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Ai artificial intelligence security using ChatGPT
Zero-Trust Security with Generative Ai
Leverage and analyze threat intelligence
Automate incident response and enhance security policies
Innovation in the Software Import System
Overcoming the existing patch import system's issues,
including capacity limits and phishing threats, is possible
by implementing a cloud-based system with history tracking.
Forming a software patch integrity verification scheme
Implemented methods for software patch verification,
surpassing the traditional antivirus and sandbox security limits,
include component analysis and open-source review
Broad support for key tasks across various industries
- National public service operations
- National financial service operations
- Weapons systems and defense industry
      
Frequent software patches act as a primary vector for supply chain attacks.
Gartner warns that by 2025, 45% of global enterprises will experience such attacks.
XSCAN offers an innovative solution to address the blind spot of security monitoring:
the threat of supply chain attacks
SW Verification
Provide customer and supplier
communication system
Verification
Services
Customer
SW
Provider
Supplier Developer Security
Operations Officer
Software
Distribution
Validation
Report
Security
expert
Request for final review comments
and approval for adequacy
Explanation and verification of suspected
threats and return software if necessary
Dependency Graph
Creation of SBOM from the Perspective
of the Demand Side
Provides rich SBOM data based on binary analysis
Provide a Dependency Graph
Provision of a Communication Channel
with Suppliers Based on Analysis Results
CycloneDX / SPDX
 
Extracting
Software Components
Monitoring of
Software Patch Changes
Open source
dependency detection
Creation of SBOM and
Justification Features
Through binary analysis without source code,
it analyzes code signatures and suspected threats,
provides various component information,
and automatically generates SBOM (Software Bills of Material)
The system compares past and present versions to identify changes
and entropy shifts, effectively blocking disguised supply chain attacks,
including upstrip tampering
Binary Analysis
Validity and
Authenticity Verification
Codesgin Component
Comparative
Analysis Engine
Similarity
Rate
Result Result Altered Added
Utilizing a sophisticated fingerprinting algorithm,
it detects open-source components used in binary files,
along with their vulnerabilities and any license tampering
Identifier extraction
(string value, function name,
variable name, etc.)
Cross-referencing of open-source
intelligence and identifiers, including scoring based
on frequency and value length
Generates SBOMs from binary analysis results in CycloneDX and SPDX formats,
and offers features for communicating with suppliers about
suspicious activities and analysis findings compared to previous versions
- New IP (CC Communication)
- Privilege Escalation, Persistent Execution,
Detection Evasion, Data Exfiltration
Key Suspicious Activity Analysis

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(English) XSCAN 브로슈어_Redpensfot 엑스스캔.pdf

  • 1. Ai artificial intelligence security using ChatGPT Zero-Trust Security with Generative Ai Leverage and analyze threat intelligence Automate incident response and enhance security policies Innovation in the Software Import System Overcoming the existing patch import system's issues, including capacity limits and phishing threats, is possible by implementing a cloud-based system with history tracking. Forming a software patch integrity verification scheme Implemented methods for software patch verification, surpassing the traditional antivirus and sandbox security limits, include component analysis and open-source review Broad support for key tasks across various industries - National public service operations - National financial service operations - Weapons systems and defense industry Frequent software patches act as a primary vector for supply chain attacks. Gartner warns that by 2025, 45% of global enterprises will experience such attacks. XSCAN offers an innovative solution to address the blind spot of security monitoring: the threat of supply chain attacks SW Verification Provide customer and supplier communication system Verification Services Customer SW Provider Supplier Developer Security Operations Officer Software Distribution Validation Report Security expert Request for final review comments and approval for adequacy Explanation and verification of suspected threats and return software if necessary
  • 2. Dependency Graph Creation of SBOM from the Perspective of the Demand Side Provides rich SBOM data based on binary analysis Provide a Dependency Graph Provision of a Communication Channel with Suppliers Based on Analysis Results CycloneDX / SPDX   Extracting Software Components Monitoring of Software Patch Changes Open source dependency detection Creation of SBOM and Justification Features Through binary analysis without source code, it analyzes code signatures and suspected threats, provides various component information, and automatically generates SBOM (Software Bills of Material) The system compares past and present versions to identify changes and entropy shifts, effectively blocking disguised supply chain attacks, including upstrip tampering Binary Analysis Validity and Authenticity Verification Codesgin Component Comparative Analysis Engine Similarity Rate Result Result Altered Added Utilizing a sophisticated fingerprinting algorithm, it detects open-source components used in binary files, along with their vulnerabilities and any license tampering Identifier extraction (string value, function name, variable name, etc.) Cross-referencing of open-source intelligence and identifiers, including scoring based on frequency and value length Generates SBOMs from binary analysis results in CycloneDX and SPDX formats, and offers features for communicating with suppliers about suspicious activities and analysis findings compared to previous versions - New IP (CC Communication) - Privilege Escalation, Persistent Execution, Detection Evasion, Data Exfiltration Key Suspicious Activity Analysis