Cyber/DFIR Tool Methodology.
Defensive instruments for incident evidence, telemetry, resilience, threat hypotheses and blast-radius analysis.
Defensive instruments for incident evidence, telemetry, resilience, threat hypotheses and blast-radius analysis.
Each instrument has a method, assumptions, limitations, example output and exportable artifact.
Builds an evidence source matrix and investigation sequence for a selected incident scenario.
Prioritizes review of a known-exploited vulnerability using user-entered exposure, asset criticality and compensating controls.
Maps a disruption scenario to controls, telemetry, recovery evidence and test cadence.
Maps where an AI system changes cyber dependencies, identities, data flows and incident-response paths.
Checks whether incident timestamps, evidence sources and time-zone assumptions are internally consistent.
Turns a defensive suspicion into a hunt hypothesis with telemetry, expected observations and falsification criteria.
Estimates likely blast-radius pressure from identity scope, lateral movement potential, data reach and dependency concentration.
Maps telemetry coverage across identity, endpoint, cloud, network, email, application and data layers.
Defensive instruments for incident evidence, telemetry, resilience, threat hypotheses and blast-radius analysis.