Choose Your Pipeline
Analyzes water OT/IT evidence to identify abnormal treatment, pumping, chemical-feed, distribution, vendor-access, and water-quality activity.
Analyzes plant, engineering, security, vendor, HMI, historian, control-configuration, and plant-support records to reconstruct nuclear cyber incidents.
Analyzes utility IT/OT evidence across substations, relays, RTUs, SCADA, engineering workstations, grid telemetry, and vendor access.
Analyzes airport IT, security, access-control, vendor, operational, badge, camera metadata, and flight-support records to reconstruct disruption events.
Analyzes enterprise IT evidence across endpoints, servers, identity, VPN, firewalls, cloud platforms, file activity, and network records.
Analyzes bank records, ledgers, pay apps, accounting exports, transaction activity, vendor payments, accounts, and audit trails to surface fraud patterns.
Say Hello to REMI
REMI stands for Remote Embedded Machine Intelligence: an AI forensic system built to analyze evidence locally and reconstruct what happened.
REMI is trained to recognize the behaviors behind advanced adversarial cyber attacks, not just isolated alerts or known malware signatures. It analyzes event logs, endpoint activity, identity records, VPN sessions, firewall traffic, file activity, commands, scripts, system changes, and operational records to identify how an attack is unfolding across the evidence.
REMI looks for behavior patterns associated with state-sponsored and advanced persistent threat activity, including quiet access, credential misuse, living-off-the-land commands, remote access abuse, lateral movement, tool staging, persistence, data access, configuration changes, and pre-positioning inside critical infrastructure networks. These are the kinds of patterns seen in advanced campaigns, including Volt Typhoon-style activity, where the concern is not always immediate destruction, but stealthy movement, access maintenance, and positioning inside important systems.
Instead of relying on one alert to explain the incident, REMI connects the records that belong together and reconstructs the activity into a clear forensic story: how access was achieved, which systems were touched, what changed, what evidence supports the finding, what remains unresolved, and what responders should do next.
Built so investigators, analysts, operators, and response teams can review complex case data without manually rebuilding every timeline.
Works from the records, logs, files, and source data loaded into the case, keeping analysis focused on the investigation in front of the team.
Designed for sensitive investigations where review, reconstruction, and reporting need to happen without relying on cloud access.
Ingests mixed sources even when records arrive in different formats, exports, folders, spreadsheets, text files, or vendor log structures.
Reviews registry artifacts tied to persistence, startup activity, user activity, device history, execution traces, and system changes.
Moves case data through detection, correlation, analysis, reporting, and next-step generation without requiring manual timeline reconstruction.
Applies the right forensic steps for the case, then organizes the records into behavior findings, connected activity paths, analysis, and SITREP-ready outputs.
Analyzes logs, files, alerts, sessions, systems, accounts, devices, timestamps, and source records from different vendors and platforms.
Turns disconnected records into a supported incident story showing what changed, what was touched, who or what was involved, and which records support it.
Shows confirmed findings, unresolved questions, additional records needed, and the next investigative steps to close the story.