At Cyber Forensics, we develop AI-powered log analyzers that automate forensic investigations and reporting for first responders.

Say hello to REMI, the AI-powered log analyzer that ingests, aggregates, and normalizes event logs across platforms and vendors—reconstructing a forensic timeline and generating an evidence-backed report that explains what happened, when, and how.

At Cyber Forensics, we develop portable, offline AI analyzers for industrial facilities, enterprise networks, and financial investigations. Our trained AI models help teams detect cyber threats, uncover potential fraud and theft, and reconstruct what happened—with findings tied to the evidence.

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REMI AI analyzers are trained to identify advanced cyberattack behaviors, including those associated with AI-assisted attacks, across mixed IT and OT environments in critical infrastructure.

AI doesn’t just analyze evidence—it decides how to analyze it. RemiFetch adapts forensic methodology in real time based on detected patterns, automatically applying the right techniques—correlation, artifact extraction, behavioral analysis, and timeline reconstruction—to match the investigation.

By linking signals across systems and evolving its approach as new evidence emerges, AI reveals relationships and attack paths that static workflows cannot. This enables deeper insight, faster investigations, and defensible, evidence-driven conclusions.

✓ Fully offline

✓ Embedded AI models

✓ USB portable

✓ Offline IP lookup

✓ Automated AI pipeline

✓ Reports in minutes

REMI uses behavioral, pattern, and correlation analysis to reconstruct the timeline of how events unfolded.

How REMI reconstructs the investigation

REMI uses trained AI models to turn scattered logs and reports into a connected account of what happened. By examining behavior, recognizing suspicious patterns, and correlating evidence across platforms and vendors, it helps investigators uncover activity that individual records may not reveal. Analysis runs entirely offline, producing a chronological forensic timeline and a report with findings tied to the underlying evidence.

Behavioral Analysis

REMI examines how users, devices, and applications act over time. It highlights suspicious access, privilege changes, unusual execution, and unexpected data movement that may indicate attack preparation, targeted intrusion, or theft. These behaviors give investigators context for understanding how an incident developed.

Pattern Analysis

REMI looks for recurring actions and event sequences that may signal coordinated malicious activity. It surfaces patterns consistent with reconnaissance, staging, persistence, and data exfiltration—including activity associated with AI-assisted malware. Findings help investigators prioritize suspicious sequences and distinguish isolated anomalies from a broader attack.

Correlation

REMI connects related events across mixed platforms, vendors, and evidence sources using timestamps, accounts, devices, and other shared details. It brings those connections into one forensic timeline, helping investigators follow activity across systems and explain how events unfolded, with each finding traceable to its supporting records.

The AI log analyzer trained to recognize foreign adversarial malware behaviors and connect the evidence like a cyber investigator.

State-sponsored threat actors may seek long-term access to critical infrastructure, positioning tools and compromised accounts for espionage, data theft, or future disruption. Used as a periodic audit tool, REMI analyzes exported IT and OT logs and reports for evidence of suspicious access, staged malware, persistence, privilege misuse, and unexplained configuration changes—even when no incident has been declared.

REMI correlates these findings across systems to reveal connected activity that isolated records may obscure. It produces evidence-linked timelines, forensic reports, and a SITREP that prioritizes further investigation, evidence preservation, and corrective action. Findings identify observed behaviors; attribution to a particular actor requires additional evidence.

✅ Audit for signs of pre-positioned access and persistence
✅ Trace suspicious accounts, tools, and maintenance activity
✅ Identify unexplained control and configuration changes
✅ Connect potential staging to operational disruptions
✅ Document findings and prioritize follow-up actions

AI Analyzers For First Responders

Airports Systems and Tower

REMI automatically analyzes native logs from airport systems, connected control-tower platforms, servers, and security infrastructure. Its AI correlates events, traces configuration changes, and reconstructs how a disruption unfolded to distinguish evidence of a cyberattack from an internal server misconfiguration. It generates a unified forensic timeline and report with findings linked directly to the original records.

Water Treatment System

REMI automatically analyzes control-system logs, security events, operator actions, and remote-access records to investigate cyberattacks against water infrastructure. Its AI detects suspicious sequences, traces unauthorized changes to treatment settings and equipment controls, and reconstructs the attack timeline. It generates a forensic report identifying affected systems, documented actions, and supporting evidence.

