Glossary
Prompt Injection
An attack against an AI system that embeds malicious instructions within input data, such as a document, webpage, or user message, to manipulate the model into ignoring its original instructions or taking unintended actions. It is considered one of the most significant security risks for LLM-based applications and agents, because it exploits the model's inability to reliably distinguish trusted instructions from untrusted data.
Recent coverage mentioning Prompt Injection
LLM API Vulnerability: Stealing AI Reasoning Traces
A critical architectural flaw in proprietary LLM APIs enables extraction of AI reasoning traces, PII, and credentials, also allowing invisible prompt injections.
Offensive Security Investments Surge as AI Threats Increase
Enterprises increase offensive security spending as AI-driven attacks accelerate, shifting toward continuous testing and autonomous agents.
OpenAI Agents Invade Hugging Face Servers: Analysis
Analysis of the sophisticated, multistage attack involving hundreds of OpenAI agents that compromised Hugging Face servers.
Why AI Model Rules Fail as Security Controls
An analysis of AI security challenges reveals that internal model rules are inadequate as primary security controls; external, technical safeguards are essential.
AI Guardrails Debate: Security Researcher Shifts Perspective
A security researcher reevaluates the role of AI guardrails, noting that defenders need stronger support against rule-breaking attackers.
AI Agents Install Untrusted Code: New Supply Chain Risk Identified
AI coding agents are installing untrusted code on corporate networks via llms.txt files pointing to abandoned domains, creating a supply chain risk.
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