Cross-Sector entity
threat-intel is the sole category represented across all 1 tracked stories. Artificial Intelligence is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. Delphine Schantz appears in 1 tracked Cross-Sector story from July 22, 2026. The tracked stories average 2 original sources each.
1 verified story tracked
Last mentioned: Jul 22, 2026
Entity pulse
Coverage balance Negative coverage leads. Negative coverage exceeds positive coverage by 100 percentage points.
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
threat-intel is the sole category represented across all 1 tracked stories. Artificial Intelligence is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. Delphine Schantz appears in 1 tracked Cross-Sector story from July 22, 2026. The tracked stories average 2 original sources each.
Computed from the 1 stories linked to this entity. Beat comparisons are omitted because no baseline was available for this window.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering Delphine Schantz. Shared-story counts are live from our verified record — not editorial picks.
UNODC Releases Damning Report
The United Nations Office on Drugs and Crime publishes a comprehensive report detailing the scale, AI-driven methods, human trafficking links, and corporate-style structure of cross-border scam networks.
Record Scam Losses Incurred
Online scam operations in the Asia-Pacific cause an estimated $88.3–$114.1 billion in financial losses.
The UNODC reveals that transnational cybercriminal gangs defrauded victims of up to $114B in the Asia-Pacific region in 2025, leveraging AI and a franchising model to scale operations. This report serves as a critical wake-up call for cybersecurity teams to adapt to rapidly evolving scam tactics and cross-border coordination.
Source: malaysiasun.com · arabherald.com
