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At Digital DNA, we develop fully automated AI technologies that identifies and forensically reconstructs adversarial AI Cyber Attacks - in minutes.

Cyber Forensics builds practical AI that helps investigators move faster and with greater confidence—from triage and evidence capture to timeline reconstruction and reporting. Our platform preserves provenance and chain of custody, highlights the most relevant artifacts, and ties every finding back to the underlying evidence so conclusions remain defensible. Across our products, we recreate the events as they unfolded, giving teams a clear, chronological view of what happened, when it happened, and how the evidence supports it.

REMI Produces an On-the-Spot Cyber SITREP

REMI turns exported event logs into an evidence-based situation report that explains what happened, where the threat lives, what systems were touched, what to preserve, what to sandbox, what questions to ask, and what data is still needed.

Why Run a Cyber SITREP First

A cyber SITREP gives responders the first clear operating picture before they start making preservation, containment, sandboxing, or remediation decisions. Instead of beginning with assumptions or trying to preserve everything, teams can quickly understand what happened, which systems were touched, how large the incident appears to be, and what evidence matters most.

REMI helps responders prioritize the investigation early. The SITREP identifies affected accounts, devices, malware paths, scripts, processes, suspicious access, lateral movement, unresolved questions, and additional logs needed to confirm the story. That lets investigators focus first on the systems, artifacts, and evidence most likely to explain the incident.

Establish the operating picture first — quickly understand what happened, when it started, what systems were touched, and how serious the incident appears to be.
Define size and scope early — identify affected accounts, devices, networks, applications, OT systems, cloud services, or financial records before committing resources.
Avoid preserving everything blindly — focus preservation on the logs, files, devices, paths, artifacts, and records most likely to explain the incident.
Prioritize the first response actions — see what should be isolated, preserved, sandboxed, reviewed, removed, or escalated first.
See the timeline sooner — turn disconnected event logs into a sequence that shows what happened first, what followed, and what changed over time.
Connect activity across systems — link related accounts, IP addresses, sessions, files, processes, devices, vendors, and platforms that may look unrelated in separate tools.
Identify where the threat lives — surface suspicious file paths, scripts, malware artifacts, AI-spawned tools, persistence points, and affected machines.
Reduce wasted investigation time — give responders a faster path from “what happened?” to “what do we do next?” without manually reviewing every source in isolation.
Support better containment decisions — understand which systems appear affected, which are only adjacent, and which require immediate isolation or further review.
Preserve the right evidence — identify the specific logs, source records, hashes, files, scripts, sessions, and artifacts needed for forensic review or sandboxing.
Expose unresolved questions — highlight what still needs to be confirmed, including missing logs, unclear access paths, account ownership, vendor activity, or insider involvement.
Guide interviews and follow-up — generate case-specific questions for account owners, vendors, witnesses, IT teams, operators, managers, or financial staff.
Improve team alignment — give management, technical staff, investigators, and responders one evidence-backed summary instead of competing partial explanations.
Create a defensible starting point — document the evidence, confidence level, source limitations, and recommended next steps before deeper investigation begins.

Remi is your portable cyber wing-man that thinks like an investigator

A cyber SITREP gives responders the fast operational picture they need before making preservation, containment, sandboxing, or remediation decisions.

Sample REMI Cyber SITREP Excerpt

Priority Next Steps

1
Isolate affected workstation

Immediately isolate ENG-WS-04 from the network. Logs show malware-related process activity, outbound connections, and follow-on script execution from this device.

2
Preserve and sandbox suspected AI-spawned controller

Preserve C:\Users\j.martinez\AppData\Roaming\sysrunner.exe and submit a forensic copy for sandbox analysis. This artifact appears repeatedly across endpoint, process, and network evidence.

3
Remove spawned scripts and tools after preservation

After forensic preservation, remove C:\Temp\stage.ps1, C:\ProgramData\svc-loader.bat, and C:\Users\Public\update-task.vbs. These files are associated with suspicious execution and persistence behavior.

4
Review credential and token exposure

Review account activity for This email address is being protected from spambots. You need JavaScript enabled to view it., service account svc-remoteops, and VPN session source 185.77.44.201. Evidence suggests possible credential or session-token misuse.

5
Collect additional source data

Collect missing DNS logs, EDR process lineage, firewall egress records, mailbox audit logs, and VPN authentication records from 2026-07-13 08:00 UTC through 2026-07-13 11:00 UTC to expand the supported timeline.

Go From From “What Happened?” to
“What Do We Do Next?” in 10 Minutes.


A cyber SITREP gives responders a fast, evidence-backed operating picture before the investigation branches into preservation, containment, sandboxing, remediation, or interviews. Instead of starting with guesses, partial alerts, or competing explanations from different teams, REMI helps identify what happened, how large the incident appears to be, which systems were touched, and what evidence matters most.

REMI turns mixed event logs into a case-specific response view. It shows where the threat may still live, which files or scripts should be preserved, what should be sandboxed, what systems may need isolation, and what questions still need answers. It also points investigators toward the additional logs or records needed to confirm the full story.

