Cover Image

CIA+TA Risk Assessment for AI Reasoning Vulnerabilities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Aydin, Yuksel
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7
by: Aydin, Yuksel
Published: (2025)

"Think First, Verify Always": Training Humans to Face AI Risks
by: Aydin, Yuksel
Published: (2025)

Trust No AI: Prompt Injection Along The CIA Security Triad
by: Rehberger, Johann
Published: (2024)

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
by: Gasmi, Tarek, et al.
Published: (2025)

Graph of Effort: Quantifying Risk of AI Usage for Vulnerability Assessment
by: Mehra, Anket, et al.
Published: (2025)

Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
by: Zaboli, Aydin, et al.
Published: (2025)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
by: Liu, Honghao, et al.
Published: (2026)

A Practical Framework for Evaluating Medical AI Security: Reproducible Assessment of Jailbreaking and Privacy Vulnerabilities Across Clinical Specialties
by: Wang, Jinghao, et al.
Published: (2025)

AI-Based Vulnerability Analysis of NFT Smart Contracts
by: Wang, Xin, et al.
Published: (2025)

Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment
by: Stefanidou, Artemis, et al.
Published: (2024)

VADER: A Human-Evaluated Benchmark for Vulnerability Assessment, Detection, Explanation, and Remediation
by: Liu, Ethan TS., et al.
Published: (2025)

Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies
by: Al-Karaki, Jamal, et al.
Published: (2024)

VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection
by: Nie, Yuzhou, et al.
Published: (2025)

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
by: Gasmi, Tarek, et al.
Published: (2025)

Taught by the Flawed: How Dataset Insecurity Breeds Vulnerable AI Code
by: Xia, Catherine, et al.
Published: (2025)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
by: Cotroneo, Domenico, et al.
Published: (2023)

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
by: Wang, Xunguang, et al.
Published: (2026)

Quantifying AI Vulnerabilities: A Synthesis of Complexity, Dynamical Systems, and Game Theory
by: Kereopa-Yorke, B
Published: (2024)

Dynamic Risk Assessments for Offensive Cybersecurity Agents
by: Wei, Boyi, et al.
Published: (2025)

Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
by: Abtahi, Farhad, et al.
Published: (2025)

What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
by: Ma, Boyang, et al.
Published: (2026)

MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
by: Gajjar, Jugal, et al.
Published: (2025)

Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper
by: Almuhaidib, Abdulrahman S, et al.
Published: (2025)

A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares
by: Cohen, Stav, et al.
Published: (2024)

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)

Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards
by: Madhavan, Keerthana, et al.
Published: (2025)

Security Risks Concerns of Generative AI in the IoT
by: Xu, Honghui, et al.
Published: (2024)

STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment
by: Cyrille, Tsafac Nkombong Regine, et al.
Published: (2026)

AVIATOR: Towards AI-Agentic Vulnerability Injection Workflow for High-Fidelity, Large-Scale Code Security Dataset
by: Lbath, Amine, et al.
Published: (2025)

How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
by: Dziemian, Mateusz, et al.
Published: (2026)

Emerging Cyber Attack Risks of Medical AI Agents
by: Qiu, Jianing, et al.
Published: (2025)

Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks
by: Xing, Wenpeng, et al.
Published: (2025)

AgenTRIM: Tool Risk Mitigation for Agentic AI
by: Betser, Roy, et al.
Published: (2026)

Mapping LLM Security Landscapes: A Comprehensive Stakeholder Risk Assessment Proposal
by: Pankajakshan, Rahul, et al.
Published: (2024)

ATAG: AI-Agent Application Threat Assessment with Attack Graphs
by: Gandhi, Parth Atulbhai, et al.
Published: (2025)

Benchmarking Safety Risks of Knowledge-Intensive Reasoning under Malicious Knowledge Editing
by: Mao, Qinghua, et al.
Published: (2026)

SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment
by: Fang, Xianya, et al.
Published: (2026)

When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot Plugins
by: Kaya, Yigitcan, et al.
Published: (2025)

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System
by: Zambare, Pallavi, et al.
Published: (2025)