TraceTree

TraceTree TraceTree デモ TraceTree cascade-analyzer は、エージェンティック時代のために設計された自律型セキュリティ生物です。単純なスキャンを超え、堅牢で強化された拡張可能な検出エコシステムへと進化します。マスコットであるクモのように、TraceTree は8本の特殊な「脚」を使って開発ワークフローを包括的に保護するウェブを織り上げます。 目次 リポジトリ構造 動作レシートのエクスポート TraceTreeスパイダーの8本の脚 動作の仕組み 検出内容 行動シグネチャ 8パターン 時間的パターン 5パターン サポート対象...

llm-agent-testbed

🛡️ LLM 智能体安全测试平台 面向工具调用型 LLM 智能体的实证漏洞与防御测试框架 一个严谨的安全测试平台，用于检验配备工具的 LLM 智能体是否可能通过提示注入、角色冒充社会工程学和混淆代理攻击被操纵，从而实施未经授权的数据外泄。 核心架构 • 攻击分类 • 朴素版 vs 加固版 • 快速开始 • 路线图 🎯 执行摘要 现代 LLM 驱动的智能体会执行特权操作：查询内部数据库、读取文件系统以及与后端 API 交互。每一个操作都是一道边界，攻击者的提示都可能在此触发未经授权的执行。 ⚠️ 关键架构要点： 漏洞很少单独存在于 LLM 权重之中。...

AccuKnox Wins Best AI Startup Award for Enterprise Agentic AI Security at BSides Bangalore

Bangalore, India, 22nd July 2026, CyberNewswire...

ADR: An Agentic Detection System for Enterprise Agentic AI Security

We present the Agentic AI Detection and Response ADR system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Context Protocol MCP. We identify three persistent challenges in this domain: 1 limited observability -- existing Endpoint...

Defense at AI speed: Microsoft’s new multi-model agentic security system tops leading industry benchmark

In this article 1. AI-powered vulnerability discovery at hyper-scale 2. Codename: MDASH—Microsoft Security’s new multi-model agentic scanning harness 3. Using codename MDASH for security research 4. The 5.12.2026 Patch Tuesday cohort 5. Two deep dives 1. CVE-2026-33827—Remote unauthenticated UAF ...

Towards Optimal Agentic Architectures for Offensive Security Tasks

Agentic security systems increasingly audit live targets with tool-using LLMs, but prior systems fix a single coordination topology, leaving unclear when additional agents help and when they only add cost. We treat topology choice as an empirical systems question. We introduce a controlled...

The agentic SOC—Rethinking SecOps for the next decade

Every major shift in cyberattacker behavior over the past decade has followed a meaningful shift in how defenders operate. When security operation centers SOCs deployed endpoint detection and response EDR—and later extended detection and response XDR—security teams raised the bar, pushing...

The Agentic Security Crisis: Why You Need to Act Now

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Security Considerations for Multi-Agent Systems

Multi-agent artificial intelligence systems or MAS are systems of autonomous agents that exercise delegated tool authority, share persistent memory, and coordinate via inter-agent communication. MAS introduces qualitatively distinct security vulnerabilities from those documented for singular AI...

How Trend Micro Empowers the SOC with Agentic SIEM

By delivering both XDR leadership and Agentic SIEM innovation under one platform, Trend is redefining what security operations can be...

A Survey on Agentic Security: Applications, Threats and Defenses

The rapid shift from passive LLMs to autonomous LLM-agents marks a new paradigm in cybersecurity. While these agents can act as powerful tools for both offensive and defensive operations, the very agentic context introduces a new class of inherent security risks. In this work we present the first...

Empowering defenders in the era of agentic AI with Microsoft Sentinel

Microsoft unveils a new wave of security innovation—delivering an agentic platform to protect organizations at scale We are living through a turning point in how organizations work and defend themselves. Across industries, “Frontier Firms” are emerging; these are businesses where humans and AI...

Microsoft Expands Sentinel Into Agentic Security Platform With Unified Data Lake

Microsoft on Tuesday unveiled the expansion of its Sentinel Security Incidents and Event Management solution SIEM as a unified agentic platform with the general availability of the Sentinel data lake. In addition, the tech giant said it's also releasing a public preview of Sentinel Graph and...