TL;DR
Security teams face two compounding problems: overwhelming alert volume and insufficient context to act on them. An application security intelligence layer solves both by enriching alerts with runtime context and correlation. It shows not just that something happened, but what it means and whether it matters. The result: faster triage, fewer false positives and security analysts focused on the 0.57% of attacks that represent genuine risk rather than chasing noise.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Optimizing Security Operations: The Runtime Application Intelligence Approach to Tool Consolidation | 0 | 7 | 15-05-2026 |
| 2 | Application Breaches: Why Security Teams Can't See Attacks | 0 | 7 | 08-06-2026 |
| 3 | Runtime Analytics Cuts Millions of Alerts to What Matters | 5 | 7 | 24-04-2026 |
| 4 | How Execution Context Helps Teams Prioritize Their Vulnerability Backlog | 5 | 7 | 05-05-2026 |
| 5 | What Is Runtime AI Visibility? How Security Teams Find Hidden AI Usage in Applications | 0 | 7 | 16-06-2026 |
| 6 | Vulnerability Scanning Tools Evolution: From Point-in-Time to Continuous Intelligence | 0 | 8 | 22-06-2026 |
| 7 | Production-first Security: Why Runtime Intelligence Should Drive Application Security | 0 | 7 | 16-04-2026 |
| 8 | The Hidden Cost of AI Security Scanners | 0 | 7 | 20-05-2026 |
| 9 | Claude Fable 5: Implications for Application Security | 0 | 6 | 11-06-2026 |
| 10 | Безопасность на скорости кода: ИИ-триаж и кодфикс в Solar appScreener 3.16 в 10 раз увеличивают емкость команды AppSec | 5 | 7 | 24-06-2026 |