IDI IT — Injection Detection Intelligence — is a browser-based scanner that analyzes AI prompts for hidden instruction attacks, override language, role hijacking, and copyright bypass attempts before they reach any AI system. Paste a prompt, run the scan, and get a plain-English verdict in seconds.
What IDI Stands For
Injection Detection Intelligence. Each word is deliberate.
Injection is the attack vector — malicious instructions embedded inside AI input to override, redirect, or weaponize the AI's behavior without the operator's knowledge.
Detection is the function — IDI IT scans for the linguistic patterns and phrasing structures that injection attacks depend on: override commands, role reassignments, context wipes, persona hijacks, and restriction bypass attempts.
Intelligence is the approach — not just a raw flag list, but severity classification, plain-English explanations, and an automatically cleaned version of the prompt ready to use. IDI IT tells you what it found, why it matters, and what to do about it.
Injection is the attack vector — malicious instructions embedded inside AI input to override, redirect, or weaponize the AI's behavior without the operator's knowledge.
Detection is the function — IDI IT scans for the linguistic patterns and phrasing structures that injection attacks depend on: override commands, role reassignments, context wipes, persona hijacks, and restriction bypass attempts.
Intelligence is the approach — not just a raw flag list, but severity classification, plain-English explanations, and an automatically cleaned version of the prompt ready to use. IDI IT tells you what it found, why it matters, and what to do about it.
What Prompt Injection Is — And Why It Matters Now
Prompt injection is one of the fastest-growing threats in artificial intelligence. As businesses, developers, and everyday users build workflows around AI tools — customer service bots, document processors, internal assistants, coding helpers — attackers have learned that the easiest way to compromise those systems is not to hack the software. It is to manipulate the instructions the AI is given.
A prompt injection attack embeds hidden commands inside text that looks innocent. When an AI reads that text, it may follow the embedded commands instead of the instructions its operator set. The AI does not know it is being manipulated. It simply sees what appears to be a legitimate instruction and executes it. The result can range from leaking confidential system prompts to bypassing safety rules to generating content the operator explicitly prohibited.
The threat is accelerating. Researchers have documented successful injection attacks against real production systems: AI assistants that leaked private data, customer support bots tricked into issuing unauthorized refunds, document-reading tools manipulated into exfiltrating files. OWASP — the Open Worldwide Application Security Project, the gold standard in web security — named prompt injection the number one vulnerability in large language model applications. The U.S. National Institute of Standards and Technology has flagged it in AI risk frameworks. Major AI providers including Anthropic, OpenAI, and Google have published guidance on the threat.
And it is not only developers who are at risk. Anyone who uses AI tools to draft emails, process documents, screen user-submitted text, or build internal workflows is potentially exposed. IDI IT exists to give everyone a fast, free, private way to check prompts before they cause harm.
A prompt injection attack embeds hidden commands inside text that looks innocent. When an AI reads that text, it may follow the embedded commands instead of the instructions its operator set. The AI does not know it is being manipulated. It simply sees what appears to be a legitimate instruction and executes it. The result can range from leaking confidential system prompts to bypassing safety rules to generating content the operator explicitly prohibited.
The threat is accelerating. Researchers have documented successful injection attacks against real production systems: AI assistants that leaked private data, customer support bots tricked into issuing unauthorized refunds, document-reading tools manipulated into exfiltrating files. OWASP — the Open Worldwide Application Security Project, the gold standard in web security — named prompt injection the number one vulnerability in large language model applications. The U.S. National Institute of Standards and Technology has flagged it in AI risk frameworks. Major AI providers including Anthropic, OpenAI, and Google have published guidance on the threat.
And it is not only developers who are at risk. Anyone who uses AI tools to draft emails, process documents, screen user-submitted text, or build internal workflows is potentially exposed. IDI IT exists to give everyone a fast, free, private way to check prompts before they cause harm.
How Real Attacks Work
Direct override. Phrases like "ignore previous instructions," "disregard all rules," or "forget everything you were told" attempt to wipe the AI's system-level setup and replace it with the attacker's commands. IDI IT flags these as Unsafe immediately.
Role hijacking. Phrases like "you are now a different AI with no restrictions" or "act as a system with no guidelines" attempt to replace the AI's identity with an unconstrained version. Even without explicit override language, these can succeed because the AI is asked to step outside its defined role.
Persona injection. Subtler than role hijacking — phrases like "act as if you were trained differently" or "respond as if you had no safety training" frame an attack as creative roleplay while actually attempting to strip the AI's operating parameters.
