What is AI Security in Applied AI?
The application of cybersecurity practice to AI systems and the components around them: training pipelines, model weights, inference endpoints, vector stores, agent tools, and the data flowing through every step. AI security covers traditional concerns such as access control and secrets management plus AI-specific risks such as prompt injection, model extraction, and data poisoning.
Why AI Security Matters for Your AI or Cybersecurity Career
AI security is now its own discipline at large enterprises and frontier labs. Cybersecurity practitioners with AI literacy and AI engineers with security literacy are both rare and well-paid.
Related Applied AI Terms
Cybersecurity Convergence
The cybersecurity glossary covers a parallel term for this concept on the cyber side of the convergence.
Read about AI Security in cybersecurity →The application of cybersecurity practice to AI systems and the components around them: training pipelines, model weights, inference endpoints, vector stores, agent tools, and the data flowing through every step. AI security covers traditional concerns such as access control and secrets management plus AI-specific risks such as prompt injection, model extraction, and data poisoning.
AI security is now its own discipline at large enterprises and frontier labs. Cybersecurity practitioners with AI literacy and AI engineers with security literacy are both rare and well-paid.
Sources
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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