Skip to main content
← All Articles

Tag

#Large Language Models

12 articles

Advertisement

AI Guardrails: Hindering SOCs and Aiding Adversaries
INFO
Threat Intel

AI Guardrails: Hindering SOCs and Aiding Adversaries

Inflexible AI guardrails can hinder security operations, slowing investigations and inadvertently aiding adversaries.

Runtime Rebel Intel
4 min read · Sep 1, 2026
AI 'Mind Viruses' Spread via Persistent Prompt Files
INFO
Threat Intel

AI 'Mind Viruses' Spread via Persistent Prompt Files

Security research reveals self-propagating AI 'mind viruses' can spread between autonomous agents through editable system prompt files.

Runtime Rebel Intel
5 min read · Aug 18, 2026
INFO
Threat Intel

Context Bombing: Defending Against AI Hacking Agents

Researchers at Tracebit introduce 'context bombing,' a defensive prompt injection technique to shut down AI hacking agents by exploiting guardrails.

Runtime Rebel Intel
4 min read · Aug 12, 2026
Claude Mythos: Securing LLMs in Enterprise — Hype vs. Reality
INFO
Threat Intel

Claude Mythos: Securing LLMs in Enterprise — Hype vs. Reality

Examine the security implications of Anthropic's Claude Mythos and other LLMs in enterprise.

Runtime Rebel Intel
5 min read · Jul 30, 2026
Chinese LLMs Reshape Cyber Defense: Attacker Advantage
INFO
Threat Intel

Chinese LLMs Reshape Cyber Defense: Attacker Advantage

Chinese Large Language Models (LLMs) are poised to shift the cyber defense balance, potentially giving attackers an advantage. Understand the implications.

Runtime Rebel Intel
4 min read · Jul 3, 2026
INFO
Threat Intel

Anthropic Claude 5 Sonnet: Enterprise Performance and Safety Analysis

Anthropic releases Claude 5 Sonnet, achieving performance parity with Opus 4.8. Technical analysis of safety benchmarks and cybersecurity implications.

Runtime Rebel Intel
3 min read · Jul 1, 2026

Advertisement

HIGH
Vulnerabilities

LLM Prompt Injection: Role Confusion Exposes Core Architectural Flaws

An in-depth analysis of LLM prompt injection, detailing how 'role confusion' in model representations undermines tag-based security and demands architectural solutions.

Runtime Rebel Intel
5 min read · Jun 25, 2026
INFO
Threat Intel

AI Agent Traps: Information as an Attack Surface for Autonomous Systems

Attackers exploit trusted data sources to deploy AI agent traps, leading to hidden content injections and cognitive state poisoning for autonomous AI systems.

Runtime Rebel Intel
5 min read · Jun 25, 2026
INFO
Threat Intel

Securing Advanced AI Models: Addressing Dual-Use Risks

Industry professionals discuss critical aspects of AI model security, focusing on dual-use capabilities, robust safeguards, and effective tiered access mechanisms.

Runtime Rebel Intel
5 min read · Jun 12, 2026
MEDIUM
Threat Intel

Anthropic Claude Mythos-Class Models: Security Implications of Public Rollout

Anthropic confirms public rollout plans for Claude Mythos-class models, addressing previous delays caused by software security risks and safety concerns.

Runtime Rebel Intel
3 min read · May 29, 2026
INFO
Threat Intel

White House Engages AI Labs on Emerging AI Security Concerns

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…

Runtime Rebel Intel
4 min read · Apr 18, 2026
AWS Bedrock AI Agent Security: Analysis of Eight Attack Vectors
HIGH
Cloud Security

AWS Bedrock AI Agent Security: Analysis of Eight Attack Vectors

Research identifies eight critical attack vectors in AWS Bedrock, focusing on risks to integrated enterprise data and automated Lambda function execution.

Runtime Rebel Intel
4 min read · Mar 23, 2026