# AI-Based RPA's Work Automation Operation to Respond to
## 4 Experiments and Results
### Results and Performance Analysis  
#### 4.2.1 Performance Comparison Results of the Automated Threat Response System  
As illustrated in Table 4, the comparative performance analysis of the Existing System, AI-only System, and Improved System reveals substantial differences across key metrics. The Improved System, which integrates AI and Robotic Process Automation (RPA), consistently demonstrates superior performance in terms of processing time, error rates, cost efficiency, information sharing, and administrative delays. Processing Time: The most pronounced improvement is observed in processing time. The Existing System, dependent on manual processes, incurs significant delays at each stage (Incident Occurrence, Action Taken, Report Submitted, and Follow-up), requiring between 30 and 60 min per stage. This manual dependency inherently limits the ability to respond to rapidly evolving cyber threats in real time. The AI-only System mitigates this delay somewhat, reducing the processing time to 10-30 min per stage, leveraging AI-driven analytics while still relying on human intervention for repetitive tasks. However, the Improved System achieves near-instantaneous response times, reducing each stage's processing time to just 0.3 s, a reduction by several orders of magnitude. Mathematically, the reduction factor in processing time compared to the Existing System is calculated as follows:  
\[\text{Processing Time Reduction Factor (Improved vs. Existing)}=\frac{30\,\text{min}}{0.3\,\text{s}}=\frac{1800\, \text{s}}{0.3\,\text{s}}=6000\]  
This equates to a 6000-fold improvement, which is critical in cybersecurity environments where even milliseconds can prevent significant system damage. Similarly, when comparing the Improved System to the AI-only System, we observe a processing time reduction factor of approximately 2000, further demonstrating the efficacy of integrating RPA with AI for complete automation. Cost Efficiency: From a cost perspective, the labor-intensive nature of the Existing System translates into substantial operational expenses, ranging from $35.85 to $71.7 per hour, depending on the stage. The AI-only System achieves significant cost savings, reducing the expense to $15.0 to $30.0 per hour by automating only certain analytic tasks, while still requiring human labor for repetitive processes. However, the Improved System drastically reduces costs to just $1.3 to $2.6 per hour. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Business Process** & **Stages** & **Situation** & **Action** & **Report** & **Follow Up** \\  & & **Arises** & **Situation** & **Situation** & **Situation** & **Follow Up** \\ \hline \multirow{3}{*}{Processing time} & Existing & 30 min & 30 min & 60 min & 30 min \\  & AI-only & 10 min & 15 min & 30 min & 15 min \\  & Improved & 0.3 s & 0.3 s & 0.3 s & 0.3 s \\ \hline \multirow{3}{*}{Budget required (per hour)} & Existing & $35.85 & $35.85 & $71.70 & $35.85 \\  & AI-only & $15.00 & $15.00 & $30.00 & $15.00 \\  & Improved & $1.30 & $1.30 & $2.60 & $1.30 \\ \hline \multirow{3}{*}{Processing error rate} & Existing & 25\% & 35\% & 5\% & 30\% \\  & AI-only & 10\% & 15\% & 2\% & 12\% \\  & Improved & 0\% & 0\% & 0\% & 0\% \\ \hline \multirow{3}{*}{Sharing with related organizations} & Existing & & & & \\  & AI-only & 70\% & 68\% & 72\% & 69\% \\  & Improved & 99\% & 98\% & 99\% & 99\% \\ \hline \multirow{3}{*}{Administative delay rate} & Existing & & & & \\  & AI-only & 20\% & 25\% & 18\% & 22\% \\ \cline{1-1}  & Improved & 0\% & 0\% & 0\% & 0\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Comparison of hacking threat response processes (existing, improved). To quantify this reduction:  
\[\text{Cost Reduction Rate (Improved vs. Existing)}=\frac{71.7-2.6}{71.7}\times 100\approx 96.4\%\]  
This 96.4% cost reduction represents a dramatic increase in operational efficiency, making the Improved System especially viable for organizations with budgetary constraints, such as government agencies and public institutions.