Responsible AI Security

Definitions

1. The combination of security, safety, privacy, and governance controls used to build and deploy AI systems in ways that reduce misuse, harm, and unintended impact. It includes model abuse prevention, data protection, evaluation, access controls, and accountability around high-risk AI behavior.

   In plain English: Securing AI systems in a way that also addresses safety, misuse, and accountability.

   Example: "The review treated prompt injection and training-data exposure as part of responsible AI security, not just as isolated product bugs."

Related Terms

• Rootkit
• Credential Stuffing
• Red Team
• OSINT
• APT
• WAF
• Safety
• Adversarial Machine Learning