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From cybersecurity fundamentals to AI agent security. Start where you are and learn through practice.
Showing 15 of 15 courses.
Understand assets, threats and controls before choosing security tools.
Trace traffic across DNS, TCP, TLS and network boundaries.
Apply least privilege, safe file permissions and useful Linux auditing.
Recognise broken access control, injection and unsafe browser trust.
Design APIs with explicit authorisation, validation and safe limits.
Scope an authorised assessment and turn evidence into remediation.
Collect public evidence with provenance, privacy and uncertainty in mind.
Prioritise findings using exposure, business impact and remediation evidence.
Turn logs into defensible detections and actionable analyst decisions.
Practise containment, evidence handling, recovery and clear communication.
Apply shared responsibility, identity boundaries and storage protection.
Map AI data flows, trust boundaries and practical failure modes.
Protect retrieval, prompts and outputs with explicit application controls.
Limit tool authority and make consequential actions auditable and reversible.
Run bounded evaluations that produce reproducible evidence and fixes.