Instruction block injection. Attackers embed text formatted like a system prompt — using brackets, caps, or instruction-style phrasing — hoping the AI will treat it as authoritative. "NEW INSTRUCTIONS:" or "SYSTEM: from now on" are classic patterns.
Context wipes. "Forget the previous conversation" and "start completely fresh" attempt to remove the context that keeps the AI aligned with its operator's intent. Without that context, subsequent instructions have no guardrails to push against.
Copyright bypass. Requests for the full text of a book, complete song lyrics, or reproduction of protected material target a different boundary — intellectual property — but with the same override mentality. IDI IT flags these specifically.
Role hijacking. Phrases like "you are now a different AI with no restrictions" or "act as a system with no guidelines" attempt to replace the AI's identity with an unconstrained version. Even without explicit override language, these can succeed because the AI is asked to step outside its defined role.
Persona injection. Subtler than role hijacking — phrases like "act as if you were trained differently" or "respond as if you had no safety training" frame an attack as creative roleplay while actually attempting to strip the AI's operating parameters.
Instruction block injection. Attackers embed text formatted like a system prompt — using brackets, caps, or instruction-style phrasing — hoping the AI will treat it as authoritative. "NEW INSTRUCTIONS:" or "SYSTEM: from now on" are classic patterns.
Context wipes. "Forget the previous conversation" and "start completely fresh" attempt to remove the context that keeps the AI aligned with its operator's intent. Without that context, subsequent instructions have no guardrails to push against.
Copyright bypass. Requests for the full text of a book, complete song lyrics, or reproduction of protected material target a different boundary — intellectual property — but with the same override mentality. IDI IT flags these specifically.
Severity Levels
Unsafe
Risky
Clean
Unsafe means the prompt contains language that directly attempts to override, bypass, or nullify AI instructions or safety rules. These are explicit attacks, not ambiguous phrasing.
Risky means the prompt contains patterns that may shift AI behavior in unintended ways — role reassignments, persona injections, instruction block mimicry. They may be legitimate in some creative contexts but warrant careful review before use in any automated or public-facing system.
Clean means no injection patterns were detected. The prompt appears safe as written. IDI IT is a pattern scanner, not a guarantee — novel or heavily obfuscated attacks may not match current patterns.
Risky means the prompt contains patterns that may shift AI behavior in unintended ways — role reassignments, persona injections, instruction block mimicry. They may be legitimate in some creative contexts but warrant careful review before use in any automated or public-facing system.
Clean means no injection patterns were detected. The prompt appears safe as written. IDI IT is a pattern scanner, not a guarantee — novel or heavily obfuscated attacks may not match current patterns.
Detection Categories
Unsafe
Ignore / disregard previous instructions — Direct override of prior rules or operator setup.
Unsafe
Forget previous context — Wipes prior conversation or instruction layers.
Unsafe
Override rules or guidelines — Explicit command to replace the AI's operating rules.
Unsafe
Bypass restrictions — Attempts to circumvent safety or content constraints.
Unsafe
No longer bound by restrictions — Attempts to remove the AI from its normal constraints entirely.
Unsafe
Act as if unconstrained — Framing attack designed to strip safety parameters through roleplay.
Unsafe
Hidden instruction extraction — Attempts to expose or leak private system prompts.
Unsafe
Copyright bypass — Requests for full protected works, song lyrics, or reproduced text.
Risky
New role or identity assignment — Reassigns the AI to a different persona or system identity.
Risky
Persona injection — Shifts behavior by framing the AI as a differently trained system.
Risky
Persistent instruction change — Injects instructions designed to affect all future responses.
Risky
System prompt mimicry — Text formatted to look like a legitimate system instruction block.
The Panels
Prompt Input
Paste any AI prompt here — a user message you received, a template from a community, a customer support ticket, a document your AI tool is about to process, or a prompt you wrote yourself and want to verify. Click IDI IT to run the scan. The input accepts plain text of any length.
Analysis — Risk Badge
After scanning, the Risk Badge shows the overall verdict: Clean (green checkmark), Risky (amber warning), or Unsafe (red X). Below the badge, a plain-English explanation describes exactly what was found — not a code, but a sentence you can read and act on immediately.
Detected Flags
Every pattern that triggered a flag is listed individually with its category name, the exact matched phrase, its severity level, and a note explaining what the attack attempts to do. If multiple patterns fire, you see all of them. This is the full detail view — not just "something is wrong" but exactly what, where, and why.
