Dominate Madrid's Cybersecurity Frontier: Autonomous Defense That Outpaces Attackers

Our engine uses behavioral AI and anomaly detection at the kernel and network level. It profiles normal baselines for every asset and flags deviations—like unusual lateral movement or process injection—in real-time. For zero-days, it automatically applies containment rules (e.g., network microsegmentation, process suspension) while alerting your team with a full forensic trail.

Yes. We integrate via API-first architecture with all major SIEMs (Splunk, Sentinel, Elastic), EDRs (CrowdStrike, Defender, SentinelOne), and cloud providers. Our engine ingests logs and telemetry without replacing your current tools—it sits above them as an autonomous orchestration layer.

Our system operates on a 'contain, then verify' model. Actions are reversible within 30 seconds via a one-click rollback. Additionally, our AI is trained on millions of incident responses and includes a 'safe mode' for critical production systems, where it recommends actions rather than auto-executing them until you approve the policy.

Typical deployment takes 2-4 hours for agentless cloud environments, and 1-2 days for hybrid or on-prem setups. We provide a dedicated onboarding engineer to tune the first 100 playbooks to your specific tech stack and risk appetite.

Our engine generates audit-ready logs for GDPR data breach reporting, ENS (Esquema Nacional de Seguridad) controls, and ISO 27001 Annex A. We automate evidence collection for access reviews, incident response drills, and vulnerability management—reducing audit prep time by up to 70%.