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Europe's Largest Quality Engineering Conference

Track Talk, T21

Securing LLMs: Insights into OWASP Top 10

Maryia Tuleika

16:45 - 17:30 CEST, Tuesday 16th June

What if I told you that you can trick an LLM into revealing secrets, making bad choices or even acting against its own rules? AI may seem like a black box, but when you start testing it like any other system, surprising weaknesses start to appear.

Together with me, I want you to take a look into how the OWASP Top 10 (a well-known list of the most common security issues in software) can help to understand and mitigate the risks linked to LLM applications. We’ll go beyond theory and explore real-world examples both from the news and from my experience at ongoing projects and see how these vulnerabilities play out in AI-driven systems.

We’ll check how poorly crafted prompts, weak security settings, biased training data, and lack of proper safeguards can lead to serious security flaws. How easily can an attacker manipulate an LLM? What happens when sensitive data leaks through unintended AI behavior? Can a seemingly harmless chatbot be turned into a security risk? I’ll answer these questions while using my own cartoons to illustrate key risks in a fun and easy-to-understand way supported by examples from my projects.

The good news? You don’t need to reinvent the wheel to test AI. Strong system thinking, traditional testing techniques, and a critical mindset are already powerful tools for uncovering vulnerabilities. The same skills used to break and improve software (like exploratory testing, risk analysis, extensive logging and monitoring) can help make AI systems safer and more predictable.

By the end of this talk, you’ll have a fresh perspective on AI risks, practical strategies to make your LLM integrations more secure, and, of course, a few laughs along the way.

What you will learn

  1. AI Security is an Ongoing Process : LLM vulnerabilities change as attackers find new ways to exploit them. Continuous testing and adaptation are necessary to stay ahead of threats
  2. Traditional testing techniques are effective tools for identifying and mitigating most of the security flaws
  3. Understanding how AI interacts with other app components is important to spot security gaps and strengthen defenses

Session Details

  • Intermediate
  • 45mins
  • Includes 15min Q&A
  • Testing the reliability, fairness, and safety of AI models
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Check out this video from Maryia Tuleika to hear more about her talk on Securing LLMs: Insights into OWASP top 10.

We look forward to welcoming you to EuroSTAR 2026.

Session Speakers

Maryia Tuleika

Regent AB, Sweden

Maryia is a Quality Engineering Leader with a strong focus on backend testing and embedded systems. She leads testing initiatives, drives education programs and actively contributes to the Swedish testing community. As a mentor, speaker and podcast host, she helps new test professionals build their skills and confidence.

With experience spanning multiple industries, she brings a broad perspective on testing, prioritization and risk-based decision-making. She believes that great testing is about both technical excellence and knowing when to step back, think critically and enjoy the process.

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