Your Java AI application is live in production. But have you tested whether it can be jailbroken, manipulated into revealing its system prompt, or tricked into printing content it should never output?
In this episode, Iryna Dohndorf, Software Engineer at Karakun Group and creator of Tiberius, explains how to bring security testing to LLM-powered Java applications. We cover why traditional unit tests break down with non-deterministic systems, how the Scan-Fixture-Validate workflow works, what buff mutation testing is, and why even well-trained models can be cracked with something as simple as the grandmother attack.
Topics include:
Why LLM non-determinism breaks the classic input/output test model
The Scan-Fixture-Validate principle and sharing test artifacts across teams
Prompt injection, jailbreaks, and emotional manipulation attacks
Buff mutation: testing linguistic surface coverage
Probabilistic security contracts and multi-trial scans
Fingerprinting and why your model choice should not be detectable
LLM as a judge: using a second model as a guardrail
Getting started with Tiberius in Spring Boot and LangChain4j
Guest Iryna Dohndorf - Software Engineer at Karakun Group LinkedIn
Timestamps 00:00 Introduction of topic and guest 01:05 The problem Tiberius wants to solve 06:39 How "traditional" unit tests don't work for LLM integrations 10:23 Scan-Fixture-Validate principle and sharing artifacts 15:15 Using different skills, for example, the grandmother skill 17:33 Testing for required versus forbidden bias 19:35 The probes across nine attack categories used by Tiberius 20:44 Buff mutation testing 26:55 Using Tiberius in your pipelines and when to fail 29:35 Using multi-trial scans 31:14 Fingerprinting: which model you use, should not be detectable 32:55 Combining multiple models, model as a judge 34:41 Sharing JSON models to improve tests 36:05 How to get started with Tiberius in Spring and with LangChain4j 36:41 Quarkus not supported yet, plans for the future 39:07 Conclusions and a call out to everyone to become a Foojay author
Podden och tillhörande omslagsbild på den här sidan tillhör
Foojay.io | Java and Programming Community. Innehållet i podden är skapat av Foojay.io | Java and Programming Community och inte av,
eller tillsammans med, Poddtoppen.