Scan AI Prompts for
Security Threats
Detect malicious instructions, jailbreak attempts, social engineering, and data extraction payloads before they execute against your LLM. Built for AI product teams, security engineers, and compliance officers.
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Paste prompt to scan for threats
Prompt threats we detect
Every major attack vector from the OWASP LLM Top 10 and MITRE ATLAS framework.
Jailbreak Attempts
DAN (Do Anything Now), STAN, and other role-play jailbreaks designed to bypass LLM safety guardrails and content policies.
Prompt Injection
Malicious instructions embedded in user input designed to override system prompts and hijack AI behavior.
Social Engineering
Psychological manipulation techniques that trick AI systems into ignoring instructions or revealing restricted information.
Data Extraction
Prompts designed to exfiltrate system prompts, training data, user data, or confidential business information.
Role-Play Manipulation
Instructions that reframe the AI as a different persona without safety restrictions — a common jailbreak vector.
Instruction Override
Phrases like ignore all previous instructions that attempt to nullify system-level safety controls.
How prompt scanning works
Intercept user input
Before any user-submitted text reaches your LLM, route it through Sekurely. Paste prompts manually or integrate via API for automated scanning.
Multi-pattern analysis
Our engine runs the prompt against known jailbreak signatures, injection patterns, and semantic analysis for social engineering and instruction override attempts.
Block or flag
Get a risk grade and threat breakdown in milliseconds. Block high-risk prompts automatically or flag them for human review — your choice.
Frequently asked questions
What is a malicious AI prompt?+
A malicious AI prompt is any user input designed to manipulate an LLM into behaving outside its intended parameters — bypassing safety guardrails, revealing system prompts, exfiltrating data, or producing harmful content. Common attack types include jailbreaks (DAN, STAN), prompt injection, and social engineering techniques that exploit the LLM's instruction-following behavior.
What is the OWASP LLM Top 10?+
The OWASP LLM Top 10 is a security framework published by the Open Web Application Security Project listing the most critical security risks in Large Language Model applications. LLM01 (Prompt Injection) and LLM02 (Insecure Output Handling) are the top two risks — both directly addressed by Sekurely's prompt scanning capabilities.
How does prompt scanning protect my AI application?+
Prompt scanning acts as a security layer between user input and your LLM. Before any user-submitted text reaches your model, Sekurely scans it for known attack patterns — jailbreaks, injection attempts, data extraction payloads — and flags or blocks malicious content. This is essential for any customer-facing AI application.
Can prompt scanning catch zero-day jailbreaks?+
Pattern-based scanning catches known attack signatures with high accuracy. For novel or zero-day jailbreaks, Sekurely uses semantic analysis to detect suspicious instruction patterns even when the exact wording is new. No scanner catches 100% of attacks — defense in depth with multiple layers is the industry-standard approach.
Is prompt scanning required for EU AI Act compliance?+
Yes. The EU AI Act (effective 2026) requires providers of high-risk AI systems to implement robustness and security measures — including protection against adversarial inputs like prompt injection. Sekurely maps prompt scanning findings to EU AI Act Article 15 requirements for accuracy and robustness.
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