Vector and embedding weaknesses in LLMs create dangerous backdoors that hide inside AI’s internal understanding of language. Learn how OWASP LLM08:2025 exposes this hidden risk—and what to do about it.
OWASP LLM07:2025 highlights a growing AI vulnerability—system prompt leakage. Learn how attackers extract internal instructions from chatbots and how to stop it before it leads to deeper exploits.
Data poisoning attacks corrupt AI from the inside—during training. Learn how attackers sneak malicious data into your LLM and how to stop it before it’s too late.
As LLMs connect to tools and APIs, insecure plugin design becomes a critical threat. Learn how careless integrations can turn your AI assistant into a backdoor—and how to stop it.
Prompt injection is one of the most dangerous threats in AI security. This post breaks down how attackers exploit LLM prompts—and what developers must do to defend against it.