Forensic Accounting

REMI automatically analyzes ledgers, invoices, financial statements, payment records, and accounting audit trails. Its AI traces funds across sources, detects duplicate payments and unusual transactions, and connects documented activity between accounts, people, and organizations. It reconstructs the financial timeline and generates an evidence-linked report detailing indicators of fraud, theft, waste, and abuse.

Electric Grids & Sub Stations

REMI automatically correlates security logs, substation events, protection-system records, and remote-access activity to investigate cyberattacks against electric infrastructure. Its AI traces suspicious access, unauthorized configuration changes, and coordinated actions across systems. It reconstructs the attack sequence and generates a forensic report identifying affected assets and the evidence connecting cyber activity to operational disruption.

Nuclear Power Facilities

REMI automatically analyzes cybersecurity logs, access records, configuration histories, and available operational events to investigate cyberattacks against nuclear power facilities. Its AI correlates suspicious activity across IT and OT environments, traces unauthorized actions, and reconstructs the sequence of intrusion and subsequent activity. It generates a forensic timeline and report with findings tied directly to source evidence.

Enterprise Networks

REMI automatically analyzes native logs from servers, endpoints, applications, and security infrastructure to investigate enterprise cyberattacks. Its AI correlates suspicious logins, privilege escalation, malicious execution, lateral movement, and data-access activity across platforms and vendors. It reconstructs the attack timeline and generates an evidence-linked forensic report identifying affected accounts, devices, and documented attacker actions.

Your Incident Response Wingman

Portable AI securely turns native logs into comprehensive timelines, forensic reports, evidence references, and diagrams—in minutes.

Zip your native log files into a single archive, drop it into REMI, and let its embedded AI handle the analysis. REMI automatically normalizes records, correlates activity across systems, and reconstructs how events unfolded—generating a forensic timeline, diagrams, and a report with findings linked to the original evidence. Everything runs locally and fully offline, with no manual log parsing or cloud uploads required.

Models are trained like investigators

REMI thinks like an investigator and is trained to identify adversarial cyber attacks, disruptions, staging and tradecraft behaviors

REMI’s embedded AI automatically correlates configuration changes, account activity, process creation, and security events to distinguish evidence of an internal misconfiguration from deliberate interference. It examines what changed, which account or process made the change, what executed next, and how that activity spread across systems.

REMI traces suspicious process spawning, staged payloads, dormant persistence, concealment, privilege escalation, and coordinated disruptions. It reconstructs these behaviors into an attack timeline and generates a forensic report connecting each finding to the original evidence.

For suspected AI-assisted attacks, REMI evaluates the documented activity and supporting artifacts. It distinguishes observed attack behavior from conclusions about AI involvement—so the report explains both what happened and what the evidence supports.

MODELS ARE TRAINED LIKE FINANCIAL INVESTIGATORS

REMI thinks like a forensic accountant—uncovering suspicious transactions, tracing concealed money movements, and connecting evidence of potential corporate fraud.

REMI’s embedded AI automatically correlates bank statements, ledgers, invoices, payroll, payment records, and accounting audit trails to distinguish financial discrepancies from patterns of deliberate manipulation. It examines what was recorded, what changed, which accounts or users were involved, and where the money moved next.

REMI identifies patterns such as duplicate billing, fictitious vendors, redirected payments, unusual journal entries, concealed related-party transactions, and circular fund movements. It reconstructs these activities into transaction timelines and funds-flow diagrams, generating forensic reports with findings linked to the original evidence.

For suspected insider involvement or coordinated fraud, REMI connects transactions with approval histories, beneficiary changes, and recorded user activity. It separates documented facts from unresolved questions—explaining what happened, who or what was associated with the activity, and what the evidence supports.

get the full reports timeline, and SITREP

Get a complete forensic report set in about 10 minutes—including evidence-linked timelines, diagrams, and a SITREP outlining the recommended next steps.

In about 10 minutes, REMI reconstructs what happened and how, identifies affected systems, traces what was changed or transferred, and flags evidence of potential insider involvement—delivering comprehensive forensic reports, an evidence-linked timeline, and a situation report (SITREP).

say goodbye to manual forensics

See it in action. Request a live demo or trial license.

Discover how REMI turns native records into a complete forensic report set—including evidence-linked timelines, diagrams, and a SITREP outlining recommended next steps. Contact us to schedule a live demonstration or discuss a trial license for your environment.