Prompt Injection
12 articles about "Prompt Injection".
From 6 to 21: The Crypto AI Agent Incident Tracker Goes Live ($52M of Documented Loss)
The 6 incidents from last week's analysis, expanded to 21 today. $52M total documented loss. Structured data, open-source repo, public page. Built in-flight.
Six Crypto AI Agent Heists: What Static Prompt Analysis Catches, What It Doesn't
An honest root-cause analysis of six prompt-injection incidents that drained crypto AI agents — and a measured assessment of what prompt-defense-audit can and cannot catch.
We Audited 7 Official MCP Servers — 6 Got F
Ran prompt-defense-audit against the 7 official servers in modelcontextprotocol/servers — 12-vector check, OWASP LLM Top 10 mapping. Result: 6 servers scored F, 8 defense vectors at 100% gap rate. Cross-referenced from modelcontextprotocol/servers#3537.
OWASP Agentic Top 10 — What Every AI Developer Needs to Know in 2026
OWASP released its Top 10 security risks for AI agent applications in 2026. We break down each risk with real data from scanning 1,646 production system prompts.
One Line to Block 92% of Prompt Injection Attacks
Our Discord AI assistant gets attacked daily. After scanning 1,646 real AI systems, we built a one-liner defense tool.
We Built Lighthouse for AI Agents — One Command, 12-Vector Security Audit
66% of MCP servers have security findings, but nobody runs a security scan before deploying AI agents. We built ultraprobe — zero deps, zero cost, under 1 second. Adopted by Cisco AI Defense.
12 Submissions, 0 Merges: What I Learned Contributing to Open Source AI Security
We submitted contributions to NVIDIA, Cisco, Microsoft, OWASP, and 8 other open source projects. All rejected or ignored. Here's how we went from 0/12 to our first merge.
We Scanned 1,646 Real AI System Prompts. Here's What We Found.
We ran our prompt defense scanner against 1,646 leaked production system prompts from ChatGPT, Claude, Grok, Cursor, Perplexity, and 1,300+ custom GPTs. 97.8% have no indirect injection defense. Average score: 36/100.
Prompt Injection Isn't Your Biggest Risk: We Scanned 500 AI Apps and Found 11 Undefended Attack Vectors
Everyone talks about Prompt Injection, but it's just 1 of 12 LLM attack vectors. We scanned 500+ AI system prompts with UltraProbe and found 83% only defend against the most obvious one. Here are the other 11 you're ignoring.
We Open-Sourced Our Prompt Defense Scanner: 200 Lines of Regex That Replace an LLM
Most AI security tools use LLMs to check LLMs. We built a deterministic prompt defense scanner — 12 attack vectors, pure regex, under 1ms, zero cost. Here's why regex beats AI for this job, and how you can use it today.
How We Defend AI Against Comment Attacks: 5-Layer Prompt Defense in Production
When your AI auto-replies to hundreds of comments daily, Prompt Injection isn't theoretical — it's happening every day. This is the 5-layer defense architecture we validated across 27 accounts.
UltraProbe Is Live — The World's First Free AI Security Scanner That Finds Your LLM Vulnerabilities in 5 Seconds
90% of AI systems are vulnerable to Prompt Injection, yet most developers have no idea. Ultra Lab launches the completely free UltraProbe, covering the OWASP LLM Top 10 attack vectors — making AI security testing accessible to everyone, not just enterprises.