George Kurtz on How AI May Change Cyberattacks

The CrowdStrike CEO describes his assessment of evolving threats.

GKGeorge KurtzInvitado · CrowdStrike
Canal
No Priors: AI, Machine Learning, Tech, & Startups
Publicado
27 oct 2026
Vídeo
1:07
Lectura
1 min
Original
inglés
Abrir en YouTube
Al desplazarte, el vídeo se reduce a la esquina inferior derecha y sigue reproduciéndose. Los subtítulos siguen tu idioma de lectura.
Idioma de lecturaDisponible en 2 idiomas
Este artículo aún no está en español, así que se muestra el original en inglés.
RESUMEN

En 30 segundos

Kurtz argues that AI can broaden attackers’ capabilities and make attribution harder as tactics evolve.

  1. 1Threat categoriesKurtz describes three broad categories.
  2. 2Broader capabilitiesHe argues AI can lower barriers.
  3. 3DetectionHe predicts slower attacks may be harder to identify.

Conclusiones

  1. Kurtz outlines attacker categories.
  2. He believes AI lowers capability barriers.
  3. He expects some AI-assisted attacks to become harder to distinguish.
TEXTO COMPLETO

Lee el texto editado por capítulos

Solo la transcripción
01

A hierarchy of attackers

CrowdStrike CEO George Kurtz describes a hierarchy of attackers: hacktivists, cybercriminal groups and nation-state actors.

CrowdStrike CEO George Kurtz describes a hierarchy of attackers: hacktivists, cybercriminal groups and nation-state actors.

02

The claimed shift

Kurtz argues that AI is changing this hierarchy by making capabilities previously associated with well-resourced actors available more broadly. He calls this emerging threat the “agent state.”

Kurtz argues that AI is changing this hierarchy by making capabilities previously associated with well-resourced actors available more broadly. He calls this emerging threat the “agent state.”

He reports seeing more vulnerabilities discovered and faster attack iteration. He warns that slower AI-assisted attacks may eventually be harder to distinguish from other activity. These are his assessments.

Más de este canal

38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 29 oct 2026Pódcast · 3 vocesServal’s Jake Stauch on coding agents for enterprise ITInvitado: Jake Stauch · Presenta: Sarah Guo, Elad GilStauch explains why Serval is challenging ServiceNow, how it approaches permissions and approvals, and why background agents remain difficult to deploy safely.IA empresarialAgentes de programaciónWorkflow automation+2
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 oct 2026Pódcast · 2 vocesThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityPresenta: Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.SeguridadAI securitySeguridad y gobernanza+3
1:04EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 oct 2026PódcastWalter Goodwin on the Slow Steps in Chip DesignInvitado: Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.SemiconductorsAI cost & performance
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2026Pódcast · 2 voces10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerPresenta: Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.Código abierto y comunidadOpen-weight modelsReinforcement Learning+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 oct 2026Pódcast · 2 vocesCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioPresenta: Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.Infraestructura y despliegueInferenceAI cost & performance+3
1:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 29 sept 2026PódcastMichael Lee on Incentives in Services and SoftwareInvitado: Michael LeeA short critique of how business incentives shape technology adoption.