Strand

Strand develops an AI-powered digital forensics and incident response (DFIR) platform designed to automate security investigations. The platform ingests evidence from existing security tools such as EDR, XDR, SIEM, and MDR platforms, or collects raw forensic artifacts directly from hosts, servers, and cloud tenants using its own forensic collector agent. The product is aimed at two main user groups: internal security teams and incident response (IR) firms. For internal teams, Strand connects behind existing detection tools so that high-confidence alerts automatically trigger evidence collection, allowing analysts to investigate a higher percentage of alerts without manual correlation work. For IR firms, Strand collectors can be deployed to compromised systems during active incidents such as ransomware attacks, without depending on pre-existing telemetry from the client. Strand's investigation engine analyzes collected evidence to determine root cause, lateral movement, persistence mechanisms, and data impact, then generates reports for different stakeholders including customers, regulators, insurers, and executives. Use cases include business email compromise investigations, network intrusion and ransomware analysis, and alert-driven investigations tracing malicious activity back to its origin. The company positions its offering as providing the depth of traditional digital forensics at a speed comparable to automated detection tools, targeting organizations that need faster, evidence-based answers during and after security incidents.