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AI for Biosurveillance and Early Warning Systems Essentials
"AI for Biosurveillance and Early Warning Systems Essentials" covers how AI improves detection of biological threats through pattern recognition, anomaly detection, and predictive modeling. Ensuring cybersecurity is vital, as biosurveillance systems must be safeguarded from manipulation or false alert injection. Participants learn to design AI pipelines that are secure, resilient, and capable of operating in sensitive public health domains.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the principles of biosurveillance and early warning systems.
- Apply AI techniques for analyzing biological data to detect emerging threats.
- Analyze how AI improves the speed and accuracy of identifying novel bio-threats, significantly impacting biosecurity cybersecurity.
- Evaluate the use of AI in predicting and tracking the spread of biological agents.
- Discuss the integration of AI-powered biosurveillance with national cybersecurity infrastructure for comprehensive defense.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.