🛡️ CIE Auditor — Enterprise GRC Compliance AI

A custom fine-tuned and DPO-aligned version of Mistral 7B Instruct, trained to function as a Senior IT Compliance Auditor. Feed it a security incident or corporate scenario, and it produces a structured, board-ready 9-Part Audit Report in seconds.

Tested against real-world breaches including Capital One (2019), Equifax (2017), and Uber (2022) — correctly identifying root causes, violated controls, and remediation steps.


🚀 What Makes This Different

This is not a ChatGPT wrapper or a prompt-engineered chatbot. The model weights themselves were modified using two phases of training:

  1. Supervised Fine-Tuning (SFT): Trained on a custom JSONL dataset of real compliance frameworks including ISO 27001, SOC 2 Type II, GDPR, PCI-DSS, HIPAA, and NIST CSF. The model learned to map any security scenario to the correct regulatory controls.

  2. Direct Preference Optimization (DPO): Constitutional AI alignment was applied to enforce auditor-grade behavior. The model was trained to:

    • ✅ Always flag INSUFFICIENT EVIDENCE when data is missing instead of speculating
    • ✅ Escalate critical findings to board level
    • ✅ Refuse to act like a chatbot or provide conversational responses
    • ✅ Maintain a strict, formal auditor persona at all times

📋 Output Format

Every response follows a strict 9-part structure:

1. Executive Summary
2. Audit Scope
3. Controls Violated
4. Finding
5. Impact
6. Remediation Steps
7. Risk Assessment
8. Audit Recommendations
9. Management Review

INSUFFICIENT EVIDENCE to determine: [flagged unknowns]
Next Steps: [actionable items]

💻 Quick Start

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = "rae-jax/cie-auditor-final",
    max_seq_length = 2048,
    dtype = None,
    load_in_4bit = True,
)
FastLanguageModel.for_inference(model)

messages = [
    {
        "role": "system",
        "content": "You are a Senior Compliance Auditor. Assess the scenario and output a highly structured 9-part compliance audit report. If evidence is insufficient, state INSUFFICIENT EVIDENCE."
    },
    {
        "role": "user",
        "content": "An attacker exploited a misconfigured ModSecurity WAF via SSRF to extract temporary IAM credentials from the AWS EC2 metadata service, gaining access to an S3 bucket containing the PII of 100 million customers."
    }
]

inputs = tokenizer.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_tensors="pt"
).to("cuda")

outputs = model.generate(
    input_ids=inputs,
    max_new_tokens=1024,
    temperature=0.1,
    top_p=0.9
)

print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))

🧪 Example Scenarios to Try

Cloud Misconfiguration:

"Our AWS S3 bucket was left publicly accessible for 12 months, exposing 400GB of customer PII and proprietary product designs."

Social Engineering + PAM Compromise:

"An attacker bypassed MFA using push notification fatigue on a contractor. They then found hardcoded PAM credentials in a PowerShell script on an internal network share, gaining full control of AWS, GCP, and Slack."

Unpatched Vulnerability:

"Attackers exploited CVE-2017-5638 in Apache Struts. The patch had been available for 2 months but was not applied. The attackers maintained access for 76 days and exfiltrated SSNs for 147 million people."


🏗️ Training Details

Parameter Value
Base Model mistralai/Mistral-7B-Instruct-v0.2
Training Framework Unsloth + TRL
SFT Dataset Custom JSONL (ISO 27001, SOC 2, GDPR, PCI-DSS, HIPAA, NIST CSF)
DPO Alignment Constitutional AI pairs (chosen vs rejected)
Quantization 4-bit (LoRA adapters merged into full weights)
Hardware Kaggle T4 GPU (Free Tier)
Context Length 2048 tokens

⚠️ Intended Use

This model is designed for:

  • 🎓 Educational and portfolio demonstration purposes
  • 🔬 Research into Constitutional AI and compliance automation
  • 🏢 Prototyping GRC tooling and compliance assistants

This model is not a substitute for certified compliance professionals (CISA, CISSP, CPA). Always have findings reviewed by qualified auditors before acting on them.


📄 License

Apache 2.0 — Free to use, modify, and distribute with attribution.


Built with ❤️ using Unsloth

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