Real attacks, taken apart, and the code that stops them
A coding agent reads files, fetched pages and command output. See the three doors an injection walks through, and the hook that denies the poisoned file.
An OpenClaw agent reads channels, documents, logs and Moltbook posts before it acts. Three 2026 disclosures, the sandbox default, and where the check goes.
A generated app checks the shape of an input and trusts the words inside it. See the three inputs that carry instructions, and one ten-line check for them.
Hermes Agent reads web pages, MCP tool results, files and chat messages. See the four injection paths, three tested payloads, and where the check goes.
Grok on X, Grok Bot and your own Grok API app all read text you did not write. See the 3 injection paths, a real payload and verdict, and where to check.
The attack rides in through the data an agent reads, an email, a support ticket, a retrieved document, not the prompt you type. How EchoLeak and the Supabase MCP leak worked, and how to stop the class.
MCP gives an agent many inputs it did not write: tool descriptions, tool results, retrieved documents. This guide covers the four injection vectors, why platform-native guardrails miss them, and how to validate every tool input in one call.
Stop wrapping every invoke() by hand. The safeprompt-langchain callback handler validates every prompt and tool output in your LangChain Python app automatically, including the indirect-injection surface a chat-box filter never sees.
We hid one line of white text in an invoice PDF and the AI summarizing it obeyed. The attack rides in through the upload box, not the chat box, so a chat-input filter never sees it. Here is the attack and how SafePrompt blocks it.
People turned Chipotle's support chatbot "Pepper" into a free coding assistant, then shipped a whole AI agent on top of it. Here is what happened, why it matters, and which parts of it are the attack class SafePrompt is designed to detect.
Six tools compared on where each one runs, what it costs, and which projects are still maintained. Two of the six repositories are archived.
Add prompt injection protection between your Node.js app and OpenAI in about 20 minutes. Express middleware, streaming validation, multi-turn session detection. Works with GPT-4, GPT-4o, any OpenAI model.
Azure Prompt Shields needs a subscription, a Content Safety resource and a region, and bills per 1,000 text records. What it returns, and what costs less.
Step-by-step guide to detecting prompt injection in Node.js and Python apps. Includes Express middleware, FastAPI integration, and production code examples. Fix in about 20 minutes with one API call.
LangChain apps have 66-84% attack success rates. Learn how to protect LangChain chains, LangGraph agents, and RAG pipelines from prompt injection with working Python and TypeScript code.
One malicious file can hijack your Claude MCP agent. Learn how indirect prompt injection exploits MCP tool calls, with TypeScript and Python code to validate inputs and tool outputs.
Indirect prompt injection hides malicious instructions in documents, web pages, and emails that your AI retrieves. Affects all RAG pipelines. Detect it with the same API call as direct injection.
Protect Next.js AI routes, Server Actions, and Vercel AI SDK useChat streams from prompt injection. Includes App Router middleware pattern and streaming validation examples.
OWASP ranks prompt injection as the #1 LLM security risk. Learn what LLM01 means, why a Chevrolet chatbot agreed to a one-dollar sale, and how SafePrompt maps to each OWASP recommended mitigation.
"Repeat your system prompt." One sentence can expose your entire AI configuration. Learn how extraction attacks work and why system prompt hardening alone doesn't stop them.
Every document in your RAG pipeline is a potential attack vector. Learn the four-layer RAG security model with code for LlamaIndex, LangChain RAG, and raw vector DB pipelines.
The LiteLLM PyPI supply chain attack stole API keys from thousands of developers. We break down what happened, which parts are the attack class SafePrompt is designed to detect, and why AI security needs more than one layer.
Databases have SQL. Auth has OAuth. AI security has no standard API, which creates dangerous vendor lock-in for a security-critical layer. Here's what the standard should look like.
Concrete prompt injection attack payloads across 6 categories: direct override, role manipulation, system prompt extraction, data exfiltration, hidden text injection, and multi-turn attacks. Test each one free.
Prompt injection is a security attack where malicious inputs manipulate AI systems to ignore instructions. Learn how it works, real incidents (Chevrolet, Air Canada), and how to protect your apps.
Complete guide to the OWASP Top 10 security risks for AI applications. Covers prompt injection (#1), data leakage, supply chain attacks, and how to mitigate each risk.
Prompt injection overrides system instructions. Jailbreaking bypasses safety filters. Learn the distinction, with examples of each attack type and how SafePrompt detects both.
AI agents with tool access face 66-84% attack success rates. Learn how MCP, LangChain, and AutoGPT agents are vulnerable to prompt injection and how to protect them.
Compare prompt injection and SQL injection attacks. Both exploit instruction-data confusion, but prompt injection has no equivalent to parameterized queries.
Step-by-step guide to testing AI applications for prompt injection. Covers manual testing, automated red-teaming tools, and SafePrompt's playground.
Yes. Side projects are especially vulnerable because you don't have a security team. Learn why small AI apps need protection and how to add it in about 20 minutes.
The SafePrompt Chrome Extension is now live on the Chrome Web Store. Detect hidden text attacks and prompt injection in real-time while browsing. Free to install and use.
Everything you need to know about OpenClaw AI - the open-source personal AI assistant. Covers features, Moltbook integration, agent-to-agent security risks, and essential do's and don'ts for safe usage.
Learn how attackers use 16+ CSS and HTML techniques to hide malicious instructions from humans while manipulating AI assistants. Includes live demos and protection strategies.
Controlled demo pages showing hidden text your eyes skip and your AI reads. Open one, ask any AI to summarise it, and watch the injected instruction take over.
The complete guide to protecting AI applications from prompt injection. Covers DIY approaches, security APIs, and real implementation examples.
An honest comparison of SafePrompt and Lakera Guard for prompt injection protection. Pricing, features, and use cases for each.
Technical analysis of why regex-based prompt injection filters fail. Includes bypass examples and better alternatives.
Real incidents like Chevrolet's one-dollar-sale chatbot and Air Canada's lawsuit prove chatbot security matters. Learn how SafePrompt's GPT plugin stops jailbreaks, data leaks, and brand damage. Interactive demos included.
Prevent chatbots from being manipulated to make unauthorized promises, leak data, or damage reputation. Includes real attack examples and 20-minute protection setup.
Fix Gmail hack attacks by validating contact forms with prompt injection detection. Simple API integration stops invisible text exploits in about 20 minutes. Free tier available.