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The Future of AI/
Quantum
Powered
Security

Your defense companion in silico

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Scrutor Agent (Frontline Defense)
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LitMus Agent (Ethical & Transparent AI)
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Quantum-Ready Engine (Future Threat Preparation)
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Robotic SOC agents
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The Challenge:
Limitations of Existing
Security Solutions

Current Pain Points
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PRE Security.ai:

  • Limited Scope: AI/ML-only, no quantum-resistant cryptography.
  • Lack of Transparency: Proprietary AI models hinder transparency and compliance.
  • Dearth in Data Diversity: lack of diversity in security event data.
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Blue Voyant

  • Fragmented Approach: Multiple tools for internal/external threats create complexity.
  • No Hybrid AI/Quantum Modeling: Lacks native support for AI + quantum risk modeling.

KosmicEye’s Edge:

Hybrid AI/ML + Quantum Architecture

Combines classical, quantum, and generative AI within an open-source, extensible framework that supports multi-cloud and customer-hosted deployments — keeping all data within the customer’s cloud boundary.

Full Transparency & Customization

Offers complete control over AI models, including fine-tuning, RLHF, prompt engineering, and UI/controller customization — all while preserving core security and product integrity.

Smart Model Orchestration & Expert Intelligence

Mixes small LLMs (trained on customer data) with large LLMs (Tek Yantra cloud-hosted) for optimized cost and performance; supports predictive analytics, CV, and decision trees for non-GPT use cases.

Open-Source LLMs + Frontier Models + Expert AI + Agentic AI

🔐 AI-Powered Security Highlights

AI Security Visual

Open-Source & Tunable LLMs

Supports parameter tuning, RLHF, and transparency using open-source generative models (~7B scale) optimized for low CPU environments.

Kosmic Eye Nebula Engine

Combines fine-tuned LLMs, multi-modal models, NLP, code generation, and expert systems — tailored for customer-hosted deployment.

Frontier Models & Expert AI

Includes support for GPT-4.1, Claude 3.7, Gemini 2.5, and SONAR, along with predictive analytics (LightGBM, XGBoost) and computer vision for malware/image detection.

Agentic Frameworks

Implements LangGraph, LangChain, MCP, and A2A protocols for autonomous agent behavior and orchestration.

AI-SPM (Security Posture Management)

Provides full-stack security oversight from design through post-production (SIEM/SOAR/CNAPP).

Quantum-Enhanced Forecasting

Enables risk prediction, insider threat detection, and zero-day vulnerability scoring using quantum and AI.

Kosmic Eye– Super Powers

CNCF

CNCF-Native

Scalability, resilience, interoperability.

Quantum Advantage

Quantum Advantage

Cutting edge quantum computing for cryptography and pattern recognition/anomaly detection use cases as well as threat modelling

Agentic AI/ML

Agentic AI/ML

Langchain, Langraph, Model Context Protocol (MCP) and Agent to Agent (A2A) powered advanced computing

Hybrid Power

Hybrid Power

Classical Computing (real-time ops) + Hybrid AI/ML & Quantum Computing (QC) (advanced anomaly detection, risk modeling).

Multi-Cloud Ready

Multi-Cloud Ready

AWS, Azure, GCP, Kubernetes on-prem

Versatile Interfaces

Versatile consumer interfaces

Intuitive dashboard, chat (Slack, Whatsapp, Teams bots), Email, CNAPP/SIEM integration (API based integration with Sentinel UI, Security Hub UI etc.), A2A, Cloud Events consumers

Quantum City

Kosmic Eye 1.0 – Quantum Advantage

  • Quantum risk scoring improves threat detection accuracy.
  • Quantum-safe cryptography protects against future threats.
  • Quantum computing enables predictive attack path modeling.
  • Quantum enhances anomaly detection and risk analysis speed.
  • Automated proactive containment reduces security incident impact.

Information Security (IS) Roadmap

Information Security Roadmap