Changed name of variable,added help_text for MML
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@@ -44,28 +44,28 @@ class CreatedBy(models.Model):
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class Organization(models.Model):
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class Organization(models.Model):
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name = models.CharField(max_length=255)
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name = models.CharField(max_length=255, help_text="What is the name of your organization?")
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email = models.EmailField()
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email = models.EmailField(help_text="What is your email?")
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employee_headcount = models.CharField(max_length=20)
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employee_headcount = models.CharField(max_length=20, help_text="What is your organization's current employee headcount?")
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annual_revenue = models.CharField(max_length=20)
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annual_revenue = models.CharField(max_length=20, help_text="What is your organization's annual revenue range?")
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critical_applications = models.CharField(max_length=20)
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critical_applications = models.CharField(max_length=20, help_text="How many critical business applications do your employees use daily?")
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compliance_frameworks = models.JSONField() # Stores selected compliance frameworks as a list
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compliance_frameworks = models.JSONField(help_text="Which regulatory frameworks is your organization required to comply with?") # Stores selected compliance frameworks as a list
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industry_sector = models.CharField(max_length=255)
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industry_sector = models.CharField(max_length=255,help_text="What is your primary industry sector?")
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it_dependency = models.IntegerField()
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it_dependency = models.IntegerField(help_text="On a scale from 1-10, how dependent is your business operations on technology?")
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data_sensitivity = models.CharField(max_length=20)
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data_sensitivity = models.CharField(max_length=20, help_text="What level of sensitive data does your organization process?")
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network_infrastructure = models.CharField(max_length=20)
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network_infrastructure = models.CharField(max_length=20, help_text="What best describes your organization's network infrastructure model?")
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remote_workforce_percentage = models.CharField(max_length=20)
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remote_workforce_percentage = models.CharField(max_length=20, help_text="What percentage of your workforce operates remotely?")
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third_party_vendor_access = models.CharField(max_length=20)
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third_party_vendor_access = models.CharField(max_length=20, help_text="How many third-party vendors have access to your systems?")
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internal_software_development = models.CharField(max_length=20)
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internal_software_development = models.CharField(max_length=20, help_text="What is the extent of your internal software development activities?")
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geographic_scope = models.CharField(max_length=20, null=True, blank=True)
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geographic_scope = models.CharField(max_length=20, null=True, blank=True, help_text="What is your organization's geographic operational scope?")
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customer_base = models.CharField(max_length=20, null=True, blank=True)
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customer_base = models.CharField(max_length=20, null=True, blank=True, help_text="How would you characterize your customer base distribution?")
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customer_type = models.CharField(max_length=20, null=True, blank=True)
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customer_type = models.CharField(max_length=20, null=True, blank=True, help_text="What is your primary customer type?")
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product_portfolio = models.CharField(max_length=20, null=True, blank=True)
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product_portfolio = models.CharField(max_length=20, null=True, blank=True, help_text="How diversified is your product/service portfolio?")
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supplier_base = models.CharField(max_length=20, null=True, blank=True)
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supplier_base = models.CharField(max_length=20, null=True, blank=True, help_text="What is your supplier base structure?")
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it_infrastructure = models.JSONField(null=True, blank=True) # Stores selected IT infrastructure types as a list
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it_infrastructure = models.JSONField(null=True, blank=True, help_text="What is your primary IT infrastructure model?") # Stores selected IT infrastructure types as a list
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intellectual_property = models.JSONField(null=True, blank=True) # Stores selected IP protection types as a list
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intellectual_property = models.JSONField(null=True, blank=True, help_text="How does your organization protect and manage intellectual property?") # Stores selected IP protection types as a list
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sensitive_data = models.JSONField(null=True, blank=True) # Stores selected sensitive data types as a list
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sensitive_data = models.JSONField(null=True, blank=True, help_text="What type of sensitive data does your organization handle?") # Stores selected sensitive data types as a list
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integration_level = models.CharField(max_length=20, null=True, blank=True)
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integration_level = models.CharField(max_length=20, null=True, blank=True, help_text="How integrated are your critical business systems?")
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risks = models.ManyToManyField('Risk', related_name='organizations', blank=True)
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risks = models.ManyToManyField('Risk', related_name='organizations', blank=True)
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@@ -3,15 +3,17 @@ from django.conf import settings
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from .models import Risk, Control
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from .models import Risk, Control
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import time
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import time
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def extract_risk_factors(organization):
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def extract_organization_details(organization):
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excluded_fields={"name","email"}
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excluded_fields = {"name", "email"}
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risk_data = {}
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risk_data = {}
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for field in organization._meta.get_fields():
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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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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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value = getattr(organization, field.name)
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if value:
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if value:
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risk_data[field.name] = 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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return risk_data
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def get_top_risk(organization):
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def get_top_risk(organization):
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@@ -33,14 +35,14 @@ def get_top_risk(organization):
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Business Impact Severity: {risk.businnes_impact_severity}
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Business Impact Severity: {risk.businnes_impact_severity}
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""")
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""")
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risk_factors = extract_risk_factors(organization)
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organization_details = extract_organization_details(organization)
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prompt = f"""
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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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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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identify the 10 most critical risks for this company. Respond only with risk IDs.
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Company Details:
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Company Details:
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{risk_factors}
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{organization_details}
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List of Risks:
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List of Risks:
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{risk_list}
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{risk_list}
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@@ -63,14 +65,14 @@ def get_controls_for_risk(risk, organization):
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all_controls = Control.objects.all()
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all_controls = Control.objects.all()
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control_list = []
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control_list = []
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risk_factors = extract_risk_factors(organization)
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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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valid_control_ids = {control.id for control in all_controls}
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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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control_list.append(f"Control ID: {control.id}, Control Name: {control.name}")
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prompt = f"""
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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 factors "{risk_factors}",
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You are an expert in cybersecurity risk management. Given the risk "{risk.risk_name}" and its associated factors "{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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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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### Rules:
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1. **Each control ID must be unique** (no duplicates).
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1. **Each control ID must be unique** (no duplicates).
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