Imagen de Portada

Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Kulothungan, Vikram
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Artificial Intelligence Computers and Society Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Blockchain-Enabled Approach to Cross-Border Compliance and Trust
por: Kulothungan, Vikram
Publicado: (2025)

Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration
por: Shaikh, Khushbu Mehboob, et al.
Publicado: (2025)

Enabling Cyber Security Education through Digital Twins and Generative AI
por: Barletta, Vita Santa, et al.
Publicado: (2025)

Frontier AI's Impact on the Cybersecurity Landscape
por: Potter, Yujin, et al.
Publicado: (2025)

The Road of Adaptive AI for Precision in Cybersecurity
por: Garg, Sahil
Publicado: (2025)

AI Code Generators for Security: Friend or Foe?
por: Natella, Roberto, et al.
Publicado: (2024)

Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study
por: Esposito, Matteo, et al.
Publicado: (2024)

SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
por: Chen, Junkai, et al.
Publicado: (2025)

Ethical Considerations Towards Protestware
por: Cheong, Marc, et al.
Publicado: (2023)

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
por: Improta, Cristina
Publicado: (2024)

AIBoMGen: Generating an AI Bill of Materials for Secure, Transparent, and Compliant Model Training
por: Vandendriessche, Wiebe, et al.
Publicado: (2026)

Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code
por: Blain, Dominik, et al.
Publicado: (2026)

Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
por: Nguyen, The Anh, et al.
Publicado: (2025)

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
por: Haque, Ariful, et al.
Publicado: (2025)

Evaluating the Effectiveness of OpenAI's Parental Control System
por: Ersoz, Kerem, et al.
Publicado: (2026)

A Systematic Approach to Predict the Impact of Cybersecurity Vulnerabilities Using LLMs
por: Høst, Anders Mølmen, et al.
Publicado: (2025)

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
por: Navneet, Satyam Kumar, et al.
Publicado: (2025)

Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs
por: Momcilovic, Tomas Bueno, et al.
Publicado: (2024)

A sketch of an AI control safety case
por: Korbak, Tomek, et al.
Publicado: (2025)

AI security and cyber risk in IoT systems
por: Radanliev, Petar, et al.
Publicado: (2024)

Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-Physical Systems
por: Gultekin, Fikret Mert, et al.
Publicado: (2025)

Containment Verification: AI Safety Guarantees Independent of Alignment
por: Moon, Royce, et al.
Publicado: (2026)

Risks and Compliance with the EU's Core Cyber Security Legislation
por: Ruohonen, Jukka, et al.
Publicado: (2025)

An Extensive Comparison of Static Application Security Testing Tools
por: Esposito, Matteo, et al.
Publicado: (2024)

An Overview of Cyber Security Funding for Open Source Software
por: Ruohonen, Jukka, et al.
Publicado: (2024)

Risks of ignoring uncertainty propagation in AI-augmented security pipelines
por: Mezzi, Emanuele, et al.
Publicado: (2024)

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities
por: Frazier, Matthew, et al.
Publicado: (2026)

Identifying the Supply Chain of AI for Trustworthiness and Risk Management in Critical Applications
por: Sheh, Raymond K., et al.
Publicado: (2025)

DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
por: Pathak, Abhijeet, et al.
Publicado: (2025)

Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox
por: Shukla, Shivani, et al.
Publicado: (2025)

Exploring Privacy and Security as Drivers for Environmental Sustainability in Cloud-Based Office Solutions
por: Kayembe, Jason, et al.
Publicado: (2025)

Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
por: Safdar, Rijha, et al.
Publicado: (2025)

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
por: Tang, Yuheng, et al.
Publicado: (2026)

Testing Storage-System Correctness: Challenges, Fuzzing Limitations, and AI-Augmented Opportunities
por: Wang, Ying, et al.
Publicado: (2026)

Block MedCare: Advancing healthcare through blockchain integration with AI and IoT
por: Simonoski, Oliver, et al.
Publicado: (2024)

LLMs + Security = Trouble
por: Livshits, Benjamin
Publicado: (2026)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
por: Yuan, He Yang, et al.
Publicado: (2026)

Zer0n: An AI-Assisted Vulnerability Discovery and Blockchain-Backed Integrity Framework
por: Parmar, Harshil, et al.
Publicado: (2026)

LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
por: Tracy, Tyler, et al.
Publicado: (2026)

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training
por: Tantaroudas, Nikolaos D., et al.
Publicado: (2026)