You're building an app with AI features. Attackers know.
Every LLM you integrate is a new attack surface. Securie specializes in AI-feature security.
This is for you if…
- Building a product with LLM, agent, or RAG features
- Using OpenAI, Anthropic, Gemini, or a self-hosted model
- Worried about prompt injection but don't know how to test for it
- Worried about bill-shock but don't know how to rate-limit
The moments you feel this
You see a thread showing how a competitor's support chatbot leaked customer data via a crafted email. You wonder if your bot would do the same.
You check your spend daily. You know one leaked key could cost you five figures overnight.
Your agent has tool access. You're not sure if there's anything stopping it from emailing the wrong user, or running destructive operations.
What Securie does for you
Tests your AI features against prompt-injection attacks
A library of attack patterns (MITRE ATLAS + public exploit writeups) runs against your agent in a sandbox. We find the ones that succeed.
Caps your API spend automatically
Leaked keys get flagged and optionally auto-rotated. Per-user rate limits get applied. No more bill-shock.
Scopes your agent's tools correctly
Destructive tools (delete, refund, email) don't get invoked from untrusted content. Enforced at code-review time.
Publishes your AI Bill of Materials
EU AI Act compliance from day one — every model you use is documented for auditors and customers.
What you don't need to know
- — The exact syntax of every prompt-injection attack
- — How to write a model card
- — What the EU AI Act requires
What you actually do
- Install on GitHub
- Describe your AI features when we ask
- Review the specific attack patterns we test
“AI-feature security is the single highest-growth risk category in 2026. Securie is purpose-built for it.”
But wait…
Isn't Lakera / Pillar / etc. enough?
Those tools filter LLM input/output at runtime. Securie prevents the bugs that make filtering necessary — scope tools correctly, verify signatures, eliminate the dangerous capabilities at the code level. Use both if you can.