Observed evidence
A log line, file entry or document statement that appears in the supplied case.
About Amniora
Learn to explain what the evidence can and cannot prove.
Amniora gives learners realistic case material, structured tasks, feedback and a progression path for practical cybersecurity judgement.
Careful reasoning
Keep facts, conclusions and unknowns separate.
Learners practise keeping three ideas separate instead of blending them into a confident but unsupported answer.
Supported inference
A conclusion that follows from listed evidence and names its limits.
Unsupported claim
A statement about intent, scope or compromise that the evidence does not prove.
Principles
Learning starts with practical investigation work
Learners practise reading artefacts, forming supported conclusions and naming uncertainty.
Concrete practice
Learners need evidence, constraints and an objective before a cybersecurity concept becomes useful practice.
Useful guidance
AI can help explain the next step, but the learner still has to inspect the evidence and make the finding.
Visible uncertainty
Good investigation work includes saying what the evidence cannot prove.
Traceable progress
Saved labs, roadmap status and achievements make practical development visible over time.
Current platform
What Amniora brings together
The private beta combines generated labs, AI guidance and visible learning progress in one account.
Generated investigations
Structured cases with learner-visible synthetic evidence and task requirements.
Investigations
Linux labs
Current practical investigations focus on Linux system evidence and analysis.
Practice
AI Tutor
Focused learning support for questions and task-level guidance.
Support
Roadmap
An organised progression view for completed, current and upcoming learning areas.
Progress
Safe practice
Private beta warnings explain when to use synthetic, non-sensitive information.
Safety
Saved work
Investigations can be revisited as part of continued learning.
Review
Current status
Current, honest product information
Amniora is under active development. Private beta notices explain current access, planned work and data-reset limits.
Read the evidence, write your findings and explain what remains uncertain.
See the investigation model in action.
Explore how Amniora structures labs, guidance and progression for practical learning.