Intelligent AI-Driven Threat Detection & Response
CYBER-US unifies threat detection, analysis, and response with explainable AI that guides analysts through every step. Air-gapped AI Core operates offline, analyzes threats in your preferred language, and recommends optimal actions while keeping decision authority with your team.
DAVUT AĞBABA
Founder & CEO
CYBER-US is the culmination of years of experience in cybersecurity and a vision to transform how organizations defend against threats. This platform represents years of careful planning and development, built step-by-step from concept to reality.
Active Development
The full version will be available to investors very soon. We are in the final stages of bringing this revolutionary security platform to market.
Development Milestones
AI Core Engine
Completed
Data Lake Integration
Completed
Multi-tenant Architecture
Completed
Enterprise Deployment
In Progress
AI Core: The Central Intelligence Engine
Every operation in CYBER-US is managed by the AI Core - a closed-loop artificial intelligence that operates without internet access. It guides analysts through every step, explains threats in their preferred language, shares learned patterns across organizations, and recommends optimal actions while keeping decision authority with the analyst.
Centralized Intelligence
AI Core coordinates all modules, correlates data from multiple sources, and maintains a unified understanding of your security posture across the entire infrastructure.
Multilingual Communication
Explains every threat, incident, and recommendation in the analyst's preferred language. Narrates the complete incident story with context, evidence chain, and suggested actions.
Explainable Decisions
Every AI decision comes with transparent reasoning, evidence chain, and confidence scores. Analysts always understand why the AI recommends specific actions.
Analyst-Guided Orchestration
AI Core prepares orchestration tools and action plans, but execution requires analyst approval. The analyst reviews, decides, and triggers all response actions.
Closed-Loop AI (Air-Gapped)
AI Core operates completely offline without internet access. All threat intelligence, learning models, and updates are managed through secure offline channels, ensuring maximum security for sensitive environments.
LLM Manipulation Protection
AI operates in a closed-loop environment, communicating only with internal microservices through secure ports. This architecture prevents next-generation threats like prompt injection, jailbreak attacks, and AI poisoning. No external internet access means zero exposure to LLM manipulation attacks.
How AI Core Guides Analysts
AI Core manages the entire security workflow while empowering analysts to make informed decisions:
Continuous Monitoring
AI Core monitors all data sources, detects anomalies, and identifies potential threats in real-time.
Intelligent Analysis
Correlates events across multiple sources, enriches with threat intelligence, and builds comprehensive incident narratives.
Multilingual Explanation
Presents findings in analyst's preferred language with detailed context, evidence chain, and risk assessment.
Action Recommendations
Suggests optimal response actions with clear explanations of impact and effectiveness. Prepares orchestration tools for execution.
Analyst Decision
Analyst reviews AI recommendations, makes informed decisions, and approves actions. AI Core executes only analyst-approved actions.
Continuous Learning & Sharing
AI Core learns from analyst decisions and feedback, continuously improving recommendations. Learned patterns and threat intelligence can be shared across organizations through secure offline channels.
Complete Security Operations Platform
Everything you need to detect, analyze, and respond to threats in one unified platform
Explainable AI Analysis
Multi-step threat analysis with transparent decision-making in your preferred language. Every alert comes with detailed reasoning, evidence chain, and incident narrative.
Analyst-Guided Response
AI analyzes threats and recommends optimal response actions. Orchestration tools are ready for execution, but the analyst reviews, approves, and triggers all actions. Decision authority always remains with the analyst.
Unified Data Lake
Centralized security data lake ingests logs from all sources. Correlate events across firewall, EDR, WAF, SIEM, and more.
Policy Intelligence
Automatic firewall rule analysis detects misconfigurations, overly permissive rules, and security gaps.
Threat & AI Learning Sharing
Share threat intelligence and AI-learned patterns across organizations. Closed-loop AI operates without internet access, ensuring complete air-gapped security while enabling collaborative threat defense.
Multi-Tenant MSSP
Built for service providers. Secure tenant isolation, cross-customer threat correlation, and unified management.
Asset & Vulnerability Management
Automated asset discovery with continuous vulnerability scanning. Data lake alert mechanisms for emerging threats and CVEs.
Platform Modules in Detail
Deep dive into each module that powers CYBER-US platform
Data Collection & Normalization
Unified ingestion layer for all security data sources with automatic parsing and normalization.
Threat Detection Engine
Multi-layered detection using signatures, behavior analysis, and machine learning models.
Security Policy Analyzer
Automated analysis of firewall rules, network policies, and access controls.
Threat Intelligence Platform
Aggregate, enrich, and operationalize threat intelligence from multiple sources.
AI-Powered Correlation
Advanced event correlation using AI to identify complex attack patterns across time and infrastructure.
Incident Management & SOAR
Case management and security orchestration with analyst-guided automation.
Response Orchestration
Execute response actions across security tools through unified automation platform.
Risk & Compliance Dashboard
Unified view of security posture, risk metrics, and compliance status.
Asset & Vulnerability Management
Continuous asset discovery and vulnerability tracking with data lake alerting for emerging threats.
