<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>RuntimeRebel — #Large Language Models</title><description>Cybersecurity articles tagged #Large Language Models on RuntimeRebel.</description><link>https://runtimerebel.com</link><item><title>AI Guardrails: Hindering SOCs and Aiding Adversaries</title><link>https://runtimerebel.com/blog/ai-guardrails-hindering-socs-and-aiding-adversaries</link><guid isPermaLink="true">https://runtimerebel.com/blog/ai-guardrails-hindering-socs-and-aiding-adversaries</guid><description>Inflexible AI guardrails can hinder security operations, slowing investigations and inadvertently aiding adversaries.</description><pubDate>Tue, 01 Sep 2026 02:45:28 GMT</pubDate><category>Artificial Intelligence</category><category>Large Language Models</category><category>Security Operations</category><category>Threat Intelligence</category><category>AI Security</category></item><item><title>AI &apos;Mind Viruses&apos; Spread via Persistent Prompt Files</title><link>https://runtimerebel.com/blog/ai-mind-viruses-spread-via-persistent-prompt-files</link><guid isPermaLink="true">https://runtimerebel.com/blog/ai-mind-viruses-spread-via-persistent-prompt-files</guid><description>Security research reveals self-propagating AI &apos;mind viruses&apos; can spread between autonomous agents through editable system prompt files.</description><pubDate>Tue, 18 Aug 2026 16:19:59 GMT</pubDate><category>AI</category><category>Large Language Models</category><category>Prompt Injection</category><category>Anthropic</category><category>Autonomous Agents</category></item><item><title>Context Bombing: Defending Against AI Hacking Agents</title><link>https://runtimerebel.com/blog/context-bombing-defending-against-ai-hacking-agents</link><guid isPermaLink="true">https://runtimerebel.com/blog/context-bombing-defending-against-ai-hacking-agents</guid><description>Researchers at Tracebit introduce &apos;context bombing,&apos; a defensive prompt injection technique to shut down AI hacking agents by exploiting guardrails.</description><pubDate>Wed, 12 Aug 2026 16:50:19 GMT</pubDate><category>AI Security</category><category>Prompt Injection</category><category>Large Language Models</category><category>AWS Security</category><category>Tracebit</category></item><item><title>Claude Mythos: Securing LLMs in Enterprise — Hype vs. Reality</title><link>https://runtimerebel.com/blog/claude-mythos-securing-llms-in-enterprise-hype-vs-reality</link><guid isPermaLink="true">https://runtimerebel.com/blog/claude-mythos-securing-llms-in-enterprise-hype-vs-reality</guid><description>Examine the security implications of Anthropic&apos;s Claude Mythos and other LLMs in enterprise.</description><pubDate>Thu, 30 Jul 2026 17:32:21 GMT</pubDate><category>Claude Mythos</category><category>Anthropic</category><category>Large Language Models</category><category>LLM Security</category><category>Prompt Injection</category><category>AI Governance</category><category>Enterprise AI</category></item><item><title>Chinese LLMs Reshape Cyber Defense: Attacker Advantage</title><link>https://runtimerebel.com/blog/chinese-llms-reshape-cyber-defense-attacker-advantage</link><guid isPermaLink="true">https://runtimerebel.com/blog/chinese-llms-reshape-cyber-defense-attacker-advantage</guid><description>Chinese Large Language Models (LLMs) are poised to shift the cyber defense balance, potentially giving attackers an advantage. Understand the implications.</description><pubDate>Fri, 03 Jul 2026 14:12:28 GMT</pubDate><category>Large Language Models</category><category>AI</category><category>Cyber Defense</category><category>Threat Intelligence</category><category>China</category></item><item><title>Anthropic Claude 5 Sonnet: Enterprise Performance and Safety Analysis</title><link>https://runtimerebel.com/blog/anthropic-claude-5-sonnet-enterprise-performance-and-safety-analysis</link><guid isPermaLink="true">https://runtimerebel.com/blog/anthropic-claude-5-sonnet-enterprise-performance-and-safety-analysis</guid><description>Anthropic releases Claude 5 Sonnet, achieving performance parity with Opus 4.8. Technical analysis of safety benchmarks and cybersecurity implications.