AI Security Research Portal
claimactiveClaims

Prompt Injection Defenses Depend On Deployment Context

Claim

Prompt injection defenses are context-dependent; defenses should be evaluated against tool-integrated, RAG, browser, coding, and multi-agent settings rather than only static prompts.

Supporting Evidence

This claim is supported as a recurring pattern across the batch-ingested source catalogs. It should be refined with source-specific evidence before being treated as stable.

TitleKindDateTagsRaw
InkJect: The Visual Prompt Injection That Text Defenses Were Never Built to Stopindustry_blog2026-07-01ai-security, indirect-prompt-injection, multimodal-agent, visual-prompt-injection, vlmraw
Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injectiopaper2026-06-25Jane Yi Jiang, Jiannan Xu, Preet Baxi, Stefanus Jasin, decision-integrity, hiring-workflowraw
macOS.Gaslight - Rust Backdoor Turns Prompt Injection on the Analyst, Not the Sandboxindustry_blog2026-06-23ai-security, dprk, macos, malware-analysis, prompt-injectionraw
Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shiftpaper2026-06-22ai-security, detector-calibration, evaluation, prompt-injection, robustnessraw
A Layered Security Framework Against Prompt Injection in RAG-Based Chatbotspaper2026-06-18ai-security, chatbot-security, defense, prompt-injection, ragraw
Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMspaper2026-06-12ai-security, context-poisoning, mcp, multi-agent-control, prompt-injection, rollbackraw
The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Contextpaper2026-06-08ai-security, context-injection, prompt-injection, rag, recommendationraw
What If Prompt Injection Never Left? Exploring Cross-Session Stored Prompt Injection in Agentic Systpaper2026-06-03Liya Su, Suchen Liu, Tianyun Liu, Tingwen Liu, Yingjie Zhang, Yuanbo Xieraw
AI Agents May Always Fall for Prompt Injectionspaper2026-05-17contextual-integrity, defense-limitations, information-flow, prompt-injection, security-for-airaw
Defending LLM Agents Against Context-Aware Prompt Injectionpaper2026-05-05agents, ai-security, context-aware-attacks, defenses, prompt-injectionraw

Conflicting Evidence

Current Confidence

Medium. The pattern recurs across papers, standards, and news, but exact strength depends on source-specific validation.

Related