Pakistan faces critical security challenges that impact economic growth, public safety, and national development:

• Reactive Systems: Traditional security relies on human monitoring and post-incident response
• Fragmented Solutions: Separate systems for physical security, cyber threats, and asset tracking
• Limited Intelligence: Lack of predictive analytics and threat correlation
• Resource Constraints: High costs and manpower requirements for comprehensive security
• Slow Response Times: Manual processes delay critical security decisions

We're building Pakistan's first AI-powered autonomous security platform that transforms how organizations protect their assets, people, and infrastructure. SOCIRIS combines artificial intelligence, real-time monitoring, and automated response to create a unified security ecosystem that thinks, learns, and acts—autonomously.

Traditional security systems wait for humans to make decisions. SOCIRIS acts in real-time.

Our AI engine processes thousands of data points per second from cameras, network sensors, GPS trackers, and security logs—correlating threats across physical and cyber domains to predict and prevent security incidents before they escalate.

Every second counts in security. SOCIRIS responds in milliseconds.

From the moment a threat is detected, our automated orchestration platform can lock doors, alert security teams, isolate network segments, and initiate forensic investigations—all within seconds, without human intervention.

Security threats evolve daily. So does SOCIRIS.

Our machine learning models adapt to new threat patterns, improving accuracy with every interaction. What the system learns today makes it smarter tomorrow—creating an ever-strengthening security posture.

One dashboard. Complete visibility. Total control.

Instead of juggling multiple security systems, SOCIRIS provides a single pane of glass for all security operations—from facial recognition and access control to network monitoring and asset tracking.

Beyond Traditional CCTV

Our computer vision platform doesn't just record—it understands. Real-time facial recognition identifies authorized personnel, detects unknown individuals, and analyzes behavioral patterns to flag suspicious activity before incidents occur.

Key Features:

• Real-time multi-face detection and recognition
• Unknown person alerting with automated response
• Behavioral analysis and anomaly detection
• Live camera feed processing with AI overlays
• Mobile camera support with front/back switching

Dynamic Security That Adapts to Threats

Access control decisions happen in real-time based on AI-driven risk assessment. The system automatically manages entry points, adjusting security levels based on detected threats, time of day, and user authorization.

Capabilities:

• Identity-based access management
• Threat-responsive door control
• Multi-factor authentication integration
• Audit trails and compliance logging

Protecting Digital Infrastructure

Continuous monitoring of network activity, system vulnerabilities, and security events. Our intrusion detection system correlates cyber and physical threats to identify sophisticated attack patterns.

Protection Includes:

• Real-time network scanning and vulnerability assessment
• Host-based intrusion detection
• Malware detection and automated containment
• Security compliance monitoring
• Threat intelligence integration

Know Where Your Assets Are, Always

GPS-based tracking with intelligent geofencing alerts you when assets move beyond authorized zones. Movement pattern analysis detects anomalies and potential theft before assets are lost.

Tracking Features:

• Real-time GPS monitoring
• Geofence breach alerts
• Movement pattern analysis
• Historical route playback
• Theft prevention automation

Security Orchestration That Never Sleeps

When threats are detected, our SOAR (Security Orchestration, Automation, and Response) platform executes pre-defined playbooks automatically—from containment to investigation to remediation.

Automated Playbooks:

• Unauthorized access response
• Unknown face detection handling
• Malware containment workflows
• Asset anomaly investigation
• Security incident documentation

Data-Driven Security Decisions

Comprehensive dashboards provide real-time visibility into security posture, threat trends, and system performance. Advanced analytics identify patterns humans might miss.

Analytics Include:

• Real-time threat intelligence feeds
• Risk scoring and trend analysis
• Predictive security modeling
• Compliance reporting
• Executive-level dashboards

┌─────────────────────────────────────────────────────┐
│           DECISION & RESPONSE LAYER                 │
│   Automated Playbooks • Alert Management            │
│   Security Orchestration • Incident Response        │
└─────────────────────────────────────────────────────┘
                         ↑
┌─────────────────────────────────────────────────────┐
│          INTELLIGENCE & ANALYTICS LAYER             │
│   Risk Calculation • Threat Correlation             │
│   Predictive Models • Pattern Recognition           │
└─────────────────────────────────────────────────────┘
                         ↑
┌─────────────────────────────────────────────────────┐
│            AI PROCESSING LAYER                      │
│   Face Recognition • Behavior Analysis              │
│   Threat Detection • Anomaly Identification         │
└─────────────────────────────────────────────────────┘
                         ↑
┌─────────────────────────────────────────────────────┐
│             DATA COLLECTION LAYER                   │
│   Cameras • Network Sensors • GPS Trackers          │
│   Access Controls • System Logs • Security Events   │
└─────────────────────────────────────────────────────┘

