Realistic SOC workflow
Move from alert to evidence, investigation, conclusion and escalation using a repeatable analyst process.
Know the company.
Investigate what changes.
Practical security investigations inside a persistent simulated organisation. Being built to help aspiring analysts gain experience before their first cybersecurity role.
Suspicious process activity
FIN-PC-01 · theo.walker · Finance
Synthetic training data. Preview of the intended experience, not the finished CAER application.
Return to the same fictional people, systems and business activity. Learn what is normal, remember earlier cases and use that knowledge when something changes. That is the intended CAER experience.
Persistent company
Build familiarity with normal users, assets and activity instead of starting from zero every time.
Move between alert, endpoint, identity and network evidence using a consistent analyst workflow.
Record what happened, explain why it matters and close or escalate the case with confidence.
Rather than resetting all context for every case, CAER is designed so learners can recognise what is normal before deciding what is suspicious. The environment and its activity are synthetic training data.
CAER aims to carry investigation outcomes into company history, so every return builds on what you already know.
Working foundations, active development and future plans are kept separate. The website preview illustrates the intended experience; it is not a release of the application.
Status scope: “Prototype / Implemented” refers to foundations in CAER’s private build. The website demonstration uses a separate, fixed sample dataset and does not establish product readiness.
Working foundations and demonstrated product flows.
Areas being deepened and refined in the private build.
Intended direction, not functionality available today.
CAER is currently in active development. It is not yet publicly downloadable or purchasable, and there is no public early-access programme. Development is private; CAER will be released publicly when it is ready. No release date has been announced.
Read development updatesExplore three sample alerts inside one fictional company. Review its normal behaviour, inspect events and document a judgement. This is a website demonstration of the intended product experience.
Handover: Finance closes its reporting cycle today. Operations runs a scheduled backup. A new remote sign-in needs context.
What this shows: the intended context-led workflow, evidence inspection, guidance levels and reasoned case decisions.
What it is not: a connection to CAER’s private simulation engine, a public trial or a promise of final features.
Guided, Assisted, Analyst and Advanced all use the same simulated company. Support steps back as you learn its normal users, endpoints, departments and network behaviour over time.
One environment: progress comes from deeper judgement, not from starting a disconnected exercise each time.
The interface demonstrates the intended progression. These are not four publicly available products or disconnected exercise sets.
Clear explanations, terminology and sensible next steps stay beside the investigation while you build your first repeatable workflow.
CAER’s design principles keep the experience realistic enough to matter and clear enough for new analysts to learn safely.
Move from alert to evidence, investigation, conclusion and escalation using a repeatable analyst process.
Learn the same fictional people, systems and normal behaviour so anomalies become meaningful rather than pre-labelled answers.
Inspect signals, correlate activity and explain a conclusion instead of trying to guess what an exercise expects.
Guidance is intended to reduce gradually while the underlying company and investigation process stay familiar.
Plain language, predictable navigation and progressive disclosure help learners focus on the security work itself.
Work with synthetic organisations, identities and activity inside an educational simulation built for authorised learning.
Revisit guidance, reconsider a judgement and understand what changed without unnecessary punishment or lost progress.
Repeated decisions in a familiar environment are intended to turn theory into a more confident investigation process.
“Give people somewhere safe to gain the experience employers keep asking for before they’ve had a chance to get the job.”
CAER is currently an independent project. Optional contributions help cover development, hosting, infrastructure and tooling while the platform is being built.
Follow development updates, see new investigations take shape and get in touch if the mission speaks to you.