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Agentic AI Foundations, GPT‑5.1 Coding Boost, and AI Security Sandboxes...
Mercredi 10 décembre 2025 à 13:55
Sandboxing AI Assistants
Securing AI Copilots with OWASP Practices
Andra Lezza outlines a comprehensive threat model for AI assistants, adapting the OWASP AI Exchange framework and the LLM‑specific Top 10 risks to protect data pipelines from injection, leakage, and unauthorized tool access. The presentation recommends granular authorization, template‑driven interactions, and DevSecOps pipelines to harden both independent and multi‑tenant copilot architectures. InfoQ details these controls, while TechRadar adds that industry‑wide sandboxing standards are still nascent, urging developers to adopt layered defenses now.
InfoQ
Identity Management as a Sandbox for Agentic Workflows
Shiv Ramji of Okta’s Auth0 unit argues that robust identity platforms are the first line of defense against rogue AI agents, effectively sandboxing their execution contexts through zero‑trust policies and token‑based isolation. The Register reports that such approaches can curb “agentic run‑amok” scenarios while preserving seamless integration with enterprise tools. This perspective aligns with broader calls for standardized agent sandboxes across cloud providers.
The Register
Coding Agents & Standards
Linux Foundation Launches the Agentic AI Foundation
The Linux Foundation has created the Agentic AI Foundation (AAIF) to steward open‑source standards for AI agents, consolidating Anthropic’s Model Context Protocol (MCP), Block’s Goose, and OpenAI’s AGENTS.md under a neutral governance model. SD Times notes the foundation’s heavyweight membership—including Amazon, Google, and Microsoft—while TechCrunch emphasizes the move as a bulwark against proprietary fragmentation. Ars Technica adds that the AAIF aims to make MCP the “USB‑C” of AI, fostering interoperable tooling for developers.
SD Times
TechCrunch
Ars Technica
OpenAI Unveils GPT‑5.1 Coding Model
OpenAI’s latest GPT‑5.1‑Codex‑Max model is tuned for long‑running coding tasks, employing code‑compaction techniques that cut latency and improve instruction fidelity. InfoQ highlights the model’s faster reasoning path and its ability to generate more coherent code suggestions, positioning it as a direct competitor to emerging agents like Google’s Gemini. Early benchmarks show a 30 % reduction in token usage for complex repository‑wide refactors.
InfoQ
MCP Servers Become Core Dev‑Tool Infrastructure
A year after MCP’s open‑source release, engineers report that internal MCP servers now power everyday workflows—linking agents to ticketing systems, observability platforms, and even legacy ALM tools. The Pragmatic Engineer surveys 46 developers, revealing that business‑unit stakeholders are the heaviest users and that internal deployments vastly outnumber public instances. This internal‑first strategy effectively creates serverless‑style endpoints that agents can query on demand, reshaping the software development lifecycle.
The Pragmatic Engineer
AI Landscape & Governance
Pentagon Deploys Gemini‑Powered Military AI Platform
The U.S. Department of Defense announced a new AI suite built on Google’s Gemini, promising accelerated decision‑making and autonomous targeting capabilities for next‑generation forces. TechSpot reports that the platform integrates real‑time sensor fusion with generative reasoning, raising both performance expectations and ethical concerns about lethal autonomy. Analysts caution that rigorous testing and transparent oversight will be essential to mitigate misuse.
TechSpot
DeepSeek’s Efficient Reasoning Models Under Scrutiny
ScienceNews examines DeepSeek’s claim of achieving high‑level math and coding reasoning on modest hardware, noting that peer‑review reveals opaque internal mechanisms for multi‑step problem solving. While the cost‑effective approach could democratize advanced AI, the lack of explainability fuels debate over reliability in production environments. Researchers call for open benchmarks to validate DeepSeek’s true capabilities.
sciencenews.org
EU Antitrust Probe Targets Google’s AI Search Summaries
The European Commission has opened an investigation into Google’s AI‑generated search snippets, alleging potential antitrust violations and inadequate compensation for content creators whose data train the models. TechCrunch details the probe’s focus on whether Google unfairly leverages its search dominance to promote proprietary AI features. The case may set precedents for how AI‑enhanced services are regulated in the digital market.
TechCrunch
Emerging Tech Showcases
Google Announces First AI‑Powered Smart Glasses
Google is set to challenge Meta with a consumer‑focused line of AI‑enabled smart glasses, integrating on‑device language models for real‑time visual assistance and contextual queries. TechCrunch reports that the hardware will support multimodal interactions, positioning it as a flagship product for the company’s 2026 AI roadmap. Early demos suggest seamless hand‑free access to Google’s knowledge graph and translation services.
TechCrunch
Google XR Glasses Demo Gemini Assistant in the Lab
During a hands‑on session at Google’s Hudson River office, engineers tested Android XR glasses paired with the Gemini model, showcasing voice‑driven code suggestions, recipe queries, and spatial navigation. ZDNet describes the experience as a “future I’d actually want to live in,” noting the glasses’ ability to switch between developer kits and consumer wearables while maintaining low‑latency AI responses. The prototype hints at broader enterprise deployments for augmented‑reality workflows.
Zdnet