Unauthorized Access Attempt:

1. Detection (< 100ms): Camera identifies unknown face at entry point
2. Analysis (< 200ms): AI correlates with recent security events and access patterns
3. Risk Assessment (< 300ms): System calculates threat level based on context
4. Automated Response (< 2 seconds):
   • Doors remain locked
   • Security team receives real-time alert with photo
   • Incident logged for investigation
   • Video recording initiated
5. Investigation (Automated): Forensic data collected, timeline generated
6. Learning: System updates threat models for improved future detection

Total Time from Detection to Response: < 2 seconds

SOCIRIS is developed by a team of passionate technologists from ILMA University, combining academic rigor with real-world security expertise.

Muhammad Abdullah Tariq Project Lead & Cloud Architect Lead CloudOps Manager @ AL NAFI CISSP Associate | CCSP

Muhammad Huzaifa Tariq AI/ML Engineer Computer Vision Specialist Deep Learning Expert

Yaseen Iqbal IoT & Hardware Engineer Systems Integration Embedded Systems

Muhammad Asad Security Researcher Threat Intelligence Backend Development

• Critical Infrastructure: Power plants, water facilities, transportation hubs
• Government Buildings: Parliament, ministries, administrative offices
• Border Security: Immigration checkpoints, customs facilities
• Public Safety: Law enforcement operations, emergency response centers

• Financial Institutions: Banks, stock exchanges, financial centers
• Corporate Offices: Headquarters, data centers, executive facilities
• Retail: Shopping malls, high-value retail stores
• Hospitality: Hotels, resorts, conference centers

• Universities: Campus security, research facilities
• Schools: Student safety, access control
• Libraries: Asset protection, visitor management
• Laboratories: Secure research environments

• Hospitals: Patient safety, restricted area access
• Clinics: Visitor management, equipment tracking
• Pharmaceutical: Secure storage, controlled substance monitoring
• Research Centers: Biosecurity, data protection

• Gated Communities: Perimeter security, visitor management
• Smart Buildings: Automated access, resident safety
• Housing Societies: Asset tracking, security patrols
• Individual Homes: Personal security automation

95%+     Face Recognition Accuracy
<500ms   Threat Detection Latency
<2s      Automated Response Time
99.9%    System Uptime
1000+    Events Processed per Second
24/7     Continuous Monitoring

Security Improvements:

• 90% reduction in incident response time
• 85% decrease in false alarms through AI learning
• 100% audit trail for compliance requirements
• 75% reduction in security personnel workload

Operational Efficiency:

• Single unified platform replaces 5+ separate systems
• Automated reporting saves 20+ hours per week
• Real-time analytics enable proactive decision-making
• Cloud-based deployment eliminates infrastructure overhead

Cost Savings:

• 60% lower total cost of ownership vs traditional systems
• Reduced insurance premiums through enhanced security
• Prevention of security incidents before they occur
• Scalable pricing from enterprise to residential

SOCIRIS represents cutting-edge research in several domains:

Artificial Intelligence:

• Novel ensemble learning architecture for threat detection
• Real-time multi-modal data fusion
• Adaptive machine learning for evolving threats
• Behavioral biometrics and pattern recognition

Computer Vision:

• Optimized facial recognition for edge devices
• Multi-face detection in challenging conditions
• Privacy-preserving face encoding techniques
• Live video stream processing with AI overlays

Security Automation:

• Intelligent SOAR playbook orchestration
• Context-aware incident response
• Automated forensics and evidence collection
• Cross-domain threat correlation

Systems Integration:

• Microservices architecture for scalability
• Real-time event streaming and processing
• Distributed AI inference at the edge
• Hybrid cloud deployment models

• 📄 Research Paper: "AI-Powered Autonomous Security: The SOCIRIS Framework"
• 🏆 Best Final Year Project Nominee - ILMA University 2025
• 🎤 Presented at National Cybersecurity Symposium
• 🌟 Featured in technology and security publications

Completed Milestones:

• ✅ Complete AI engine with ensemble threat detection
• ✅ Real-time facial recognition with 95%+ accuracy
• ✅ 5 automated SOAR playbooks operational
• ✅ Full monitoring and analytics stack
• ✅ Production deployment on cloud infrastructure
• ✅ Multi-source threat intelligence integration
• ✅ Comprehensive security dashboards
• ✅ SSL/TLS encryption and access control

Live Deployments:

• 🟢 Operations Dashboard - Main security operations center
• 🟢 AI Intelligence API - Threat analysis engine
• 🟢 Security Analytics - Monitoring and compliance

Phase 2 - Enhanced Intelligence:

• Advanced behavioral biometrics
• Voice recognition integration
• Mobile security team applications
• Multi-language support (Urdu, Arabic)
• IoT sensor mesh networks

Phase 3 - Enterprise Scale:

• Multi-site federated deployments
• Advanced threat hunting capabilities
• Integration with smart city infrastructure
• Predictive policing algorithms
• Commercial SaaS offering

We believe in leveraging the best technologies—both open source and proprietary—to create solutions that work. Our platform is built on proven, enterprise-grade components integrated with custom AI models.

