Armadin AI Cybersecurity Platform is an autonomous offensive security platform that simulates real-world attack campaigns against enterprise environments to identify exploitable paths to compromise. The platform operates through a three-phase attack simulation methodology: - Reconnaissance: Enumerates hosts, profiles people, and analyzes defensive controls to map the attack surface before initiating active testing. - Adaptive Scouting: Runs persistent, parallel probes against identified weak points, learning from each attempt to refine subsequent attack strategies. - Precision Strike: Converts validated attack paths into full kill chains, executing toward defined objectives such as sensitive data access, domain compromise, ransomware simulation, hypervisor access, backup server compromise, and web application compromise. Key operational characteristics: - Operates at 80-90% autonomy, requiring only 4-6 human decisions per campaign. - Designed to test up to 30 targeted organizations. - Findings are validated and tied to specific kill chains, with the intent of eliminating false positives. - Includes built-in guardrails to limit operational impact and avoid disruption to critical systems during testing. - Provides prioritized remediation guidance for each validated kill chain. - Architected for large-scale, distributed enterprise environments. The platform is positioned as an autonomous red team capability, modeling attacker behavior based on established red team tradecraft rather than checklist-based scanning. It continuously adapts as the target environment changes.