Detect & Block
Prompt Injection Attacks
Prompt injection is the #1 LLM security risk. Detect direct injection, indirect injection, DAN jailbreaks, and system prompt extraction before they compromise your AI application.
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Paste prompt to detect injection attacks
Injection attack vectors we detect
Every major prompt injection technique from OWASP LLM01 and MITRE ATLAS.
Direct Prompt Injection
User input that directly overrides system instructions — the most common LLM attack vector. Ranked #1 in the OWASP LLM Top 10.
Indirect Prompt Injection
Malicious instructions embedded in external content — web pages, documents, emails — that the LLM retrieves and executes as trusted instructions.
DAN & Jailbreak Attacks
Do Anything Now and similar persona-switching attacks that attempt to convince the LLM it has no safety restrictions or content policies.
System Prompt Extraction
Carefully crafted prompts designed to reveal confidential system prompts, business logic, and proprietary instructions hidden in the context.
Data Exfiltration via Injection
Injection payloads that instruct the LLM to send conversation history, user data, or system information to attacker-controlled endpoints.
Context Window Manipulation
Attacks that flood or manipulate the LLM context window to push out system instructions and replace them with attacker-controlled directives.
Frequently asked questions
What is prompt injection?+
Prompt injection is a cyberattack against LLMs where an attacker embeds malicious instructions in user input to override the system prompt and hijack AI behavior. It is ranked OWASP LLM01 — the top security risk for LLM applications.
What is the difference between direct and indirect prompt injection?+
Direct injection occurs when a user inputs malicious instructions directly. Indirect injection is more dangerous — malicious instructions are hidden in external content the LLM retrieves, such as a webpage or document.
How does Sekurely detect prompt injection attacks?+
Sekurely uses pattern matching for known injection signatures combined with semantic analysis for instruction override attempts and data exfiltration payloads.
Is prompt injection a compliance risk under the EU AI Act?+
Yes. The EU AI Act Article 15 requires high-risk AI systems to be robust against adversarial inputs including prompt injection.
Can I use this scanner in my RAG pipeline?+
Yes. RAG pipelines are particularly vulnerable to indirect prompt injection. Scanning all retrieved content before it enters the LLM context is a fundamental RAG security control.
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