Category
AI Threats
AI Threats are the attack techniques that target machine learning systems and the applications built on them. They range from prompt-based attacks like injection and jailbreaking to data poisoning, model theft, and AI-powered phishing. Each entry below explains how the attack works and the controls that limit its damage.
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OWASP NHI Top 10 – Environment IsolationOWASP NHI8:2025 - Environment Isolation, also called NHI8:2025, is the 8th risk listed in the OWASP Non-Human Identities Top 10 framework. It outlines the failure to assign separate non-human identities in deployment environments, which can allow shared credentials used in less-protected development or staging systems to be used directly in production.
Prompt Injection AttacksPrompt injection attacks manipulate large language model (LLM) inputs with malicious instructions to override intended behaviors or trigger unauthorized actions. It’s like command injection or SQL injection, but for AI.
Shadow AIShadow AI is the unsanctioned use of artificial intelligence models, tools or embedded AI-powered features by employees. It occurs without the knowledge, approval or oversight of an organization’s IT or security team, which leads to data exposure and compliance violations. Few organizations are capable of reliably detecting or mitigating shadow AI in practice.
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