·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Industrial Intelligence: The next growth opportunity for manufacturing1h◆Nvidia backs Indian startup helping companies run AI models with fewer GPUs2h◆Data center backlash is uniting America3h◆When Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems9h◆Query-Driven Learning for Lifted Reasoning9h◆Steering the Flow: Inverting Face Recognition Models via Gradient-Guided Flow Matching9h◆The Social World Model Evaluation Gap9h◆Frozen Memory Is Not Enough: Rethinking External Memory as Extraction9h◆Conviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models9h◆Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit9h◆AgentLogs: A Dataset for Opening the Black Box of Cloud Agents on GitHub9h◆What Can One Sentence Fix? A Failure Taxonomy and a Minimal Language Correction for Frozen VLA Policies9h◆The Value of Memory in Language Agents9h◆EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection9h◆From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion9h◆Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents9h◆Agent Memory Is a Surface for Endogenous Authorization Laundering9h◆Recovering topological information of light by topological learning9h◆ChatGPT Images 2.5 in the Wild: A Launch-Period Dataset and Detector Evaluation9h◆Synthetic linguistic data9h◆Industrial Intelligence: The next growth opportunity for manufacturing1h◆Nvidia backs Indian startup helping companies run AI models with fewer GPUs2h◆Data center backlash is uniting America3h◆When Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems9h◆Query-Driven Learning for Lifted Reasoning9h◆Steering the Flow: Inverting Face Recognition Models via Gradient-Guided Flow Matching9h◆The Social World Model Evaluation Gap9h◆Frozen Memory Is Not Enough: Rethinking External Memory as Extraction9h◆Conviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models9h◆Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit9h◆AgentLogs: A Dataset for Opening the Black Box of Cloud Agents on GitHub9h◆What Can One Sentence Fix? A Failure Taxonomy and a Minimal Language Correction for Frozen VLA Policies9h◆The Value of Memory in Language Agents9h◆EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection9h◆From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion9h◆Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents9h◆Agent Memory Is a Surface for Endogenous Authorization Laundering9h◆Recovering topological information of light by topological learning9h◆ChatGPT Images 2.5 in the Wild: A Launch-Period Dataset and Detector Evaluation9h◆Synthetic linguistic data9h◆
News/Distributing Security Controls Through Harness Engineering
arxiv
PublishedJuly 30, 2026 at 4:00 AM
—neutral

Distributing Security Controls Through Harness Engineering

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.25890v1 Announce Type: new Abstract: AI coding agents are being adopted at historic speed, yet security and risk concerns remain the primary barrier to scaling agentic AI across organizations. Existing security controls for coding agents are not systematically distributed to engineering t

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    Pi agent harness
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#security#ai-coding-agents#risk-mitigation

No replies yet. Be first.

Mentioned models
01
  • 01
    Pi agent harness
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#security#ai-coding-agents#risk-mitigation

Related coverage

More from ARXIV
arxivWhen Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems9harxivQuery-Driven Learning for Lifted Reasoning9harxivSteering the Flow: Inverting Face Recognition Models via Gradient-Guided Flow Matching9harxivThe Social World Model Evaluation Gap9h
The Bubble Brief
MON · WED · FRI

Read security insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews