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.
Why First responders should start with a complete immediate reconstruction of the attack.
In minutes, REMI helps investigators understand the scale and scope of a cyberattack by analyzing exported event logs across the case and reconstructing what happened. The report identifies how access was achieved, which accounts and devices were involved, where lateral movement occurred, what systems were touched, and which files, scripts, processes, and paths require forensic preservation or sandboxing.
Instead of trying to preserve entire networks before understanding the incident, responders can use REMI’s prioritized next-steps section to focus on the evidence that matters most. The report recommends actionable steps in priority order, including what to isolate, what to preserve, what to remove, what to sandbox, and what still needs verification. This gives first responders a faster way to understand the attack, reduce uncertainty, and guide deeper forensic work.
REMI Is an AI Forensic Reporting Pipeline, Trained On Advanced Adversarial Cyber Attacks
Import logs from every system, drop them into REMI, and let a tuned AI model analyze behavior across vendors, platforms, accounts, devices, and timelines to produce a complete report package in minutes.
Traditional investigation software often requires users to know where to look, which filters to run, and how to manually connect evidence across separate tools. REMI works differently. Investigators export logs from the systems involved in the case, bundle them into ZIP files, and drop them into REMI. The AI pipeline then analyzes the full evidence set together, using models trained and tuned for the specific behaviors, patterns, and risks found across different vendors and platforms.
REMI reviews the logs, connects related activity, identifies suspicious behavior, reconstructs the timeline, and generates a comprehensive report package that explains what happened, who or what was involved, which accounts and machines were affected, what files or scripts were created, how access was achieved, what systems were touched, and what evidence should be preserved or removed. Instead of needing deep technical knowledge or hours of manual review, users receive an investigation-ready report in minutes.
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
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.
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.