Security-101 is a vendor-agnostic, foundational cybersecurity learning curriculum organized into modular, framework-aligned modules. It is designed to build core knowledge across multiple security domains without tying content to specific products or platforms, making it suitable for both beginners and professionals seeking a structured introduction to the field.
The curriculum is built around established security frameworks, including the MITRE ATT&CK framework for standardized threat analysis and the NIST Cybersecurity Framework for incident response workflows. It covers a broad range of domains, including AI system security, cloud security, zero trust principles, identity and access management, network security, data protection, and security operations. Each module reinforces learning through end-of-module quizzes that test comprehension and direct learners to further reading.
The material spans core cybersecurity areas such as application security, cloud security posture management, data protection and compliance, identity and access management, network security and segmentation, and threat detection and response. It also addresses emerging areas like AI system security, covering data poisoning defense, adversarial attacks, and model hardening, as well as traditional security practices for AI infrastructure. The curriculum is structured to build knowledge sequentially, with each module providing a self-contained learning unit.