What's Inside The Sitrep

What happened — plain-English incident summary and supported sequence of events.
Size and scope — affected accounts, devices, systems, dates, and confidence level.
Affected systems — workstations, servers, cloud accounts, OT systems, applications, or databases touched.
Threat artifacts — suspicious files, scripts, hashes, processes, malware paths, and AI-spawned tools.
Access path — phishing link, VPN session, vendor account, stolen token, endpoint activity, or insider misuse.
IP address and connection review — internal and external IPs, VPN endpoints, remote sessions, DNS lookups, geolocation clues, unusual source locations, and suspicious network connections.
Lateral movement — how activity moved between accounts, devices, networks, or platforms.
Evidence sources — logs, records, timestamps, alerts, files, sessions, and system events supporting each finding.
Priority next steps — what to isolate, preserve, sandbox, review, remove, or escalate first.
Follow-up questions — case-specific questions for investigators to ask account owners, vendors, witnesses, IT teams, operators, or managers based on the evidence REMI found.
Unresolved questions — insider involvement, vendor access, missing logs, account ownership, or additional data needed.

Because Every System Tells Part of the Story. REMI Puts It Together.

REMI’s superpower is that investigators can drop in event logs from almost any vendor, platform, or system and get a unified view of what happened. Instead of reviewing firewall logs, endpoint logs, identity logs, cloud logs, VPN records, email events, and operational-system logs one at a time, REMI analyzes them together and reconstructs the incident across the full evidence set.

That unified timeline helps investigators see how the activity started, how access was achieved, which accounts and devices were involved, where lateral movement occurred, what systems were touched, and how activity crossed between different vendors and platforms. REMI turns disconnected event logs into a single forensic reconstruction report that explains the attack path, the evidence behind it, and the actions investigators should

REMI Doesn’t Just Analyze Advanced AI Cyberattacks on Critical Infrastructure. It Knows How to Investigate Them.

REMI includes six industry-specific AI pipelines, each trained to understand the forensic questions, data sources, behaviors, artifacts, timelines, and relationships that matter for that type of investigation.

Instead of forcing users to manually choose filters, queries, or workflows, REMI analyzes the evidence package, routes it through the right investigative pipeline, and generates reports tailored to the incident type, source records, and detected activity. Whether the case involves nuclear, water, electric, airport, enterprise incident response, or financial crime records, REMI applies the appropriate analysis path and turns mixed evidence into clear, defensible findings.

The result is faster reconstruction, stronger reporting, and a case-specific explanation of what happened, what evidence supports it, what remains unresolved, and what should happen next.

AI Pipeline Take Forensics Control and Delivers Results

Fully automated AI forensics that accelerates digital investigations. REMI dynamically applies the right forensic methods for each scenario, analyzes event logs and evidence across vendors and platforms, surfaces the key artifacts investigators need to review, and reconstructs the incident timeline in minutes, not days. It helps identify how access was achieved, which accounts and devices were involved, what files, scripts, processes, or tools were created, where lateral movement occurred, what systems were touched, and what evidence should be preserved for deeper forensic review. REMI also supports chain-of-custody documentation by organizing the evidence package, tracking source records, and separating confirmed findings from inferred relationships, unresolved questions, and recommended next actions.

Identifies Patterns, Behaviors That Identifies Fraud, Theft and Crimes

Detect suspicious patterns across users, devices, industrial systems, and enterprise networks. REMI analyzes event logs and evidence across accounts, endpoints, cloud services, VPNs, firewalls, identity systems, operational platforms, industrial control systems, and enterprise network environments to identify anomalies, repeated behaviors, and hidden connections that may not be visible in a single tool. It can surface unusual sign-ins, abnormal command sequences, suspicious file creation, unexpected configuration changes, lateral movement indicators, repeated IP addresses, shared device activity, and relationships between users, machines, processes, systems, and network connections. By connecting these patterns across vendors, platforms, industrial environments, and enterprise networks, REMI helps investigators understand which behaviors matter, where the activity started, how it spread, and what should be reviewed or preserved next.

Correlation Analysis: How Did This Happen, Who Was Involved & More

Connect the dots across disparate logs and evidence. REMI links related events across disconnected data sources, including enterprise logs, industrial systems, cloud platforms, endpoints, identity records, network activity, financial records, access-control systems, and incident evidence. It reveals shared indicators such as accounts, devices, IP addresses, file paths, URLs, timestamps, processes, transaction IDs, badge activity, configuration changes, and repeated behaviors that may appear separately across different vendors or platforms. By connecting these relationships into a unified timeline, REMI helps investigators build a coherent narrative faster, showing what happened, how activity moved, which systems were touched, what remains unresolved, and what evidence supports each finding.

Comprehensive LLM Reporting

Turn investigations into a clear, defensible story. REMI helps investigators transform scattered logs, evidence, notes, and interviews into a structured incident narrative that is easier to review, explain, and defend. It auto-builds timelines, cites supporting evidence sources, organizes witness interview details, tracks key artifacts, maintains chain-of-custody documentation, and generates a polished incident report that separates confirmed findings from inferred relationships and unresolved questions. The result is a case-ready report package that explains what happened, who or what was involved, which systems or records were affected, what evidence supports the conclusions, and what actions should be taken next.

