ITAF-COBIT-AI-ASSISTANT

An Artificial Intelligence assistant for IT Audit Framework (ITAF), COBIT 5 governance, IT assurance, risk, control, and compliance support .

⚠️ IMPORTANT NOTICE (READ FIRST)

This model is provided strictly for educational, research, training, and productivity support purposes only.

It is NOT: Legal advice Audit certification authority Official COBIT / ITAF guidance source A replacement for professional judgment An official product of any organization

Users are fully responsible for how outputs are used.

🔒 NO AFFILIATION / NO ENDORSEMENT

This project is an independent creation and is NOT affiliated with, endorsed by, or connected to: ISACA COBIT framework owners ITAF standard publishers Ollama OpenAI Any government, audit firm, or consulting organization Any named company, institution, or individual mentioned in outputs

All references to frameworks are used only for educational explanation and learning support.

⚖️ RESPONSIBLE USE POLICY

By using this model, you agree:

You will NOT use it to: 1. Misrepresent audit findings as official conclusions 2. Produce fake compliance certifications 3. Bypass organizational controls or security systems 4. Generate malicious cybersecurity instructions 5. Replace licensed audit or legal professionals

You SHOULD use it for: 1. Learning COBIT 5 and ITAF concepts 2. Supporting IT audit planning and documentation 3. Understanding governance and risk frameworks 4. Drafting non-final audit notes or summaries 5. Training and academic purposes

⚠️ LIMITATIONS This system may: 1. Produce incomplete or simplified explanations 2. Misinterpret unclear or ambiguous queries 3. Miss context outside the provided dataset 4. Occasionally generate incorrect or outdated interpretations

Therefore: All outputs must be validated against official standards, organizational policies, and professional judgment.

🧾 NO LEGAL LIABILITY / NO GUARANTEE This software is provided “AS IS”, without warranties of any kind. No guarantees are made regarding: 1. Accuracy 2. Completeness 3. Compliance with regulations 4. Fitness for audit, legal, or operational decisions

The creator shall not be held liable for: 1. Any misuse of outputs 2. Any decisions made based on the model’s responses 3. Any direct or indirect damages resulting from its use

🧩 SAFETY DESIGN This model includes safeguards such as: 1. Prompt injection detection 2. Blocking of offensive cyber misuse requests 3, Evidence-based response behavior 4. Strict instruction hierarchy (system > context > user) 5. Hallucination reduction via retrieval grounding

👤 CREATOR Created by: CHRISTOPHER DIO CHAVEZ Cybersecurity practitioner, certified instructor/trainer, and international presenter in hacking, cybersecurity, and AI conferences.

📌 BEST PRACTICE Always treat outputs as: “decision support information, not final authority”