Public attack datasets
Hundreds of real prompt injections collected by others: the deepset prompt-injections dataset and Lakera's Gandalf dataset, gathered from people trying to trick an AI into giving up a password.
Every message to a DataSpeak assistant passes a security check first. It stops attempts to manipulate the assistant, and harmful or dangerous requests, before they reach your AI. We test it against public attack datasets and our own trick questions, and publish the results.
Measured in October 2026 on the DataSpeak evaluation platform.
A security check is only as good as the attacks it is tested against. That is why we use attacks we did not write ourselves.
Hundreds of real prompt injections collected by others: the deepset prompt-injections dataset and Lakera's Gandalf dataset, gathered from people trying to trick an AI into giving up a password.
Attacks written for customer service in Dutch and English: hidden instructions, letters spaced out to hide words, fake managers promising discounts, and attacks spread over several messages.
220 normal messages that must get through, including ones that sound suspicious, like "ignore my earlier email" or a pasted letter. A check that blocks your customers is not secure, it is broken.
All test sets run on our evaluation platform. Every change to the check is measured on all of them before it goes live.
Customers can ask anything. Attempts to misuse your assistant are stopped, and the assistant answers with a polite refusal.
Attempts to get the assistant to reveal its instructions, prompts or configuration.
"Ignore all previous instructions" and every variation on it, including ones hidden in pasted text or spread over several messages.
Making the assistant play a politician or another company, give political opinions, make jokes about groups of people, or spread untrue claims in your name.
Fake agreements with a manager or a "confirmed" discount the assistant must repeat. The assistant never commits to deals that were not made.
Code injection, database queries, system commands and encoded instructions meant to slip past filters.
Requests for harmful, illegal or dangerous content, and attempts to extract other customers' data.
Security vendors publish their scores on Lakera's PINT benchmark. It measures both: catching attacks and letting normal messages through.
DataSpeak: attacks blocked on our test sets. Other products: published PINT benchmark scores (May–August 2025). PINT uses a non-public dataset, so these are different tests and not a head-to-head comparison.
Your data stays secure and private with our EU-based infrastructure and strict privacy measures.

DataSpeak is ISO 27001 certified, demonstrating our commitment to maintaining the highest standards of information security management.
All data is stored and processed within the European Union, ensuring your information is fully protected under EU legislation.
We fully comply with the General Data Protection Regulation (GDPR) and protect your privacy rights.
The DataSpeak AI platform complies with the new EU AI Act regulations for transparent and responsible AI applications.
You always maintain full control over your data. You can export or delete your data from the DataSpeak AI platform upon request.
We never use your data to train our AI models. Your information remains completely private and is never shared.
Track who did what and when across your AI assistants. Full activity logging for accountability, compliance, and troubleshooting.
You control how long operational data is kept. Set retention periods per client to match your policies — audit logs are always preserved.
For maximum privacy, we offer Zero Data Retention (ZDR) with select LLM partners. Prompts and responses are not stored or logged — an extra layer of protection for sensitive use cases.
We are happy to show how the security check performs on your own questions.