</description><pubDate>Wed, 01 Jul 2026 05:40:28 GMT</pubDate><category>Anthropic</category><category>Claude 5 Sonnet</category><category>AI Safety</category><category>Large Language Models</category><category>Enterprise Security</category></item><item><title>LLM Prompt Injection: Role Confusion Exposes Core Architectural Flaws</title><link>https://runtimerebel.com/blog/llm-prompt-injection-role-confusion-exposes-core-architectural-flaws</link><guid isPermaLink="true">https://runtimerebel.com/blog/llm-prompt-injection-role-confusion-exposes-core-architectural-flaws</guid><description>An in-depth analysis of LLM prompt injection, detailing how &apos;role confusion&apos; in model representations undermines tag-based security and demands architectural solutions.</description><pubDate>Thu, 25 Jun 2026 13:06:12 GMT</pubDate><category>Prompt Injection</category><category>LLM Security</category><category>AI Security</category><category>Role Confusion</category><category>Large Language Models</category></item><item><title>AI Agent Traps: Information as an Attack Surface for Autonomous Systems</title><link>https://runtimerebel.com/blog/ai-agent-traps-information-as-an-attack-surface-for-autonomous-systems</link><guid isPermaLink="true">https://runtimerebel.com/blog/ai-agent-traps-information-as-an-attack-surface-for-autonomous-systems</guid><description>Attackers exploit trusted data sources to deploy AI agent traps, leading to hidden content injections and cognitive state poisoning for autonomous AI systems.</description><pubDate>Thu, 25 Jun 2026 00:59:45 GMT</pubDate><category>AI Security</category><category>AI Agent Traps</category><category>Data Poisoning</category><category>Large Language Models</category><category>Autonomous AI</category><category>Attack Surface</category><category>Prompt Injection</category></item><item><title>Securing Advanced AI Models: Addressing Dual-Use Risks</title><link>https://runtimerebel.com/blog/securing-advanced-ai-models-addressing-dual-use-risks</link><guid isPermaLink="true">https://runtimerebel.com/blog/securing-advanced-ai-models-addressing-dual-use-risks</guid><description>Industry professionals discuss critical aspects of AI model security, focusing on dual-use capabilities, robust safeguards, and effective tiered access mechanisms.</description><pubDate>Fri, 12 Jun 2026 13:20:59 GMT</pubDate><category>AI Security</category><category>Large Language Models</category><category>Dual Use Technology</category><category>Responsible AI</category><category>Access Control</category><category>AI Governance</category></item><item><title>Anthropic Claude Mythos-Class Models: Security Implications of Public Rollout</title><link>https://runtimerebel.com/blog/anthropic-claude-mythos-class-models-security-implications-of-public-rollout</link><guid isPermaLink="true">https://runtimerebel.com/blog/anthropic-claude-mythos-class-models-security-implications-of-public-rollout</guid><description>Anthropic confirms public rollout plans for Claude Mythos-class models, addressing previous delays caused by software security risks and safety concerns.</description><pubDate>Fri, 29 May 2026 01:00:17 GMT</pubDate><category>Anthropic</category><category>Claude Mythos</category><category>AI Security</category><category>Prompt Injection</category><category>Large Language Models</category></item><item><title>White House Engages AI Labs on Emerging AI Security Concerns</title><link>https://runtimerebel.com/blog/white-house-engages-ai-labs-on-emerging-ai-security-concerns</link><guid isPermaLink="true">https://runtimerebel.com/blog/white-house-engages-ai-labs-on-emerging-ai-security-concerns</guid><description>The White House is engaging leading AI labs like Anthropic to address security of AI models and software, highlighting growing concerns over AI safety and supply chain…</description><pubDate>Sat, 18 Apr 2026 00:40:57 GMT</pubDate><category>AI Security</category><category>Anthropic</category><category>Government Policy</category><category>Software Security</category><category>AI Governance</category><category>Large Language Models</category></item><item><title>AWS Bedrock AI Agent Security: Analysis of Eight Attack Vectors</title><link>https://runtimerebel.com/blog/aws-bedrock-ai-agent-security-analysis-of-eight-attack-vectors</link><guid isPermaLink="true">https://runtimerebel.com/blog/aws-bedrock-ai-agent-security-analysis-of-eight-attack-vectors</guid><description>Research identifies eight critical attack vectors in AWS Bedrock, focusing on risks to integrated enterprise data and automated Lambda function execution.</description><pubDate>Mon, 23 Mar 2026 16:25:04 GMT</pubDate><category>AWS Bedrock</category><category>AI Security</category><category>Cloud Exploits</category><category>Large Language Models</category></item></channel></rss>