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Foundations of AI & Cybersecurity - Lesson 20: Building Secure AI - Requirements Phase - Using Guardrail Assurance, Testing, and Validation
This lesson explains why AI guardrails must be treated as formal requirements from the very beginning, not added later as optional protections. It focuses on three pillars: guardrail assurance to define what the system must prevent, guardrail testing to prove those protections hold under attack, and guardrail validation to confirm the AI can be trusted in its real-world context. The core message is that secure AI depends on designing, testing, and validating safety controls before deployment.
#AI
#Cybersecurity
#AIProjectManagement
#AIGovernance
#AISecurity
By This LocaleFoundations of AI & Cybersecurity - Lesson 20: Building Secure AI - Requirements Phase - Using Guardrail Assurance, Testing, and Validation
This lesson explains why AI guardrails must be treated as formal requirements from the very beginning, not added later as optional protections. It focuses on three pillars: guardrail assurance to define what the system must prevent, guardrail testing to prove those protections hold under attack, and guardrail validation to confirm the AI can be trusted in its real-world context. The core message is that secure AI depends on designing, testing, and validating safety controls before deployment.
#AI
#Cybersecurity
#AIProjectManagement
#AIGovernance
#AISecurity