended” replaces “Endpoint” in EDR.
This "extension" means that, in addition to monitoring traditional endpoints such as servers, computers, and mobile devices, XDR also covers network traffic, cloud environments, and non-endpoint systems—offering a broader and deeper level of visibility across the entire organizational infrastructure.

Padvish XDR AI serves as a key security solution in many organizations. Its main functions include:                                   

• Detecting suspicious activities and behaviors across devices
• Analyzing security threats
• Automatically initiating responses when threats are detected

It covers the entire security cycle—from threat detection using endpoint sensors, data collection, and threat analysis, to alert generation, visualization, and response.                   

 

Padvish CyberGPT™ is the first specialized large language model (LLM) designed specifically for cybersecurity. It is built on a combination of proven and emerging AI technologies. This model functions not only as a powerful text-processing tool but also as an intelligent cybersecurity assistant capable of understanding, analyzing, and responding to complex security challenges. The design of Padvish CyberGPT™ is based on a thorough understanding of the operational needs of organizations, considering infrastructure limitations and the current maturity level of cybersecurity market.

Developed by Amnpardaz Software Corporation, Padvish CyberGPT™ provides enterprise clients with a secure platform to leverage artificial intelligence for faster decision-making, threat analysis, and incident response. More than just a technology, Padvish CyberGPT™ represents the starting point for organizations to adopt the next generation of security systems.

Anti-Malware: Detects Indicators of Compromise (IoCs) such as malicious file hashes, code sequences, and responds rapidly.
Memory Scan: Detects and monitors cyberattacks by analyzing the running memory, systems, and processes.
Behavior Protection: Analyzing and monitoring system processes' behavior using a collection of sensors, and detecting cyberattacks by identifying unusual patterns and changes.
Machine Learning: Leverages ML algorithms to detect suspicious code, security threats and behavioral deviations.
Network Attacks Detection (IPS): Detects and blocks network-based attacks and exploits (e.g., Log4j, ZeroLogon).
Sandbox: Executes suspicious files in an isolated environment to analyze their behavior.
Network Sensor: Analyzing raw traffic packets across the entire network to detect threats originating form unprotected endpoints or outside the network's coverage area.
Static File Analyzer: Analyzing files to detect security threats, IoCs or stealth techniques, and specifying their static characteristics.
Padvish CyberGPT™: An AI-driven assistant that summarizes suspicious activities and events, recommends actions, analyzes complex scripts, and generates threat-hunting queries.
Appliance Sensor: Collects logs from infrastructure devices (e.g., virtualization platforms, storage systems, switches, routers) to detect anomalies and generate alerts in response to suspicious and potentially dangerous activities.
Detection Engines: Integrates multiple antivirus engines to improve threat detection accuracy.

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What is the difference between Padvish EDR and Padvish XDR AI?
While both solutions provide advanced threat detection and analytics, their scopes differ. Padvish EDR is focused on securing endpoint devices, whereas Padvish XDR AI extends detection and response capabilities to networks, internet services, servers, cloud environments, and other infrastructure. Padvish XDR AI offers broader visibility and more comprehensive threat correlation across multiple layers. However, choosing the appropriate cybersecurity solution depends on the organization's specific needs in terms of protection, data monitoring, and response capabilities.

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What are the main benefits of Padvish XDR AI?

• Enhanced visibility into the entire infrastructure
• Faster, more accurate detection of advanced threats
• Faster incident response, reducing downtime
• Streamlined operations by consolidating security tools
• Improved analyst productivity through automation and intelligent alerting
• AI-powered security assistant that analyzes logs to detect, investigate, and respond to threats

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On what types of networks can Padvish XDR AI be deployed?
Padvish XDR AI is compatible with all enterprise network environments. It collects data from endpoints with the Padvish agent and integrates with routers, firewalls, switches, and other telemetry-generating systems.

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How does Padvish XDR AI collect data?
It gathers telemetry from endpoints, network devices, internet-based services, and more. This allows for proactive threat detection and mitigation across the entire organization.

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Does Padvish XDR AI utilize artificial intelligence?
Yes, AI is a fundamental part of Padvish XDR AI. It enables the system to process and analyze large datasets, investigate threats more effectively, and assist security teams with intelligent insights, faster decision-making, and advanced threat hunting.

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