Your Complete Agentic
Malware Analysis Platform

AI-Powered and Agentic Malware Sandboxing with Dynamic Threat Detection, Autonomous Reverse Engineering, and Intelligent Response Automation for Enterprise-Grade Security Operations

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Welcome to the Future of Cybersecurity!

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Platform in Action

AI Assistant

AI Assistant Interface

Interactive AI agent providing real-time malware analysis guidance

Analysis Engine

Autonomous Analysis

Live malware analysis

Toolkit Integration

Toolkit Integration

MCP and REST API support for seamless analysis workflow integration

API Builder

REST API Builder

Easy-to-use toolkit for building custom integrations and automations

AI Agent Memory

AI Agent Memory

Persistent memory system enabling agents to learn and improve over time

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Agentic Malware Analysis

Autonomous AI agents that analyze malware like expert analysts.

Our agentic AI platform performs comprehensive malware analysis with human-like reasoning and decision-making. Each AI agent specializes in different aspects of malware behavior, working together to provide complete threat intelligence and actionable insights for your security team.

• Autonomous static and dynamic analysis
• Intelligent malware classification and family detection
• Real-time behavioral analysis in sandboxed environments
• Automated threat attribution and campaign tracking

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Intelligent Reverse Engineering

Agentic AI leveraging ThreatZone's advanced technologies and trained intelligence.

Our AI agents utilize ThreatZone's proprietary sandboxing technologies and years of trained cybersecurity intelligence to perform sophisticated analysis of complex malware. These agents autonomously tackle the most challenging threats with precision.

• Stealth analysis mode to bypass evasion techniques
• Dynamic code patching during runtime analysis
• AI-driven behavior modification for deeper inspection
• Advanced sandbox evasion detection and countermeasures

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Comprehensive EDR/XDR Integration

Seamless integration with your existing security infrastructure.

Effortlessly connect to any EDR/XDR solution through our intuitive integration platform. Once connected, our AI agents automatically initiate autonomous threat analysis and execute intelligent response workflows without manual intervention, creating a truly unified security ecosystem.

• One-click EDR/XDR connectivity with major security platforms
• Autonomous threat detection and real-time analysis workflows
• Intelligent response automation and remediation actions
• Unified security orchestration across your entire infrastructure

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IOC and TTPs Extraction

Automatic extraction of indicators and attack techniques.

AI agents automatically extract comprehensive IOCs and map attack techniques to the MITRE ATT&CK framework, providing actionable intelligence for threat hunting and defense. Our advanced correlation engine identifies threat patterns and campaigns across your environment for enhanced security posture.

• Automated IOC extraction (IPs, domains, hashes, etc.)
• MITRE ATT&CK mapping and technique identification
• Infrastructure analysis and C2 communication patterns
• Campaign correlation across multiple samples

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Contextual Threat Intelligence

Rich context and attribution for every malware sample.

AI agents provide detailed contextual analysis including threat actor attribution, campaign correlation, and comprehensive threat intelligence reports with actionable recommendations. Our intelligence engine correlates global threat data to deliver precise, contextual insights for informed decision-making.

• Threat actor attribution and profiling
• Campaign tracking and infrastructure mapping
• Risk assessment and impact analysis
• Actionable remediation guidance

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Collaborative AI Agents

Multiple specialized AI agents working in harmony.

Our multi-agent architecture allows different AI specialists to collaborate on analysis, each contributing their expertise to create comprehensive malware intelligence. This collaborative approach ensures higher accuracy and deeper insights than single-agent systems.

• Specialized agent roles (static analysis, dynamic analysis, reverse engineering)
• Agent collaboration and knowledge sharing
• Consensus-based conclusions for higher accuracy
• Continuous learning from analysis results