Aggregates Your Mixed Evidence Into a Single Timeline

Bring together logs, user activity, and system events into one unified view. REMI analyzes evidence from across platforms, accounts, vendors, enterprise networks, industrial environments, cloud systems, endpoints, identity providers, and operational tools to correlate activity that would otherwise remain separated. It connects related events, repeated indicators, timestamps, accounts, devices, IP addresses, file paths, processes, commands, configuration changes, and access records to reduce investigative gaps and reveal the true sequence of events behind an incident. By building a unified evidence timeline, REMI helps investigators understand how the incident started, how activity moved, what systems were touched, which findings are supported, and what evidence still needs to be reviewed.

Local Forensics GPT Assistant

A case-specific AI assistant running locally. REMI gives investigators a local AI assistant that can answer questions about the specific evidence package loaded into the case, including logs, timelines, artifacts, accounts, devices, files, processes, connections, interviews, and findings. Investigators can ask what happened, where activity started, which systems were touched, what artifacts matter, how events relate across sources, and what evidence supports each conclusion. Because the assistant works from the case data, it helps surface insights, trace relationships, and explain findings with full context while keeping the investigation focused on the evidence in front of the team.

Choose Your AI Pipeline


Airport Networks

Reconstruct airport security and operations incidents with automated AI forensics. Analyze access-control logs, badge activity, camera metadata, maintenance records, flight-support systems, vendor activity, and incident reports offline across airport platforms to identify what happened, how access was achieved, which people, accounts, devices, systems, and areas were involved, and whether unauthorized access, abnormal movement, suspicious operational patterns, or security and safety risks affected terminals, airside zones, baggage areas, ground operations, or restricted facilities. REMI helps investigators turn disconnected airport records into a forensic reconstruction report, including indicators of coordinated intrusion, insider misuse, theft, sabotage, or compliance violations.

Water Treatment

Reconstruct water treatment cyber incidents with AI-automated forensics. Analyze event log files offline across treatment networks, SCADA systems, engineering workstations, vendor access records, pump systems, chemical dosing controls, alarm logs, historian records, and water quality monitoring platforms to identify what happened, how access was achieved, which accounts, devices, control systems, and operational assets were involved, and whether suspicious engineering changes, unauthorized access, abnormal command sequences, or configuration activity affected treatment operations. REMI helps investigators turn disconnected water utility logs into a forensic reconstruction report, including indicators of AI-automated attack activity.

Nuclear Power

Reconstruct nuclear power cyber incidents with AI-automated forensics. Analyze event log files offline across plant networks and control environments to identify what happened, how access was achieved, which accounts, devices, workstations, OT segments, and control systems were involved, and whether suspicious engineering changes, unauthorized access, abnormal command sequences, or configuration activity affected reactor-adjacent systems, safety instrumentation, or auxiliary controls. REMI helps investigators turn disconnected plant and control-environment logs into a forensic reconstruction report, including indicators of AI-automated attack activity.

Electric Grids

Reconstruct electric grid cyber incidents with AI-automated forensics. Analyze event log files offline across utility networks, substations, SCADA/EMS systems, engineering workstations, relay records, breaker operations, access logs, configuration records, and outage evidence to identify what happened, how access was achieved, which accounts, devices, control systems, and grid assets were involved, and whether suspicious engineering changes, unauthorized access, abnormal command sequences, relay setting changes, or configuration activity affected grid operations. REMI helps investigators turn disconnected electric utility logs into a forensic reconstruction report, including indicators of AI-automated attack activity.

Financial Crimes

Reconstruct financial crime activity with AI-automated forensics. Analyze accounting records, payment systems, banking exports, invoice activity, approval workflows, and transaction logs offline across financial platforms to identify what happened, how funds moved, which accounts, vendors, approvals, devices, and payment instruments were involved, and whether suspicious transfers, unauthorized transactions, concealment activity, or abnormal behavior affected corporate accounts, payment processors, or personal banking apps. REMI helps investigators connect mixed financial records into a single forensic reconstruction report, including indicators of coordinated fraud, theft, embezzlement, vendor misconduct, kickbacks, or payment diversion schemes. Click to learn more.

Incident Response

Reconstruct incident response activity with AI-automated forensics. Analyze event logs and evidence offline across enterprise networks, cloud services, endpoints, identity systems, VPNs, mailboxes, and security platforms to identify what happened, how access was achieved, which accounts, devices, files, scripts, processes, and connections were involved, and whether suspicious access activity, unauthorized account use, abnormal command sequences, lateral movement, persistence, or exfiltration indicators affected systems, users, or network infrastructure. REMI helps responders turn disconnected logs into a clear forensic reconstruction report, including indicators that adversaries may be using AI-automated attack techniques.

See Our License Options

We offer a range of licensing options designed to fit different mission requirements, operational environments, and team structures. Training and support packages are also available to ensure your personnel can deploy, use, and scale the platform effectively. From software licensing alone to full onboarding and ongoing assistance, we provide flexible options tailored to your needs.