Objective
We are American company we need stand alone software and cloud Web-Based Security Management Platform that:
- Scans systems (devices, users, mailboxes, browsers, etc.).
- Detects security issues.
- Analyzes system posture.
- Generates actionable recommendations.
Core Modules
1. System Scanning & Inventory Module
- Collects:
- Users
- Devices (Windows, macOS, Linux endpoints)
- Mailboxes (e.g., Microsoft 365, Gmail)
- Internet-facing assets (domains, IPs)
- Tools:
- SNMP, WMI, or APIs (e.g., Microsoft Graph API, AWS SDK)
2. Security Control Assessment Engine
- Checks if key controls are in place:
- Antivirus/EDR
- Encryption
- Patching status
- MFA (Multi-Factor Authentication)
- Dark web monitoring
- Cloud misconfiguration scanner
- Tools:
- OpenVAS, Nessus, OSQuery, custom PowerShell scripts
3. Dashboard Interface
- Built using React + Tailwind CSS (like your example)
- Includes:
- Radar charts for control coverage
- Risk bars (Critical → Low)
- Real-time widgets
4. AI-Powered Recommendation Engine
- Based on scanned data, outputs:
- Risk descriptions (e.g., “MFA missing on 2 mailboxes”)
- Recommendations (e.g., “Enable MFA via Azure AD portal”)
- Can use:
- Predefined rules
- GPT or local ML model for smart summaries
5. Remediation Workflow
- Allow users to mark issues as fixed or ignored
- Export reports
- Trigger scripts via agent to apply fixes
🔐Tech Stack Suggestion
Layer
Tools
Frontend
React + Tailwind CSS
Backend API
Node.js (Express) / Python (FastAPI or Django)
Database
PostgreSQL or MongoDB
Agent (for endpoints)
Python script / PowerShell / OSQuery agent
Cloud integration
Microsoft Graph API, AWS SDK, Google Workspace API
Security Tools
OSQuery, OpenVAS, Nmap, Nessus (optional)
Example Workflow
- Agent/API pulls data from devices and cloud.
- Backend processes it.
- Dashboard shows the analysis.
- Recommendation Engine suggests fixes.
- Admins review, take action, or export reports.
=============================================================== USER ACCOUNT SCANS
1. Local User Accounts (on endpoints/servers)
- Username
- Account type (Administrator, Standard)
- Last login time
- Password age
- Account status (enabled/disabled)
- MFA (Multi-Factor Authentication) enabled/disabled
- Group membership (e.g., Administrators group)
- Account lockout policy compliance
2. Cloud User Accounts (Microsoft 365, Google Workspace)
- Display name and email
- Login activity
- Admin privileges
- MFA status
- External sharing permissions
- OAuth app authorizations
- Mailbox forwarding rules
- Linked mobile devices
💻 DEVICE SCANS
1. Operating System & Hardware Info
- OS name and version
- System architecture (32-bit, 64-bit)
- BIOS/firmware version
- Hostname
- Hardware vendor and model
- Serial number or UUID
- Drive encryption status (e.g., BitLocker, FileVault)
- Boot mode (Secure Boot enabled/disabled)
2. Patch & Update Status
- OS patch level
- Pending security updates
- Last update time
- Failed update logs
3. Running Processes & Services
- List of running processes with:
- Process name
- Path
- Owner
- Hash (SHA256)
- Services and startup type (auto/manual/disabled)
4. Installed Applications
- Application name and version
- Publisher
- Install date
- Unpatched/vulnerable versions (using CVE database)
5. Antivirus and Endpoint Protection
- Antivirus vendor
- Real-time protection status
- Virus signature update date
- Detected threats and quarantine history
6. Firewall & Network Security Settings
- Firewall status (enabled/disabled)
- Active rules and open ports
- Remote desktop settings
- Windows Defender or 3rd party firewall logs
MAILBOX SCANS
1. Mailbox Configuration
- Mailbox size and quota usage
- External forwarding rules
- Delegates and permissions
- Mailbox login history
2. Security Policies
- Spam filter settings
- Phishing protection status
- Data loss prevention policies applied
- Email encryption enabled/disabled
- Authentication methods (OAuth, legacy protocols)
BROWSER & INTERNET USAGE SCANS
1. Installed Browsers
- Browser name and version
- Update channel (stable, beta)
- Last update date
2. Browser Extensions
- Extension name
- Source (official store or sideloaded)
- Permissions granted (e.g., access to all sites)
- Known malicious status (via threat intelligence feed)
3. Browsing History & Cookies (optional, for forensics or monitoring)
- Last visited URLs
- Tracking cookies count
- Downloads from unknown sources
CLOUD STORAGE / CLOUD DRIVE SCANS
1. Connected Cloud Drives
- Google Drive, OneDrive, Dropbox, Box, etc.
- Number of files/folders
- File sharing permissions (public, restricted, etc.)
- External file sharing links
- File type risks (executables, macros, etc.)
2. Data Leak Checks
- Sensitive file scans (e.g., PII, credentials, financials)
- File integrity monitoring (changes, deletions)
INTERNET-FACING ASSET SCANS
1. Domain & IP Intelligence
- Domain WHOIS data
- SSL certificate validity and encryption type
- Open ports (via Nmap or similar)
- HTTP security headers (HSTS, X-Frame-Options, etc.)
- DNS records and exposure
2. Web Application Vulnerabilities
- SQL Injection
- Cross-Site Scripting (XSS)
- Remote Code Execution (RCE)
- Outdated CMS (WordPress, Joomla, etc.)
3. Threat Exposure
- Dark web mentions of domain or IP
- Breached credentials linked to domain
- Abuse reports or blocklists
SECURITY CONTROL CONFIGURATION SCANS
1. Identity and Access Management
- Password policy compliance (length, complexity)
- Account lockout threshold
- MFA policies and exceptions
- Admin role assignments review
2. Data Protection
- Encryption policies (at-rest, in-transit)
- Data loss prevention (DLP) configuration
- Backup and recovery settings
3. Device Compliance Policies
- Antivirus required/enforced
- Auto-lock and timeout policy
- Device wipe or remote disable options
- Backend & Database: Implement the Node.js/Python backend with PostgreSQL/MongoDB to store real data.
- Agent Development: Create actual agents (Python/PowerShell) for endpoint scanning and remediation.
- API Integrations: Connect to real APIs for Microsoft 365, AWS, Google Workspace, and commercial security tools (OpenVAS, Nessus, etc.).
- True AI/ML Integration: Implement the recommendation engine using a real LLM (like Gemini API) or a trained ML model for more dynamic and intelligent recommendations.
- User Authentication & Authorization: Implement secure user login, roles, and permissions.
- Real-time Updates: Use WebSockets or similar technologies for real-time updates from agents and backend.