AI Security Fundamentals (2026): Threats and Controls - Blockchain Council

The article highlights prompt injection as a leading risk for LLM applications, enabling attackers to override instructions, exfiltrate sensitive data from context, or initiate unauthorized API calls. It also details data poisoning attacks, which corrupt training or fine-tuning data, potentially embedding backdoors or introducing biases into AI models.