Indirect prompt injection
Malicious text in documents, emails or sites that your AI reads and obeys.
Prompt injection hides instructions inside emails, PDFs and web pages. Firewalls can't see it. We test your AI systems for it, and fix what we find.
Hidden instructions travel inside normal business content, so the first line of defense is testing how your AI actually behaves.
Malicious text in documents, emails or sites that your AI reads and obeys.
Assistants tricked into exposing customer records, prompts or internal files.
AI agents manipulated into sending emails, changing records or spending money.
No logs or evals, so nobody knows when the AI misbehaves.
Map what your AI can read, access and do.
Direct and indirect attacks against chatbots, agents and RAG pipelines.
Find hidden instructions in uploaded files before they reach the model.
Permissions, input screening, human checkpoints and safe tool design.
Logging and alerts to catch abuse after launch.
Combine with our AI-readiness refactor to fix root causes.
Prompt injection is an attack where malicious instructions, typed directly or hidden in documents, emails or web pages, trick an AI system into ignoring its rules, leaking data or taking unwanted actions. It is ranked LLM01 in the OWASP Top 10 for LLM applications.
Yes. Any business whose chatbot or AI assistant reads outside content or can take actions is exposed, and automated attacks do not check company size.
Chatbots, AI agents, document-processing pipelines and any LLM feature connected to your data, tools or customers, including direct and indirect prompt injection, data leakage and tool abuse.
A prioritized report with clear findings, proof of how each issue was reproduced and practical fixes. We can also implement the fixes and add monitoring.
Tell us about your project and get a clear plan, timeline and price.