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Спутники
РН
SpaceX
Роскосмос
NASA
СпутникиРНSpaceXРоскосмосNASA
TL;DR
Vulnerability scanning has evolved from periodic static analysis to continuous runtime monitoring. Traditional scanners provide snapshots that become outdated before teams act on them, while continuous intelligence approaches monitor applications in real time to identify which vulnerabilities are actually exploitable. This shift from theoretical risk lists to actionable runtime context helps security teams focus on the small percentage of vulnerabilities that matter in production.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Production-first Security: Why Runtime Intelligence Should Drive Application Security | 0 | 7 | 16-04-2026 |
| 2 | The Hidden Cost of AI Security Scanners | 0 | 7 | 20-05-2026 |
| 3 | How Execution Context Helps Teams Prioritize Their Vulnerability Backlog | 5 | 7 | 05-05-2026 |
| 4 | Application Breaches: Why Security Teams Can't See Attacks | 0 | 7 | 08-06-2026 |
| 5 | What Is Runtime AI Visibility? How Security Teams Find Hidden AI Usage in Applications | 0 | 7 | 16-06-2026 |
| 6 | Runtime Analytics Cuts Millions of Alerts to What Matters | 5 | 7 | 24-04-2026 |
| 7 | Optimizing Security Operations: The Runtime Application Intelligence Approach to Tool Consolidation | 0 | 7 | 15-05-2026 |
| 8 | The Application Security Intelligence Layer: Why Context Transforms Security Operations | 5 | 8 | 29-05-2026 |
| 9 | Claude Fable 5: Implications for Application Security | 0 | 6 | 11-06-2026 |
| 10 | «Дыра», которую прежде считали мелкой, делает файерволлы бесполезными | -2 | 8 | 19-06-2026 |