From Cutting-Edge to Critical Risk: Unpacking the Cybersecurity Dangers of LLM Integration - Part 2: Defending at the Inline Edge In Part 1, we explored how integrating large language models (LLMs) into business applications creates new and often misunderstood security exposures - from prompt injection and data leakage to brand impersonation and compliance risks. Rotem Elharar |December 16, 2025
Top 5 LLM Security Risks Every Business Must Address The adoption of large language models (LLMs) is revolutionizing how businesses operate, from automating customer support to accelerating content creation and data analysis. These models offer unprecedented efficiency and personalization, giving companies a competitive edge and enhancing customer experiences. Dror Zelber |November 18, 2025
ShadowLeak: A Zero-Click, Service-Side Attack Exfiltrating Sensitive Data Using ChatGPT’s Deep Research Agent We found a zero-click flaw in ChatGPT’s Deep Research agent when connected to Gmail and browsing: A single crafted email quietly makes the agent leak sensitive inbox data to an attacker with no user action or visible UI. Co-Lead Researchers: Zvika Babo, Gabi Nakibly; Contributor: Maor Uziel |September 18, 2025
From Cutting-Edge to Critical Risk: Unpacking the Cybersecurity Dangers of LLM Integration – Part 1 Large Language Models (LLMs) are reshaping industries, unlocking unparalleled innovation and efficiency. But with this progress comes a serious concern - new cybersecurity risks that organizations must confront. Rotem Elharar |May 21, 2025