prompt-injection
Safeguard articles tagged "prompt-injection" — guides, analysis, and best practices for software supply chain and application security.
100 articles
LLM Insecure Plugin Design Vulnerabilities
ChatGPT plugins, LangChain agents, and MCP servers have all shipped insecure plugin flaws exposing accounts and data. Here's how Safeguard defends against them.
LLM Denial of Service Attack Techniques
LLM denial of service attacks exploit sponge prompts, unbounded generation, and denial-of-wallet loops to cripple AI systems without a single exploit.
Excessive Agency in LLM-Powered Applications
Excessive agency turns a bad LLM output into an executed action. From Replit's July 2025 database deletion to Air Canada's chatbot ruling, here's what it is and how to scope it down.
Prompt Injection Attack Techniques and Defenses
Prompt injection is now OWASP's #1 LLM risk, and real incidents like EchoLeak and Slack AI prove it can mean zero-click data exfiltration. Here's how it works and what stops it.
The OWASP Top 10 for LLM Applications, Explained With Real Examples
OWASP's LLM security list has grown from a 2023 side project into a 600+ expert initiative. Here's what each of the ten risks actually looks like in production.
Threat-modeling for AI-native applications
STRIDE has six categories from 1999. OWASP's LLM Top 10 and MITRE ATLAS's ~84 techniques show why agentic AI needs new threat-modeling columns, not a new framework.
Why traditional AppSec still catches most enterprise AI agent bugs
OWASP's LLM Top 10 names new categories, but most enterprise agent breaches trace back to broken access control and unvalidated input — the classics.
A risk framework for enterprise AI coding and agent tool rollouts
Samsung banned ChatGPT company-wide after three leaks in 20 days. A working framework for data exposure, model supply chain, and access control risk.
A Reproducible Rubric for Measuring Prompt-Injection Risk in Agent Skills
OWASP has ranked prompt injection the #1 LLM risk for two straight editions, yet almost no one scores agent skill packages for it consistently. Here's a rubric.
AI agents in AppSec pipelines: triage, remediation, and guardrails
GitHub's Copilot Autofix cuts median fix time from 1.5 hours to 28 minutes — but a 2025 Replit agent incident shows why autonomy needs hard limits.
The emerging role of the AI security engineer
OWASP's 2025 LLM Top 10 ranks prompt injection #1 and calls it structurally unfixable by parameterization — a signal that AppSec skills alone no longer cover the job.
Least-Privilege Tool Scoping for AI Coding Agents
One overprivileged GitHub token let researchers hijack an AI agent into leaking private repo data via a public issue. Scoping tool access closes that gap.
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