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Language Switching Attacks: The New Threat Vector in LLM Security In this clip from "Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI," Diptanshu Purwar discusses the growing trend of language-switching attacks. These techniques exploit the ongoing development and training gaps in Large Language Models (LLMs). Diptanshu explains how attackers can evade an LLM's built-in filters and guardrails by rapidly shifting between different languages, particularly less common ones, to find weaknesses where the model's safety data is sparse.

Something unexplained has appeared inside Securonix. No sender. No clue. Just a steady glow that feels… aware. It doesn’t open. It doesn’t move. But everyone can sense it’s waiting for us to notice. The mystery begins here.

New question. Real answers. No fluff. Welcome back to Off the Blocks — Fireblocks’ rapid-fire video series, shot live at TOKEN2049 Singapore. In Episode 3, we asked industry leaders just one thing: In one sentence, what does the future of onchain finance mean to you? From programmable liquidity to permissioned DeFi, their responses are bold, honest, and sharply focused on what comes next. This is where ideas become infrastructure, and where vision meets execution.

In this video, we dive into Cursor 2.0 and Composer. Watch as we write, refine, and analyze code in real time, then test how secure the generated code really is...

CrowdStrike Falcon Exposure Management simplifies network security with its Network Vulnerability Assessment, offering a modern way to secure network infrastructure without complex legacy tools. Learn how the system utilizes your existing Falcon sensors to provide unmatched continuous visibility-instantly correlating new threats against your assets—and leverage authenticated scanning for deeper, more complete vulnerability inspection.