collaborators

8 papers

cs.LO2026

Auditing AI Investment Recommendations as Executable Actions

Sidnei Barbieri, Wellington Vargas, Ágney Lopes Roth Ferraz

AI systems increasingly produce investment recommendations, yet the usual evaluations ask the wrong question. Realized return is noisy and easy to overfit, and agreement with a ref…

cs.CR2026

From Production SIEM to Reusable Cybersecurity Artifacts

Sidnei Barbieri, Leonardo Vaz de Meneses, Ágney Lopes Roth Ferraz +2

Operational evidence is not automatically scientific evidence. The most realistic Security Operations Center (SOC) data is production telemetry, yet it remains scientifically inacc…

cs.CR2026

ARENA: An Architecture for Measuring the Transferability of Autonomous Cyber Defense

Sidnei Barbieri, Ágney Lopes Roth Ferraz, Wagner Comin Sonaglio +3

Operational evidence is not automatically scientific evidence. The most realistic Security Operations Center (SOC) data is production telemetry, yet it remains scientifically inacc…

cs.CR2026

TopVenues: A Reproducible Corpus and Tooling Substrate for Cybersecurity Literature Reviews

Sidnei Barbieri, Ágney Lopes Roth Ferraz, Lourenço Alves Pereira Júnior

Cybersecurity literature reviews require a reproducible denominator: the set of papers that a protocol includes before screening and synthesis begin. Today, that denominator is oft…

cs.CR2026

AutoSUT: The Environment Semantics Gap in Structured CTI for Adversary Emulation

Sidnei Barbieri, Ágney Lopes Roth Ferraz, Lourenço Alves Pereira Júnior

Structured Cyber Threat Intelligence (CTI) increasingly supports adversary emulation, detection evaluation, and cyber range design, yet each workflow still requires a target System…

cs.CR2026

PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents

Sidnei Barbieri, Ágney Lopes Roth Ferraz, Lourenço Alves Pereira Júnior

Connecting large language models (LLMs) to defensive enforcement requires more than asking a model whether an attack is happening. A defender must decide which model outputs may ch…