AETHER-PROTOCOL-P

⬡ AETHER PROTOCOL — Aether AI LLC. 2026 面向自主AI系统的密码学验证短时身份基础设施 专利申请中 — 美国申请号 64/006,746 — 2026年3月16日提交 "世界上每一个AI系统都可能因向其流水线注入虚假指令而被攻破。Aether Protocol 使这种情况在物理上不可能发生。" 问题 2026年2月25日，Check Point Research 披露了 CVE-2025-59536 — 一个存在于 Claude Code 中的严重漏洞（CVSS 8.7），该漏洞允许攻击者向 .claude/settings.json...

redamon

Unmask the hidden before the world does An autonomous AI framework that chains reconnaissance, exploitation, and post-exploitation into a single pipeline, then goes further by triaging every finding, implementing code fixes, and opening pull requests on your repository. From first packet to merge...

Atlasのご紹介：WizのAI脆弱性リサーチャー

実証可能なリアルなエクスプロイトを用いてすべての検出結果を検証する、脆弱性調査のための自律型AIシステム「Atlas」をWizがどのように構築したかをご覧ください。...

World's Largest AI Model Repository Hugging Face Breached by Autonomous AI Agent

In an ironic twist, open-source artificial intelligence AI platform Hugging Face revealed that it was the victim of a hack perpetrated by an autonomous AI agent system. The company said it detected and responded to the incident targeting its production infrastructure earlier last week. "We...

Top AI Agents Built to Catch Malicious Code Can Be Tricked Into Running It

Ask an AI coding agent to scan open-source code for security holes, and it might run the attacker's code on your own machine instead. That is the finding in a proof-of-concept published Wednesday by the AI Now Institute, an attack it calls "Friendly Fire. " It works against Anthropic's Claude Cod...

Guardian Agents: The Next Layer of Identity Governance

AI agents are moving through enterprise environments, inheriting permissions, traversing systems, and executing decisions at machine speed with minimal oversight. The identity infrastructure built to govern human access wasn't designed for autonomous actors, and the gap between what enterprises a...

The Machine Found It First. The Machine Will Exploit It Next.

& For decades, the question behind every CVE has been "who found it, and how fast can attackers catch up?" As of May 12, 2026, the question has flipped. Machines found the bug. Machines will weaponize the next one. The race is no longer human-versus-human with a stopwatch. Discovery Discovery...

Defense in depth for autonomous AI agents

Designing Secure Autonomous AI Agents with Defense in Depth AI agents are moving beyond assistance and into action. Instead of generating content, they invoke tools, modify data, trigger workflows, and operate across systems with increasing autonomy. This shift changes the security problem...

AgentWard: A Lifecycle Security Architecture for Autonomous AI Agents

Autonomous AI agents extend large language models into full runtime systems that load skills, ingest external content, maintain memory, plan multi-step actions, and invoke privileged tools. In such systems, security failures rarely remain confined to a single interface; instead, they can propagat...

Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

Autonomous AI agents built on open-source runtimes such as OpenClaw expose every available tool to every session by default, regardless of the task. A summarization task receives the same shell execution, subagent spawning, and credential access capabilities as a code deployment task, a 15x...

Design Principles for the Construction of a Benchmark Evaluating Security Operation Capabilities of Multi-Agent AI Systems

As Large Language Models LLMs and multi-agent AI systems are demonstrating increasing potential in cybersecurity operations, organizations, policymakers, model providers, and researchers in the AI and cybersecurity communities are interested in quantifying the capabilities of such AI systems to...

Securing Autonomous AI Agents with TrendAI & NVIDIA OpenShell

Learn how TrendAI and NVIDIA OpenShell help secure autonomous AI agents and build trusted enterprise AI systems with stronger visibility and control...