#LLM
5 articles
Prompt Injection in LLMs — Threats 2026 and How to Defend
Prompt injection is the new SQL injection — attack #1 in OWASP LLM Top 10. How it works, why classic filters don't help, and what you can really do to secure AI applications.
LLM Application Penetration Testing — Methodology and Tools (2026)
An LLM application pentest is not a classic web pentest. A 6-phase methodology built on OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF — with concrete tools (Garak, PyRIT, promptfoo) and mapping to the EU AI Act.
AI Security — How to Protect Machine Learning Models and Training Data from Attacks
AI models and training data are prime attack targets. Learn how to protect AI systems from model theft, data poisoning, and adversarial sample attacks in production.
LLM Security — enterprise risk assessment framework
LLM risk assessment framework for enterprises — ML supply chain, model poisoning, data leakage, prompt injection, regulatory compliance (EU AI Act, NIS2). Practical guide.
LLM Security - Prompt Injection and AI Threats [OWASP Top 10]
Learn about threats to large language models: prompt injection, jailbreaking, data leakage. OWASP Top 10 LLM and how to safely deploy AI.