most citedDemystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Can AI Write Compliant Code, and to What Extent? Evaluating SOC 2 Compliance of Claude Fable 5, Claude Opus 4.8, and Claude Opus 5 Across Four Use Cases

Iccha Sethi, Herman Errico

Software teams now delegate production code to language models, including code that provisions storage, handles credentials, and stores regulated data, so we asked whether a model…

cs.CR20262 cited

Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput

Alfredo Pesoli, Herman Errico, Lorenzo Cavallaro

Recent demonstrations of large language models producing candidate and confirmed vulnerabilities in production software have renewed the narrative that AI will reshape offensive an…

cs.CR2026

Autonomous Action Runtime Management(AARM):A System Specification for Securing AI-Driven Actions at Runtime

Herman Errico

As artificial intelligence systems evolve from passive assistants into autonomous agents capable of executing consequential actions, the security boundary shifts from model outputs…

cs.CR2025

Securing the Model Context Protocol (MCP): Risks, Controls, and Governance

Herman Errico, Jiquan Ngiam, Shanita Sojan

The Model Context Protocol (MCP) replaces static, developer-controlled API integrations with more dynamic, user-driven agent systems, which also introduces new security risks. As M…

cs.CR2025

Offensive tool determination strategy R.I.D.D.L.E. + (C)

Herman Errico

Intentional threats are a major risk factor related to vulnerabilities in critical infrastructure assets, and an accurate risk assessment is necessary to analyze threats, assess vu…