Democratizing Agent Deployment Safety: A Structural Monitoring Approach
AI software development agents are increasingly capable of modifying infrastructure and security critical systems, creating risks where an agent completes its assigned task while covertly weakening safeguards through actions such as broadening permissions, degrading logging, or introducing persistence mechanisms. While frontier laboratories may deploy sophisticated monitoring pipelines, many organizations and individual users adopting coding agents lack the resources and governance maturity requ
Record details
Published: 16 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 18 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Design of policy digital twins incorporating multi-level agent based modelling
arXiv cs.CY · 16 July 2026
AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
arXiv cs.CY · 16 July 2026
Structural predictors and latent maturity regimes of robotic readiness in global health systems: evidence from machine learning-based latent clustering and class prediction
Frontiers in Robotics and AI · 16 July 2026
Exploring generative AI through core frameworks, emerging innovations, and applications
Artificial Intelligence Review · 16 July 2026
Multi-Turn On-Policy Distillation with Prefix Replay
HuggingFace Daily Papers · 15 July 2026
RoboTTT: Context Scaling for Robot Policies
HuggingFace Daily Papers · 15 July 2026
How to cite this record
ethics.ai (16 July 2026), “Democratizing Agent Deployment Safety: A Structural Monitoring Approach,” evidence record 11365, https://ethics.ai/record/11365 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.