-
Notifications
You must be signed in to change notification settings - Fork 1
Deception Technology
The deception technology module is designed to create decoy environments that lure attackers into traps. By deploying decoy systems, networks, and data, organizations can gather valuable intelligence on attackers' tactics, techniques, and procedures (TTPs). This information can be used to enhance security measures and improve overall defense strategies.
- Decoy Systems: Deploys fake systems that mimic real assets, enticing attackers to interact with them.
- Decoy Networks: Creates virtual networks that appear legitimate, diverting attackers from actual critical infrastructure.
- Decoy Data: Generates realistic but fake data to attract attackers and monitor their activities.
Creating decoy environments involves deploying various types of decoys, such as systems, networks, and data. These decoys are designed to appear as legitimate assets, enticing attackers to interact with them. By monitoring these interactions, organizations can gather valuable intelligence on attackers' TTPs and use this information to enhance their security measures.
- Decoy Systems: Deploying fake servers, workstations, and IoT devices that mimic real assets, attracting attackers and monitoring their activities.
- Decoy Networks: Creating virtual networks that appear to be part of the organization's infrastructure, diverting attackers from actual critical systems.
- Decoy Data: Generating realistic but fake data, such as documents, emails, and credentials, to lure attackers and gather intelligence on their methods.
Defense Intelligence Agency • Special Access Program • Project Red Sword
TABLE OF CONTENTS
- Home
- Advanced Attack Features
- Advanced Data Loss Prevention
- Advanced Data Loss Prevention (DLP)
- Advanced Network Traffic Analysis
- Advanced Threat Intelligence
- AI Control Over Evasion
- AI Driven Attack and Defense
- AI Operating Procedures
- AI Powered Red Teaming
- AI‐Driven Attack Simulations
- AI‐Powered Defense Mechanisms
- Alerts and Notifications
- API Keys and Credentials
- Automated Actions
- Automated Incident Response
- Automated Threat Detection
- Automated Workflows
- AWS Deployment
- Azure Deployment
- C2 Dashboard and Device Details
- Clone The Repository
- Cloud Deployment
- Cloud Security
- Compliance Management
- Compliance With Local Laws
- Container Security
- Continous Authentication and Authorization
- Continuous Authentication and Authorization
- Controlled Environments
- Create a New Branch
- Custom Scripts
- Custom Themes
- Customizable Dashboards
- Custon AI Models
- Dark Mode
- Deception Technology
- Device Relationships
- Digital Ocean Deployment
- Docker Deployment
- Email Notifications
- Enhancements to Add
- Environment Variables
- Ethical and Legal Use
- Evasion Techniques
- Exploit Payload and Development
- Fork The Repository
- Future Implementations
- Google Cloud Deployment
- Handling Intruders and Compromised Systems
- Incident Response Alerts
- Industry Standards
- IoT Security
- Make Changes and Commit
- Manual Actions
- Manual Workflows
- Network Monitoring
- Network Overview
- Network Topology
- Open a Pull Request
- OpenAI Integration
- Penetration Testing Modules
- Post Exploitation Modules
- Predefined Scripts
- Predictive Analytics
- Pre‐defined Scripts
- Project Checklist
- Push Changes to Fork
- Quantum Computing‐Resistant Cryptography
- Real‐Time Alerts
- Real‐Time Threat Detection and Evasion
- Regulatory Requirements
- Role‐Based Access Control (RBAC)
- Running the Application
- Security Awareness Training
- Security Considerations
- Security Information and Event Management (SIEM)
- Security Orchestration, Automation, and Response (SOAR)
- Serverless Security
- Setup and Installation
- SIEM
- SOAR
- Table of Contents
- Vulnerability Management
- Vulnerability Scanner
- Web Scraping and ReconnaissanceHome
- Advanced Attack Features
- Advanced Data Loss Prevention
- Advanced Data Loss Prevention (DLP)
- Advanced Network Traffic Analysis
- Advanced Threat Intelligence
- AI Control Over Evasion
- AI Driven Attack and Defense
- AI Operating Procedures
- AI Powered Red Teaming
- AI‐Driven Attack Simulations
- AI‐Powered Defense Mechanisms
- Alerts and Notifications
- API Keys and Credentials
- Automated Actions
- Automated Incident Response
- Automated Threat Detection
- Automated Workflows
- AWS Deployment
- Azure Deployment
- C2 Dashboard and Device Details
- Clone The Repository
- Cloud Deployment
- Cloud Security
- Compliance Management
- Compliance With Local Laws
- Container Security
- Continous Authentication and Authorization
- Continuous Authentication and Authorization
- Controlled Environments
- Create a New Branch
- Custom Scripts
- Custom Themes
- Customizable Dashboards
- Custon AI Models
- Dark Mode
- Deception Technology
- Device Relationships
- Digital Ocean Deployment
- Docker Deployment
- Email Notifications
- Enhancements to Add
- Environment Variables
- Ethical and Legal Use
- Evasion Techniques
- Exploit Payload and Development
- Fork The Repository
- Future Implementations
- Google Cloud Deployment
- Handling Intruders and Compromised Systems
- Incident Response Alerts
- Industry Standards
- IoT Security
- Make Changes and Commit
- Manual Actions
- Manual Workflows
- Network Monitoring
- Network Overview
- Network Topology
- Open a Pull Request
- OpenAI Integration
- Penetration Testing Modules
- Post Exploitation Modules
- Predefined Scripts
- Predictive Analytics
- Pre‐defined Scripts
- Project Checklist
- Push Changes to Fork
- Quantum Computing‐Resistant Cryptography
- Real‐Time Alerts
- Real‐Time Threat Detection and Evasion
- Regulatory Requirements
- Role‐Based Access Control (RBAC)
- Running the Application
- Security Awareness Training
- Security Considerations
- Security Information and Event Management (SIEM)
- Security Orchestration, Automation, and Response (SOAR)
- Serverless Security
- Setup and Installation
- SIEM
- SOAR
- Table of Contents
- Vulnerability Management
- Vulnerability Scanner
- Web Scraping and Reconnaissance