Potential terrorist cells were identified only after an attack occurred.

Early detection of extremist communications prevented a planned attack, saving lives.

Supply‑chain disruptions went unnoticed until product shortages emerged.

Proactive risk modeling flagged vulnerable suppliers, allowing contingency plans to be enacted.

Cyber intrusion alerts were missed due to data overload.

Automated correlation reduced false positives, enabling rapid response to genuine threats.

Regional political instability was assessed qualitatively.

Quantitative scoring provided actionable forecasts for diplomatic teams.

Financial fraud patterns were detected late.

Pattern‑recognition algorithms uncovered laundering schemes early, leading to asset recovery.