Cydelphi AI-Native DFIR is a digital forensics and incident response platform designed to reduce breach recovery time through AI-driven automation. It targets MSSPs, MSPs, DFIR service providers, and enterprise organizations. Core capabilities include: - Multi-Tenant Command Center: A centralized dashboard for managing the full DFIR lifecycle across multiple clients or global locations. AI-driven workflows guide each phase: Preparation, Identification, Containment, Eradication, Recovery, and Stability. - Air-Gapped Resilience Vault: Continuously captures system images and network configurations, stored offline and immutably, isolated from adversaries. Supports configuration drift detection, change analytics, and posture and compliance reporting. - Rapid-Deployment Forensics: Enables remote deployment to compromised systems for evidence collection, threat analysis, and recovery execution regardless of infrastructure location. - Automated Playbooks: AI-enabled response playbooks tailored to the specific infrastructure and threat type, eliminating manual triage. - Parallel Investigation and Recovery: Pre-staged system images allow critical systems to be restored while forensic investigation continues simultaneously. - Baseline and Environment Mapping: Continuously captures baselines, configurations, and clean states before an incident occurs to avoid starting recovery from zero. The platform claims to reduce incident response and recovery time by 75%. It is positioned as a commercial SaaS platform with multi-tenancy support for service providers managing multiple client engagements.