In a world where threats evolve in seconds, measuring cybersecurity effectiveness requires more than counting incidents — it requires understanding how fast and how autonomously an organization can neutralize them.

The Automated Resilience Index (ARI) introduces a new paradigm for assessing cybersecurity readiness. Developed by Gianclaudio Moresiand founder of the Cyber Risk Evaluator (CRE) platform, ARI quantifies the speed, efficiency, and automation level of a company’s response to phishing and identity-based attacks.

Unlike traditional awareness or detection metrics, ARI focuses on systemic strength, not human weakness. It evaluates how effectively AI, automation, and people collaborate to contain threats before they escalate. Every second counts — and every automated containment action improves the overall score.

The ARI is expressed on a 0–10 scale, where 10 represents instant, fully automated containment within 0 seconds. It combines key performance indicators such as:

• Containment Success Rate (CSR): the percentage of threats neutralized before reaching users.
• Autonomous Containment Efficiency (ACE): the share of mitigation handled automatically by AI or SOAR systems or Human.
• Mean Time to Neutralization (MTTN): the average time, in seconds, between detection and complete elimination of a threat.

This model shifts cybersecurity measurement from reactive to proactive — from counting clicks to measuring resilience. It provides executives and SOC leaders with a clear, quantitative indicator of how mature and self-defending their digital ecosystem truly is.

In the AI-human alliance, resilience is not about avoiding mistakes — it’s about how quickly systems recover, adapt, and protect. The Automated Resilience Index captures that reality and sets a new benchmark for organizations striving to build a secure, intelligent, and autonomous defense posture.