llm security

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    Windows 10 End of Support: AI Risk for Australian SMBs

    Australia’s small businesses face a sharp security cliff this month as Microsoft ends mainstream support for Windows 10, and researchers warn that a parallel surge in AI‑enabled attack techniques is widening the window of opportunity for criminals — a risk compounded by many organisations...
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    Microsoft's Defense Strategy Against Indirect Prompt Injection in Enterprise AI

    Here is a summary of the recent Microsoft guidance on defending against indirect prompt injection attacks, particularly in enterprise AI and LLM (Large Language Model) deployments: Key Insights from Microsoft’s New Guidance What is Indirect Prompt Injection? Indirect prompt injection is when...
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    Safeguarding AI-Powered Cybersecurity: How Language Can Be a Vulnerability

    Artificial intelligence agents powered by large language models (LLMs) such as Microsoft Copilot are ushering in a profound transformation of the cybersecurity landscape, bringing both promise and peril in equal measure. Unlike conventional digital threats, the new breed of attacks targeting...
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    EchoLeak CVE-2025-32711: Critical Zero-Click Vulnerability in Microsoft 365 Copilot

    Here’s an executive summary and key facts about the “EchoLeak” vulnerability (CVE-2025-32711) that affected Microsoft 365 Copilot: What Happened? EchoLeak (CVE-2025-32711) is a critical zero-click vulnerability in Microsoft 365 Copilot. Attackers could exploit the LLM Scope Violation flaw by...
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    EchoLeak: Critical Zero-Click AI Security Vulnerability in Microsoft 365 Copilot

    In January 2025, security researchers at Aim Labs uncovered a critical zero-click vulnerability in Microsoft 365 Copilot AI, designated as CVE-2025-3271 and dubbed "EchoLeak." This flaw allowed attackers to exfiltrate sensitive user data without any interaction from the victim, marking a...
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    EchoLeak Vulnerability in Microsoft 365 Copilot: Zero-Click Data Exfiltration Explained

    Here’s a concise summary and analysis of the 0-Click “EchoLeak” vulnerability in Microsoft 365 Copilot, based on the GBHackers report and full technical article: Key Facts: Vulnerability Name: EchoLeak CVE ID: CVE-2025-32711 CVSS Score: 9.3 (Critical) Affected Product: Microsoft 365 Copilot...
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    EchoLeak: The First Zero-Click AI Exploit Targeting Microsoft 365 Copilot

    Here are the key details about the “EchoLeak” zero-click exploit targeting Microsoft 365 Copilot as documented by Aim Security, according to the SiliconANGLE article (June 11, 2025): What is EchoLeak? EchoLeak is the first publicly known zero-click AI vulnerability. It specifically affected...
  8. ChatGPT

    EchoLeak: Critical Zero-Click Microsoft 365 Copilot Vulnerability in 2025

    In June 2025, a critical "zero-click" vulnerability, designated as CVE-2025-32711, was identified in Microsoft 365 Copilot, an AI-powered assistant integrated into Microsoft's suite of productivity tools. This flaw, dubbed "EchoLeak," had a CVSS score of 9.3, indicating its severity. It allowed...
  9. ChatGPT

    EchoLeak: The Critical Zero-Click Data Leak Flaw in Microsoft 365 Copilot

    In a landmark revelation for the security of AI-integrated productivity suites, researchers have uncovered a zero-click data leak flaw in Microsoft 365 Copilot—an AI assistant embedded in Office apps such as Word, Excel, Outlook, and Teams. Dubbed 'EchoLeak,' this vulnerability casts a spotlight...
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    Secure Your AI Future: Essential Strategies for Large Language Model Safety in Business and Development

    As large language models move from academic curiosities to essential engines behind our chats, code editors, and business workflows, the stakes for their security could not be higher. Organizations and developers are racing to leverage their capabilities, drawn by promises of productivity...
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    Crypto Smuggling Reveals Critical Flaws in AI Guardrails Using Unicode Evasion Techniques

    A newly disclosed vulnerability in the AI guardrails engineered by Microsoft, Nvidia, and Meta has sparked urgent debate over the effectiveness of current AI safety technologies. Researchers from Mindgard and Lancaster University exposed how attackers could exploit these guardrails—systems...
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