Designed for the cloud from day one, SOCIRIS scales effortlessly from small offices to nationwide deployments, with the flexibility to run on-premises, in the cloud, or in hybrid configurations.

Every component is built with security as a first principle—from encrypted communications to secure credential management, from audit logging to privacy-preserving analytics.

Rather than adding AI as an afterthought, SOCIRIS is fundamentally built around artificial intelligence—every decision, every alert, every response is powered by machine learning.

Research Partners:

• Universities and research institutions
• AI/ML research labs
• Security think tanks
• Government research agencies

Industry Partners:

• Security system integrators
• IoT device manufacturers
• Cloud service providers
• Telecommunications companies

Pilot Programs:

• Organizations interested in testing SOCIRIS
• Government facilities seeking enhanced security
• Educational institutions for campus safety
• Corporate partners for POC deployments

Investors & Advisors:

• Venture capital for commercialization
• Security industry experts
• Business mentors and advisors

📧 General Inquiries: [email protected]
🤝 Partnerships: [email protected]
🎓 Research Collaboration: [email protected]
💼 Commercial Licensing: [email protected]

• Main Platform - Complete SOCIRIS platform
• AI Engine - Machine learning models and threat detection
• Computer Vision - Facial recognition and video analytics
• Threat Intel - Security intelligence integration

• Dashboards - Real-time visualization and reporting
• Analytics Engine - Data processing and insights
• Metrics Collection - Performance and security metrics

• SOAR Platform - Automated incident response
• Playbooks - Security orchestration workflows
• Vulnerability Scanning - Network and host assessment

• Deployment - Container orchestration and cloud configs
• Documentation - Technical guides and user manuals
• Utilities - Helper tools and scripts

Visit our GitHub Organization to explore all repositories

• 📖 Technical Documentation
• 🎯 Deployment Guides
• 🔧 API Reference
• 📊 Integration Guides

• 📄 Research Papers
• 🧪 Dataset Information
• 📈 Benchmark Results
• 🔬 Methodology Details

• 💼 Business Case Studies
• 📊 ROI Analysis
• 🎥 Product Demonstrations
• 📞 Consultation Services

Full documentation available at docs.sociris.com

By providing affordable, AI-powered security solutions, SOCIRIS contributes to Pakistan's national security infrastructure—protecting critical facilities, public spaces, and private institutions.

Reducing security incidents translates directly to economic benefits—safer business environments, protected investments, and increased investor confidence in Pakistan's security landscape.

SOCIRIS positions Pakistan at the forefront of AI-driven security innovation, demonstrating the country's capability to develop world-class technology solutions.

From protecting schools to securing hospitals, SOCIRIS contributes to public safety and peace of mind for communities across Pakistan.

As security threats evolve, SOCIRIS evolves with them—creating a sustainable, long-term solution that grows smarter over time.

• 🥇 Best FYP Nominee - ILMA University 2025
• 🌟 Innovation Award - Tech Symposium 2025
• 📰 Media Feature - Leading technology publications
• 🎤 Conference Speaker - National cybersecurity forums
• 🏅 Academic Excellence - Outstanding research contribution

Academic Research Project

SOCIRIS is developed as an academic research initiative at ILMA University. The project demonstrates cutting-edge applications of artificial intelligence in security operations.

Usage Rights:

• ✅ Academic research and citations (with attribution)
• ✅ Educational purposes and teaching
• ✅ Non-commercial evaluation and testing
• ⚠️ Commercial use requires explicit licensing
• ⚠️ Redistribution requires permission

For Commercial Licensing:
Contact: [email protected]

For Research Collaboration:
Contact: [email protected]

• ILMA University - Providing resources, infrastructure, and academic guidance
• Dr. Nabila Sehito - Supervision, mentorship, and continuous support
• Computer Science Department - Technical feedback and research direction

• AL NAFI Group - Industry insights and testing infrastructure
• Technology Partners - Hardware, software, and cloud resources
• Beta Users - Feedback and real-world validation

• Machine learning frameworks and libraries
• Security tools and platforms
• Container orchestration technologies
• Monitoring and analytics solutions

• Our families for unwavering support
• Fellow students for collaboration and feedback
• Security professionals for domain expertise
• Everyone who believed in our vision