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AI Security Fundamentals
AI security fundamentals: data, models, access, prompt injection, monitoring and risk control across the solution lifecycle.
About this course
This course explains AI security through the practical lifecycle of a solution: data, model, application, integrations and users. Participants review common risks such as data exposure, permission abuse, prompt vulnerabilities, incorrect outputs and missing monitoring. The program helps technical teams organize access control, data validation, logging and response procedures before an AI solution is used more broadly.
What you will learn
Recognize key AI solution risk classes.
Protect input data, outputs and user context.
Understand prompt injection, tool abuse and integration mistakes.
Design basic access and monitoring controls.
Prepare a pre-deployment AI checklist.
Define a response process for unsafe or incorrect behavior.
Syllabus
1 600 PLN
Catalog training price
Register Duration2 days
Module6
Attendance confirmationYes
Requirements
- Basic web application knowledge.
- AI experience is not required.