Class: AiRootShield::Enterprise::FalsePositiveReducer

Inherits:
Object
  • Object
show all
Defined in:
lib/ai_root_shield/enterprise/performance_optimizer.rb

Overview

False positive reduction using machine learning

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(config) ⇒ FalsePositiveReducer

Returns a new instance of FalsePositiveReducer.



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# File 'lib/ai_root_shield/enterprise/performance_optimizer.rb', line 402

def initialize(config)
  @config = config
  @current_rate = 0.0
  @last_update = Time.now
  @model_accuracy = 0.92
  @learning_buffer = []
end

Instance Attribute Details

#current_rate ⇒ Object (readonly)

Returns the value of attribute current_rate.



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# File 'lib/ai_root_shield/enterprise/performance_optimizer.rb', line 400

def current_rate
  @current_rate
end

#last_update ⇒ Object (readonly)

Returns the value of attribute last_update.



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# File 'lib/ai_root_shield/enterprise/performance_optimizer.rb', line 400

def last_update
  @last_update
end

Instance Method Details

#process(analysis_result) ⇒ Object 



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# File 'lib/ai_root_shield/enterprise/performance_optimizer.rb', line 410

def process(analysis_result)
  return analysis_result unless @config[:enabled]
  
  confidence = calculate_confidence(analysis_result)
  
  if confidence < @config[:threshold]
    # Likely false positive
    adjusted_result = adjust_for_false_positive(analysis_result, confidence)
    adjusted_result[:false_positive_reduced] = true
    return adjusted_result
  end
  
  analysis_result
end

#reconfigure(optimization_level) ⇒ Object 



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# File 'lib/ai_root_shield/enterprise/performance_optimizer.rb', line 425

def reconfigure(optimization_level)
  case optimization_level
  when :conservative
    @config[:threshold] = 0.1
  when :balanced
    @config[:threshold] = 0.15
  when :aggressive
    @config[:threshold] = 0.25
  when :maximum
    @config[:threshold] = 0.35
  end
end

#update_models ⇒ Object 



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# File 'lib/ai_root_shield/enterprise/performance_optimizer.rb', line 438

def update_models
  @last_update = Time.now
  @model_accuracy = [@model_accuracy + 0.01, 0.98].min
end