Incident Response Workflow
AI-guided 11-step workflow for comprehensive threat detection and response
Asset Discovery & Inventory
Automatically discover and catalog all IT assets, applications, and network endpoints in real-time.
Vulnerability Assessment
Scan assets for known vulnerabilities, misconfigurations, and security weaknesses.
Data Collection & Normalization
Ingest logs and telemetry from all security tools into the centralized data lake.
Threat Detection & Analysis
AI Core analyzes collected data to identify threats using multiple detection methods.
Data Lake Pattern Analysis
Identify attack patterns and trends across historical data stored in the security data lake.
Proactive Alert Generation
AI Core generates intelligent alerts based on vulnerability-threat correlation and emerging risks.
Multilingual Incident Narrative
AI Core explains the incident in analyst's preferred language with complete context and evidence.
Recommended Response Actions
AI Core suggests optimal response actions with clear explanations and prepares orchestration tools.
Analyst Decision & Approval
Analyst reviews AI recommendations, makes informed decisions, and approves response actions.
Orchestrated Response Execution
Execute analyst-approved actions across security tools through automated orchestration.
Comprehensive Vulnerability Reporting
Generate detailed reports on vulnerabilities, threats, incident response, and security posture.
System Architecture
Layered architecture designed for scalability, security, and performance
Data Ingestion Layer
Collect and normalize data from all security sources
Security Data Lake
Centralized storage for all security telemetry and events
AI Core Engine
Closed-loop AI that orchestrates all threat detection and response
Threat Detection
Multi-layered detection using signatures, ML, and behavioral analysis
Analysis & Enrichment
Enrich alerts with context and build comprehensive incident narratives
Response Orchestration
Execute analyst-approved actions across security infrastructure
How It Works
Data Collection
Ingest logs and telemetry from all security tools into the centralized data lake
AI Analysis
AI Core analyzes data using ML models, threat intelligence, and behavioral analytics
Threat Detection
Identify threats using multiple detection methods and correlation techniques
Analyst Guidance
Present findings in analyst's language with recommendations and prepared orchestration tools
Response Execution
Execute analyst-approved actions through automated orchestration
Technical Specifications
Enterprise-grade architecture built for scale, security, and performance
Data Processing
- Security Data LakePetabyte-scale storage with schema-on-read for all security telemetry
- Real-time Stream ProcessingApache Kafka & Spark for sub-second event correlation
- Distributed Query EnginePresto/Trino for interactive analytics on historical data
- Time-series OptimizationSpecialized indexing for temporal security data
AI & Machine Learning
- Explainable AI (XAI)SHAP, LIME for transparent decision-making
- Anomaly DetectionUnsupervised learning for zero-day threat discovery
- UEBA ModelsUser and entity behavior analytics with drift detection
- NLP EngineMultilingual threat narrative generation
Microservices Architecture
- Service MeshIstio/Linkerd for secure inter-service communication
- API GatewayRate limiting, authentication, and request routing
- Internal Port CommunicationAll AI Core communication through secure internal ports only
- Zero External AccessNo internet connectivity - complete air-gapped operation
Deployment
- On-PremiseFull deployment in your data center with air-gapped support
- Private CloudAWS, Azure, GCP with VPC isolation
- Hybrid ArchitectureDistributed deployment across multiple sites
- High AvailabilityActive-active clustering with automatic failover
Security & Compliance
- LLM Manipulation ProtectionClosed-loop AI prevents prompt injection and jailbreak attacks
- Zero-Trust ArchitectureMutual TLS, role-based access control, MFA
- Audit LoggingImmutable audit trail for all analyst actions and AI decisions
- ComplianceSOC 2, ISO 27001, GDPR, PCI-DSS ready
Real-World Use Cases
See how CYBER-US solves critical security challenges across different industries
Enterprise Security Operations
Unified threat detection and response for large enterprise environments with complex infrastructure
- Consolidated security view across all assets and locations
- Reduced mean time to detect (MTTD) by 75%
- Automated correlation of events from 50+ security tools
- Multilingual support for global SOC teams
MSSP Service Delivery
Multi-tenant platform enabling MSSPs to deliver advanced security services to multiple customers
- Secure tenant isolation with cross-customer threat correlation
- Scalable architecture supporting hundreds of customers
- White-label capabilities for custom branding
- Automated client reporting and compliance tracking
Critical Infrastructure Protection
Air-gapped security for power plants, water facilities, and other critical infrastructure
- Completely offline operation without internet connectivity
- OT/ICS protocol support and specialized threat detection
- Regulatory compliance (NERC CIP, IEC 62443)
- Threat intelligence sharing through secure offline channels
Financial Services Security
Advanced threat detection and compliance for banks and financial institutions
- Real-time fraud detection and account takeover prevention
- Automated compliance reporting (PCI-DSS, SOX, GDPR)
- Insider threat detection and privileged user monitoring
- Integration with core banking systems and payment networks
Seamless Integrations
Connect with your existing security infrastructure and extend capabilities
SIEM & Log Management
Endpoint & EDR
Network Security
Cloud Security
Threat Intelligence
Ticketing & ITSM
RESTful API & SDK
Build custom integrations and workflows with our comprehensive API and SDKs for Python, Node.js, and Go
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