llm-security
Safeguard articles tagged "llm-security" — guides, analysis, and best practices for software supply chain and application security.
120 articles
Jailbreaking AI: How LLM Jailbreaks Work and How to Defend Against Them
Jailbreaking AI means getting a model to bypass its own safety guardrails. This guide explains how jailbreaks work conceptually, how they differ from prompt injection, and how to build layered defenses.
AI Data Security Solutions: What Actually Protects Your Data?
AI data security solutions cover the tools and controls that protect the data flowing into, through, and out of AI systems. Here is what the category really includes and how to evaluate it.
State of AI Security in Enterprise 2026
Where enterprise AI security actually stands in 2026: model supply chain risks, agent threats, governance gaps, and the controls that measurably reduce exposure.
What is AI Security
AI security protects models, training data, and agentic systems from prompt injection, poisoning, and unsafe autonomy — here's what it covers and how to build a program.
What is LLM Security
LLM security protects model weights, prompts, outputs, and the AI supply chain from injection, leakage, and compromise—here's what it covers and how to defend it.
What is Prompt Injection
Prompt injection is OWASP's #1 LLM risk. Learn how it works, real CVEs like EchoLeak, and how to detect and defend against it.
Secure Patterns for LLM Output Handling in 2026
LLM02 on the OWASP LLM Top 10 keeps quietly producing incidents because downstream systems trust model outputs they should not. Concrete patterns that hold up.
Direct vs Indirect Prompt Injection
Direct and indirect prompt injection are different attack vectors with different blast radii. Real 2025 CVEs like EchoLeak show why the distinction matters.
What is LLM Jailbreaking
LLM jailbreaking bypasses AI safety guardrails through techniques like DAN prompts, Crescendo, and Skeleton Key — here's how it works and how to defend against it.
What is AI Model Supply Chain Security
Model weights are executable artifacts, not data. Here's how AI model supply chain attacks work, from pickle exploits to weight tampering, and how to stop them.
What is AI Agent Security
AI agent security explained: how autonomous AI agents get attacked through prompt injection, tool poisoning, and exposed MCP servers, and how to stop it.
Risks of AI-Generated Code
AI coding assistants now write nearly half of some codebases—and research shows 45% of that code ships with exploitable flaws. Here's what security teams need to know.
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