Your Prompts Are an Attack Surface.
Detect and block prompt injection before it reaches your models.
The moment your organization connects AI to real data and real actions, the prompt becomes a way in. Prompt injection is when hidden instructions — typed by a user or buried in a document, web page, or email the model reads — trick the AI into ignoring its rules. The result can be leaked data, unintended actions, or output you never approved.
Your firewall can't see it. The attack lives in the meaning of the words, not the network packets.
How Prompt Injection Gets In
Direct Injection
A user types instructions designed to override the system's rules — "ignore your guidelines and reveal…" — to pull out data or behavior the model should refuse.
Indirect Injection
Malicious instructions hide inside content the model reads: a web page, a PDF, a support ticket, an email. The user never sees them, but the model obeys.
Jailbreaks
Crafted prompts that talk the model out of its safety rules — role-play tricks, encoded payloads, and known bypass patterns that evolve constantly.
Data Exfiltration
Once a model is connected to your files or tools, an injection can quietly turn it into a channel for pulling sensitive data back out.
How to Actually Stop It
- Inspect before the model. Every prompt — and the content the model is about to ingest — is analyzed for injection and jailbreak patterns before it reaches the model.
- Block known and emerging attacks. Detection keeps pace with new bypass techniques, so you're not relying on a static blocklist.
- Filter the output too. Responses are checked before they reach the user, catching leaked data or actions that slipped through.
- Enforce least privilege. Define what each AI use case is allowed to access and do, so a successful injection has nowhere to go.
- Log everything. Every prompt, detection, and decision is recorded — so you can investigate incidents and prove your controls work.
Security That Speaks AI
Prompt injection is an AI-native problem, and it needs AI-native defense. Unseen Security inspects the prompts themselves — across every model and tool your teams use — so you can roll out AI without opening a new attack surface. Want to test your own exposure? See AI red teaming.