The security layer between your AI and your users.
Point your app at Defaince instead of your model. Every request is checked before it reaches the model, every answer before it reaches your users — attacks are stopped, sensitive data stays in.
One layer in the middle. Nothing else changes.
Today your app talks straight to the model. With Defaince, it talks to us — and we talk to the model. Your model, your code and your users' experience stay the same.
DefainceChecks what goes in and what comes outConnect
Send your model traffic through Defaince instead of directly to the model. A few lines of configuration — no retraining, no rebuild.
- Works with your own or third-party models
- Any model you call through an API
- Built for high-traffic apps
Check what goes in
Every request is inspected before it reaches your model. Manipulated inputs are blocked or cleaned in real time.
- Prompt injection & jailbreaks
- Adversarial inputs that fool the model
- Bulk querying to copy your model
Check what comes out
Every answer is inspected before it reaches your users. Sensitive data and model secrets stay where they belong.
- Personal or confidential data leaks
- Training data exposed through answers
- Every decision logged for compliance
Most AI security stops at the prompt. Attacks don't.
Chatbots get tricked with words. Fraud models, vision systems and forecasts get tricked with numbers and pixels. Defaince sits in front of all of them — and keeps learning new attacks, including zero-days.
Inputs built to fool it
Copying what you built
Answers that say too much
Built for developers. Ready for the enterprise.
Security your team doesn't have to become experts in.
Explore the platform →No retraining
Protection is added around your model, not inside it. Keep shipping on the stack you already have.
Largest adversarial library
Our threat classification grows with every new attack method and is updated continuously from threat intelligence.
Any model, any provider
Your own models or third-party ones — LLMs, vision, scoring, forecasting — protected the same way.
Scales with your traffic
Built for high-traffic AI applications, without interruptions for your users.
Compliance built in
Every check maps to OWASP Top 10 for LLMs, MITRE ATLAS, NIST and the EU AI Act — with logs to prove it.
Enterprise-grade security
Encryption at rest, TLS in transit, user authentication and role-based access control.
Start-ups. Scale-ups. Enterprises.
I have to secure my AI solution without compromising on integrity and performance.
Our teams use third-party foundation models without much oversight.
We want to prevent accidental or malicious data-rights infringements.
Co-founded by Endre Abraham (Silur), named to Forbes 30 Under 30 — Hungary.
Speaking on AI model security, robustness and privacy-preserving AI across Europe.
News & press →EU Cyber-Act: AI Cyber Day
Brussels — AI model robustness, secure AI governance, AI encryption, AI penetration testing.
Forbes Tech Summit
Budapest — adversarial attacks, AI defense, trustworthy AI, AI threat intelligence.
Bosch Digitalization Day
Budapest — generative AI, privacy-preserving AI, AI risk assessment, bias mitigation.
Put Defaince between your AI and the world.
Get early API access and be among the first to protect your models in production.