Product

ForensicAI

AI-Powered Digital Forensics & Incident Investigation Platform

When a breach occurs, every hour of investigation delay costs your organization millions. ForensicAI compresses weeks of manual forensic investigation into hours — giving your incident response team, legal counsel, and regulators the answers they need, faster than any adversary expects.

10x

Faster investigation vs. manual forensics

< 2hrs

Time to initial attack timeline reconstruction

99.7%

Evidence integrity preservation rate

Court-ready

Forensic reports with full chain of custody

Traditional Forensics Cannot Keep Pace With Modern Breaches

The average enterprise breach investigation takes 3–6 weeks using traditional forensic methods. During that time, regulators are waiting, insurers are demanding answers, legal counsel is flying blind, and the adversary may still be in your environment.

ForensicAI changes the economics of breach investigation — delivering complete forensic answers in hours, not weeks, at a fraction of the cost of traditional DFIR engagements.

Platform Capabilities

Eight AI-powered forensic capabilities that transform breach investigation speed and accuracy.

Automated Evidence Collection

AI-driven collection and preservation of digital evidence across endpoints, cloud environments, network devices, and SaaS applications — maintaining chain of custody automatically.

AI Attack Timeline Reconstruction

Machine learning models reconstruct complete attack timelines from fragmented log data — identifying patient zero, lateral movement paths, and data exfiltration events in minutes.

Network Forensics Engine

Deep analysis of network traffic, DNS queries, and encrypted communications to identify command-and-control infrastructure, data staging, and exfiltration channels.

Malware Analysis & Reverse Engineering

Automated static and dynamic malware analysis — identifying malware families, capabilities, persistence mechanisms, and indicators of compromise (IOCs) without manual reverse engineering.

Threat Actor Attribution

AI-powered threat actor attribution using TTPs, infrastructure patterns, and malware signatures — linking incidents to known threat groups and informing strategic response decisions.

Court-Ready Forensic Reports

Automated generation of legally defensible forensic reports with complete evidence documentation, chain of custody records, and expert-level findings — ready for regulators, insurers, and courts.

Cloud & SaaS Forensics

Native forensic capabilities for AWS, Azure, GCP, Microsoft 365, Salesforce, and other cloud environments — where traditional forensic tools have no visibility.

Regulatory Breach Notification Support

Automated breach scope assessment, affected individual identification, and regulatory notification documentation — meeting GDPR 72-hour, HIPAA, and SEC disclosure requirements.

Key Use Cases

Ransomware Investigation

Identify initial access vector, lateral movement path, data encrypted, and exfiltration scope — in hours, enabling faster recovery and insurance claims.

Insider Threat Investigation

Reconstruct employee data theft, IP exfiltration, and sabotage events with complete evidence chains suitable for HR, legal, and law enforcement.

Regulatory Breach Response

Determine breach scope, affected individuals, and data categories within regulatory notification windows — with automated documentation for GDPR, HIPAA, and SEC filings.

How ForensicAI Works

01

Collect

Automated evidence collection across all digital environments with chain of custody preservation.

02

Analyze

AI models process and correlate evidence to reconstruct the complete attack timeline.

03

Attribute

Threat actor attribution and blast radius assessment with confidence scoring.

04

Report

Court-ready forensic reports with complete evidence documentation generated automatically.

Investigate Breaches in Hours, Not Weeks

Schedule a ForensicAI demo. We'll demonstrate a complete breach investigation on a simulated environment — from evidence collection to court-ready report — in under 60 minutes.