Restore and update abstract section in README

Signed-off-by: Fabiana  ⚡️ Campanari <113218619+FabianaCampanari@users.noreply.github.com>

Author: FabianaCampanari

README.md

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 <p align="center"><img src="https://img.shields.io/badge/Python-Data%20Science-blue?logo=python" /> <img src="https://img.shields.io/badge/API-REST-green" /> <img src="https://img.shields.io/badge/Security-Zero%20Trust-red" /> <img src="https://img.shields.io/badge/Machine%20Learning-AI-purple" /> <img src="https://img.shields.io/badge/Data-Bloomberg%20Lab-orange" /></p>
 
 
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-<br><br>
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-## [Abstract]()
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-This work presents an integrated academic and applied framework for cybersecurity, social engineering analysis, and artificial intelligence system protection. The proposed approach combines data-driven methodologies, distributed systems, and machine learning techniques to address contemporary challenges in cyber risk and intelligent system security.
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-The environment is supported by a recently established [Bloomberg Laboratory at PUC-SP](), enabling access to [professional financial data](), [APIs](), and [analytical tools](). This infrastructure allows the integration of real-world financial datasets into cybersecurity and OSINT-oriented workflows.
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-The project is structured around a complete data pipeline, including data ingestion from external APIs, transformation, storage in relational databases, and exposure through RESTful services, combined with predictive modeling and anomaly detection.
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-<br><br>
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-### Cybersecurity and Social Engineering Integrated Project - PUC-SP 5th Semester (2026)
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-[**Institution:**]() Pontifical Catholic University of São Paulo (PUC-SP  Humanistic AI & Data Science • 5º Semestre • 2026 <br>
-[**School:**]() FACEI - Faculty of Interdisciplinary Studies  <br>
-[Course Repo:]() INTEGRATED PROJECT: Cybersecurity and Social Engineering  - 72 Hours <br>
-**Professor:**  [✨  Eduardo Savino Gomes]()  <br>
-[Extensionist Activities:]() Social projects with open-source software for community support.  <br>
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-<br><br>
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 <!--Confidentiality statement -->
 
 
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+<br><br>
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+## [Abstract]()
+
+This work presents an integrated academic and applied framework for cybersecurity, social engineering analysis, and artificial intelligence system protection. The proposed approach combines data-driven methodologies, distributed systems, and machine learning techniques to address contemporary challenges in cyber risk and intelligent system security.
+
+The environment is supported by a recently established [Bloomberg Laboratory at PUC-SP](), enabling access to [professional financial data](), [APIs](), and [analytical tools](). This infrastructure allows the integration of real-world financial datasets into cybersecurity and OSINT-oriented workflows.
+
+The project is structured around a complete data pipeline, including data ingestion from external APIs, transformation, storage in relational databases, and exposure through RESTful services, combined with predictive modeling and anomaly detection.
+
+
+
+<br><br>
+
+### Cybersecurity and Social Engineering Integrated Project - PUC-SP 5th Semester (2026)
+
+
+[**Institution:**]() Pontifical Catholic University of São Paulo (PUC-SP  Humanistic AI & Data Science • 5º Semestre • 2026 <br>
+[**School:**]() FACEI - Faculty of Interdisciplinary Studies  <br>
+[Course Repo:]() INTEGRATED PROJECT: Cybersecurity and Social Engineering  - 72 Hours <br>
+**Professor:**  [✨  Eduardo Savino Gomes]()  <br>
+[Extensionist Activities:]() Social projects with open-source software for community support.  <br>
+
+<br><br>
+
+
+
+
+
 ## Table of Contents
 
 - [Overview](#overview)