The execution of mass-casualty attacks has historically been more constrained by extremists’ capability than by their motivation. Wanting to cause mass harm requires no specialised knowledge, whereas planning and carrying out an attack does. PCVE practitioners have been sounding the alarm that frontier AI models are beginning to close the gap between intent and expertise. Trained on humanity’s technical corpus […]
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | The Counterterrorism Blind Spot: AI as a Radicalisation Environment | 0 | 10.42 | 09-07-2026 |
| 2 | Why frontier AI must be stress-tested before CISOs trust it | 0 | 5 | 26-06-2026 |
| 3 | Why CTFs Are Becoming a Critical Measure of AI Readiness | 0 | 5 | 17-06-2026 |
| 4 | Speed where it's safe, caution where it might kill: How the Pentagon should use AI | 0 | 5 | 01-07-2026 |
| 5 | Emerging Extremism Frameworks: Reexamining the 2023 Siam Paragon Attack in Context | 0 | 12.41 | 29-06-2026 |
| 6 | AI’s Environmental Footprint is a Gendered Security Risk | -2 | 7 | 12-05-2026 |
| 7 | Global Interest in AI Exploited as Social Engineering Lure | 0 | 5 | 10-06-2026 |
| 8 | Why embodied AI security extends beyond the robot | 0 | 8.26 | 24-07-2026 |
| 9 | Spy agencies say AI can help combat AI cyber risks. But don’t forget the basics | 0 | 6 | 24-06-2026 |
| 10 | Between Meme Culture and Warning Behaviour: Interpreting Nihilistic Violence Aesthetics in Online Extremist-Adjacent Spaces | 0 | 11.24 | 13-07-2026 |