Conference
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CRiDiT: Instantiating a run-time testbed for trust calibration in AI-infused systems
The integration of AI into larger technical infrastructures has made the alignment of human trust with system trustworthiness, known as trust calibration, a critical engineering concern, since misplaced trust in either direction leads to operational and safety risks. While conceptual frameworks provide a strong foundat...
Yun-Tian Ding, N. Herbaut, C. Salinesi
· 0 citations
Conference
Sep 2026
A Reusable Governance-Aware Evidence Infrastructure for Traceability Applications
Traceability applications rarely fail because organizations lack data. They fail because the evidence needed for recall, audit, and compliance decisions is distributed across enterprise systems that were never designed to act as a shared cross-organizational evidence layer. Standards supply event and provenance semanti...
Aleksandar Panayotov, Ivan Lambov, Mariana Atanasova
· IEEE International Conferenc... · 0 citations
Sep 2026
Zero-Trust Architecture for AI Workflow Builders: Securing AI-Powered Business Automation Tools
Coupling Large Language Models (LLMs) to low-code platforms compresses business-automation delivery cycles. Yet, the resulting composable architectures expose attack surfaces that perimeter-based controls were never designed to police. We propose the Zero-Trust Automation Lifecycle (ZTAL), a methodology that threads co...
Owuala Senator Obinwanne, Ike Bright Ikemdinachi, Omoyeni Oluwakemi et al.
· International Journal of Art... · 0 citations
Preprint
Oct 2026
PHP2Shell and the Future of AI-Discovered Vulnerability Disclosure: Evidence, Verification, and Human Authority
AI-assisted vulnerability discovery can produce technically plausible findings faster than maintainers can validate, coordinate, and safely disclose them. The resulting challenge is not only to establish whether a vulnerability claim is credible, but also to ensure that its supporting evidence, human authorization, int...
Toqeer Ali Syed, A. Khan
· 0 citations
Review
Open access
Oct 2026
A regulation-aware architecture for governing AI-generated content: provenance, labeling, privacy, safety, and institutional compliance
The rapid adoption of generative AI across multiple modalities has raised concerns about authenticity, labeling, privacy, safety, accountability, and legal compliance in AI-generated content produced within public-interest institutions, particularly in education and public administration. Although prior research ha...
I. García-López, J. Molina-Espinosa, M.-S. Ramirez-Montoya et al.
· Frontiers in Artificial Inte... · 0 citations
Review
Oct 2026
ToolContractGate: Versioned Trusted Contracts for Drift-Safe Agent Tool Invocation
Agent tool approval and input validation do not, by themselves, bind a request to an approved source artifact. ToolContractGate provides a deterministic runtime contract evaluator for OpenAPI-derived agent tools. Each versioned ToolContract combines a stored OpenAPI fingerprint with access, schema, and behavioral decla...
Sachin Gupta
· 0 citations