183 lines
7.3 KiB
Python
183 lines
7.3 KiB
Python
from openai import OpenAI
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from django.conf import settings
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from .models import Risk, Control
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import time
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def extract_organization_details(organization):
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excluded_fields = {"name", "email"}
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risk_data = {}
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for field in organization._meta.get_fields():
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if field.name not in excluded_fields and hasattr(organization, field.name):
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value = getattr(organization, field.name)
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if value:
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help_text = getattr(field, 'help_text', '').strip()
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key = help_text if help_text else field.name
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risk_data[key] = value
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return risk_data
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def get_top_risk(organization):
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client = OpenAI(api_key=settings.OPENAI_API_KEY)
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all_risks = Risk.objects.all()
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risk_list = []
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for risk in all_risks:
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risk_list.append(f"""
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Risk ID: {risk.risk_id}
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Category: {risk.category}
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Name: {risk.risk_name}
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Primary Impact: {risk.primary_impact}
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Secondary Impact: {risk.secondary_impact}
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Tertiary Impact: {risk.tretiary_impact}
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Detection Difficulty: {risk.detection_difficulty}
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Recovery Complexity: {risk.recovery_complexity}
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Business Impact Severity: {risk.businnes_impact_severity}
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""")
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organization_details = extract_organization_details(organization)
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prompt = f"""
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You are an AI risk assessor. Based on the following company details and list of known risks,
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identify the 10 most critical risks for this company. Respond only with risk IDs.
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Company Details:
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{organization_details}
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List of Risks:
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{risk_list}
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Provide only the 10 most critical risk IDs in a simple comma-separated format, e.g "1,3,7,12,..."
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"""
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[{"role": "system", "content": prompt}]
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)
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risk_ids = response.choices[0].message.content.strip().split(",")
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print(f"Risks: {risk_ids}")
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return [int(risk_id) for risk_id in risk_ids if risk_id.isdigit()]
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def get_controls_for_risk(risk, organization):
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client = OpenAI(api_key=settings.OPENAI_API_KEY)
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all_controls = Control.objects.all()
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control_list = []
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organization_details = extract_organization_details(organization)
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valid_control_ids = {control.id for control in all_controls}
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control_map = {control.id: control.name for control in all_controls}
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for control in all_controls:
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control_list.append(f"Control ID: {control.id}, Control Name: {control.name}")
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prompt = f"""
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You are an expert in cybersecurity risk management. Given the risk "{risk.risk_name}" and its associated organization details "{organization_details}",
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your task is to select **exactly 10 unique controls** from the provided list that best mitigate this risk. Each control should be assigned a weight between **1 and 10** based on its effectiveness in reducing the risk.
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### Rules:
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1. **Each control ID must be unique** (no duplicates).
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2. **Only return control IDs and weights** in the exact format below.
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3. **Weights must be between 1 and 10** (1 = low impact, 10 = high impact).
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4. **Do NOT add explanations, descriptions, or extra text.**
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5. **Ensure that control IDs are randomly distributed and diverse across different categories.**
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### Available Controls:
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{control_list}
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### Expected Response Format (STRICTLY FOLLOW THIS FORMAT):
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```
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<control_id> : <weight>
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<control_id> : <weight>
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```
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### Example Correct Response (NO DUPLICATES):
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```
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12 : 8
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45 : 7
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```
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⚠️ **If you provide duplicate control IDs, your response will be rejected. Ensure all control IDs are unique.**
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⚠️ **Follow the response format exactly. Any deviation will be considered invalid.**
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"""
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for attempt in range(10):
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[{"role": "system", "content": prompt}]
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)
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result = response.choices[0].message.content.strip()
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print(f"AI Response (Attempt {attempt+1}):\n{result}")
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selected_controls = []
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valid = True
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control_ids_seen = set()
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for line in result.split("\n"):
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line = line.strip()
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parts = line.split(":")
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if len(parts) == 2:
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control_id_str = parts[0].replace("ID:", "").replace("id:", "").replace("Id:", "").strip()
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weight_str = parts[1].strip().replace("Weight:", "").replace("weight:", "").strip()
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control_id_str = ''.join(filter(str.isdigit, control_id_str))
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weight_str = ''.join(filter(str.isdigit, weight_str))
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if control_id_str and weight_str:
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control_id = int(control_id_str)
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weight = int(weight_str)
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if control_id in valid_control_ids and 1 <= weight <= 10:
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if control_id in control_ids_seen:
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valid = False
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break
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selected_controls.append((control_id, weight))
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control_ids_seen.add(control_id)
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else:
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valid = False
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break
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if valid and len(selected_controls) == 10:
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return selected_controls
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print(f"Recived {len(selected_controls)} controls. Retrying for missing ones...\n")
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remaining_controls = valid_control_ids - control_ids_seen
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missing_count = 10 - len(selected_controls)
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if missing_count > 0:
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remaining_controls_list = [f"Control ID:{cid}, Control Name: {control_map[cid]}" for cid in remaining_controls]
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prompt = f"""
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You are an expert in cybersecurity risk management. Previously, you selected {len(selected_controls)} controls for the risk "{risk.risk_name}"
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and its associated organization details "{organization_details}".
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Now, your task is to select **exactly {missing_count} additional unique controls** from the remaining list that best mitigate this risk.
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Each selected control should be assigned a weight between **1 and 10**, based on its effectiveness in reducing the risk.
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### Rules:
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1. **Each control ID must be unique** (no duplicates with the previously selected controls).
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2. **Only return control IDs and weights** in the exact format below.
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3. **Weights must be between 1 and 10** (1 = low impact, 10 = high impact).
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4. **Do NOT add explanations, descriptions, or extra text.**
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5. **Ensure that control IDs are randomly distributed and diverse across different categories.**
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### Remaining Available Controls:
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{remaining_controls_list}
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### Expected Response Format (STRICTLY FOLLOW THIS FORMAT):
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<control_id> : <weight>
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<control_id> : <weight>
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### Example Correct Response (NO DUPLICATES):
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23 : 7,
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45 : 3,
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**If you provide duplicate control IDs or controls outside the remaining list, your response will be rejected.**
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**Follow the response format exactly. Any deviation will be considered invalid.**
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"""
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time.sleep(2)
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continue
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print("Failed to get a valid response after multiple attempts.")
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return []
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