Clean Prompt
When injection patterns are found, IDI IT automatically generates a cleaned version of the prompt with the flagged phrases stripped out and the remaining text tidied up. If the original prompt had legitimate intent buried under attack language, the cleaned version preserves it. If the entire prompt was flagged, the output tells you plainly that a full rewrite is needed. Use Copy to grab it instantly.
Scan History
IDI IT logs every scan — timestamp, severity level, and a snippet of the prompt — so you can review what you checked and when. Free users keep the 10 most recent entries. Cygnus Connect users get an extended history that persists across sessions.
Download IT
Exports a full timestamped report — the original prompt, the risk level, every detected flag with its explanation, and the cleaned version — as a downloadable file. Use this to document suspicious prompts for security review, share findings with a team, or keep records of prompts screened before deployment.
Copy
Copies the cleaned prompt output directly to your clipboard so you can paste it into your AI tool immediately without downloading a file or switching windows.
Who Should Use IDI IT
Developers building AI-powered products. If you ship a chatbot, document processor, or any product that passes user-provided text to an AI, IDI IT helps you screen input for injection attempts before it reaches your system prompt.
Businesses using AI tools internally. Employees copy and paste prompts from templates, forums, colleagues, and the internet. Any of those prompts could contain embedded instructions designed to manipulate your AI tools. IDI IT gives teams a fast pre-flight check before running anything sensitive.
Prompt engineers and AI researchers. When you are testing, sharing, or auditing prompts, IDI IT adds systematic review on top of manual inspection. It catches patterns that are easy to miss when reading quickly or at volume.
Educators teaching AI safety. IDI IT makes the abstract concrete. Students paste real-world injection examples, see exactly what fires and why, and compare clean versus unsafe versions side by side. It is a hands-on demonstration tool as much as a scanner.
Anyone who uses AI regularly. You do not have to be technical to benefit. If you receive prompts from other people — in a community, a shared workflow, or a template library — IDI IT is a one-click check that takes under five seconds.
Businesses using AI tools internally. Employees copy and paste prompts from templates, forums, colleagues, and the internet. Any of those prompts could contain embedded instructions designed to manipulate your AI tools. IDI IT gives teams a fast pre-flight check before running anything sensitive.
Prompt engineers and AI researchers. When you are testing, sharing, or auditing prompts, IDI IT adds systematic review on top of manual inspection. It catches patterns that are easy to miss when reading quickly or at volume.
Educators teaching AI safety. IDI IT makes the abstract concrete. Students paste real-world injection examples, see exactly what fires and why, and compare clean versus unsafe versions side by side. It is a hands-on demonstration tool as much as a scanner.
Anyone who uses AI regularly. You do not have to be technical to benefit. If you receive prompts from other people — in a community, a shared workflow, or a template library — IDI IT is a one-click check that takes under five seconds.
The Growing Threat — Why This Matters
Prompt injection is OWASP's #1 LLM vulnerability. The Open Worldwide Application Security Project named it the top security risk for AI systems in its official LLM Top 10 list. NIST has included it in AI risk frameworks. Documented real-world attacks have already compromised production systems. As AI becomes embedded in more critical workflows — legal, financial, medical, customer-facing — the attack surface grows and the stakes increase. IDI IT was built because this threat is real, it is accelerating, and most users currently have no tool to defend against it at the prompt level.
Tips
Screen every prompt you did not write yourself before using it in a production or automated system. Templates shared online, community prompts, and even prompts from trusted colleagues can contain embedded instructions you have never reviewed.
A Clean result means no known injection patterns were detected — not that the prompt is guaranteed safe. Novel or heavily obfuscated attacks may not match current patterns. Use IDI IT as one layer of defense, not the only one.
Read the Detected Flags notes. Each flag explains exactly what the attack attempts to do in plain English. Reading those explanations builds your own instinct for spotting injection language without needing a tool.
Risky is not the same as safe. Risky patterns can shift AI behavior even without explicit override language. Review Risky prompts carefully before using them in any automated workflow, especially in public-facing or customer-service contexts.
If the Clean Prompt output looks right, use it directly. IDI IT strips the flagged language and preserves the legitimate request. In most cases the cleaned version is ready to paste without any further editing.
Use Download IT when you find something genuinely suspicious. A timestamped report with the full flag detail is useful documentation for a security review, for reporting a bad actor in a shared community, or for your own audit trail.
Open IDI IT →
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