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CloudSecurityLLM

CloudSecurityLLM is a local-first AI assistant focused on cloud security, intrusion detection, and secure architecture design. It’s designed for security engineers, cloud architects, SREs, and DevOps teams who want fast, offline help with:

  • Reviewing cloud architectures (AWS / Azure / GCP) for security gaps
  • Interpreting logs and alerts from IDS, WAF, SIEM, and cloud-native services
  • Drafting runbooks, playbooks, and security policies
  • Brainstorming defensive strategies against common attack vectors

⚠️ This model is intended for defensive security and best practices – not for offensive hacking.

Features

  • 🛡 Cloud-focused security reasoning Speaks the language of VPCs, security groups, IAM, KMS, WAF, load balancers, and zero-trust design.

  • 📊 Log & alert explanation Helps you interpret suspicious patterns in network logs, access logs, and audit trails and summarize them for incident reports.

  • 🧩 Threat modeling & risk analysis Assists with STRIDE-style thinking, identifies risky components in a diagram, and suggests mitigations.

  • 📝 Security documentation helper Drafts security sections for design docs, runbooks, incident retrospectives, and compliance checklists.

  • 🔒 Local, privacy-friendly Runs via Ollama on your own machine – no data leaves your environment.

Getting Started

Install via Ollama

ollama pull bharathreddyjanumpally/cloudSecurityLLMhe

Run an interactive chat:

ollama run bharathreddyjanumpally/cloudSecurityLLMhe

Or use it from your own tools:

curl http://localhost:11434/api/chat -d '{
  "model": "bharathreddyjanumpally/cloudSecurityLLMhe",
  "messages": [
    { "role": "user", "content": "Review this AWS architecture for security risks..." }
  ]
}'

Example Prompts

1. Cloud Architecture Review

I have an AWS architecture with an internet-facing ALB, ECS services in private subnets, RDS Postgres, and Redis. Security groups allow 0.0.0.0/0 to the ALB on 443, ECS talks to RDS over 5432, and Redis is only reachable from ECS. Identify security risks and suggest concrete improvements (network, IAM, encryption, logging).

2. Log & Alert Triage

Here are anonymized VPC flow logs and WAF alerts from the last 10 minutes. 1. Summarize what’s happening in plain English. 2. Highlight anything that looks like an intrusion attempt or data exfiltration. 3. Suggest the next investigative steps for a SOC analyst.

3. IDS / NIDS Design Help

I’m designing a network intrusion detection system for a multi-region cloud deployment. We ingest VPC flow logs, application logs, and DNS logs into a central analytics stack. Propose an architecture and data flow with redundancy, explain where to place sensors, and list key detection rules to start with.

4. Policy & Compliance Support

Draft a “Secure Cloud Deployment” checklist for engineering teams rolling out new services. Include: network segmentation, IAM least privilege, secrets management, TLS, logging/monitoring, and incident response readiness.

Prompting Tips

  • Be specific. Include cloud provider (AWS/Azure/GCP), services, and any constraints (e.g., PCI, SOC 2, HIPAA).
  • Share context. Paste anonymized logs, diagrams (described in text), or existing controls for better recommendations.
  • Ask for formats. You can request output as:
    • Bullet lists
    • Tables (e.g., threat vs mitigation)
    • Step-by-step runbooks

Examples:

  • “Give me a STRIDE-style threat model for this architecture.”
  • “Summarize these CloudTrail events and tell me if they look suspicious.”
  • “Turn this security incident into a customer-facing RCA.”

Limitations

  • 🚫 No real-time access The model does not actually connect to your cloud environment or run live scans; it only reasons over the text you give it.

  • ⚠️ Not a substitute for professional audits Use its suggestions as input, not final authority. Always validate with your internal security policies and experts.

  • 📚 Knowledge cutoff & updates Cloud services evolve quickly; verify service-specific recommendations (new features, deprecations, pricing) against official documentation.

Intended Use

CloudSecurityLLM is best used as a co-pilot, not an automatic decision-maker: * Design reviews and brainstorming * Drafting security documentation and checklists * Helping junior engineers understand security concepts * Assisting SOC / SRE teams with explanation and triage

For high-stakes changes (production infrastructure, compliance commitments, regulatory reporting), always:

  1. Validate outputs with security experts.
  2. Cross-check against vendor / cloud-provider documentation.
  3. Apply your organization’s policies and threat models.