Padvish XDR AI

Next Generation of Intelligent Protection

Unified discovery, response, and analysis powered by artificial intelligence

The Padvish XDR AI system is an advanced solution for organizations that require comprehensive oversight of client security, servers, and network equipment, and wish to identify hidden threats within the organization's digital space.

Padvish XDR AI detects complex infiltrations in real-time by utilizing proprietary artificial intelligence. By analyzing memory and continuously monitoring behaviors, this system prevents data destruction and tracks Indicators of Compromise (IOCs).

The Padvish XDR AI system enables the use of sandboxing, machine learning analysis, and an IPS. With its network sensors and intelligent assistant, this system accelerates threat hunting and executes immediate corrective actions.

With the Padvish XDR AI system, no security threat remains hidden in your organization's network.

Padvish CyberGPT™

Padvish AI-powered assistant

Padvish CyberGPT™ is the first Large Language Model (LLM) designed specifically for the cybersecurity domain. Developed with a combination of proven and emerging AI technologies, this model is not just a powerful text processing tool, but an intelligent security assistant capable of understanding, analyzing, and responding to complex cyber challenges.

In the design of Padvish CyberGPT™, organizational needs were considered with a realistic perspective on technical limitations and the current knowledge level of the security market.

Developed by Amnpardaz Software Company, this system provides a secure foundation for organizations to leverage AI for faster decision-making, threat analysis, and incident response.

Beyond a simple technology, Padvish CyberGPT™ is a starting point for organizations to adopt the next generation of security systems.

Padvish XDR AI Coverage

Key Components of Padvish XDR AI

Anti-Malware

Detects and responds rapidly to Indicators of Compromise (IOCs), such as malicious file hashes and sequences of malicious code.

Sandbox

Executes suspicious files in an isolated environment to analyze and monitor their behavior.

Memory Scanner

Analyzes and monitors cyberattacks and processes running in the system memory.

Network Sensor

By examining raw traffic packets across the network, this sensor identifies attacks originating from unprotected endpoints or areas outside the scope of monitored assets.

Behavioral Protection

Monitors and analyzes system process behavior using various sensors and detects cyberattacks by identifying unusual patterns.

Static File Analyzer

Examines files to detect security threats, Indicators of Compromise (IoCs), or obfuscation techniques and determines their static characteristics.

Machine Learning

Utilizes machine learning algorithms to detect security threats, behavioral deviations, and suspicious code.

Padvish CyberGPT™

An AI-powered assistant that summarizes suspicious activities, analyzes complex scripts, and generates threat hunting (search) queries.

Intrusion Prevention System (IPS)

Detects and protects against network-based intrusions and exploits (such as Log4j and ZeroLogon).

Multi-Engine Detection

Integrates multiple antivirus engines to increase threat detection accuracy.

Credentials & Achievements

Padvish XDR AI, as a unified AI-based detection and response solution, is built upon achievements that demonstrate the technical maturity and operational capability of this product in confronting advanced threats. Its placement in the credible EDR-Telemetry ranking, above many major global cybersecurity vendors, validates its analytical and operational capability in identifying and countering complex threats. Furthermore, the technical foundation of this solution is reinforced by achievements such as EDR certification and 100% ransomware detection certification from the AV-TEST laboratory in Germany, providing a clear picture of its reliability in protecting organizations.