30 秒でわかる
Kurtz argues that AI can broaden attackers’ capabilities and make attribution harder as tactics evolve.
- 1Threat categoriesKurtz describes three broad categories.
- 2Broader capabilitiesHe argues AI can lower barriers.
- 3DetectionHe predicts slower attacks may be harder to identify.
ポイント
- Kurtz outlines attacker categories.
- He believes AI lowers capability barriers.
- He expects some AI-assisted attacks to become harder to distinguish.
チャプターごとに整えた全文を読む
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.
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.
同じチャンネルの記事
38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月29日ポッドキャスト · 3 人Serval’s Jake Stauch on coding agents for enterprise ITゲスト Jake Stauch · ホスト 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.
39:23ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月15日ポッドキャスト · 2 人The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurityホスト 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.
1:04ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月14日ポッドキャストWalter Goodwin on the Slow Steps in Chip Designゲスト Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日ポッドキャスト · 2 人10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledgerホスト 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.
35:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日ポッドキャスト · 2 人Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratioホスト 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.
1:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年9月29日ポッドキャストMichael Lee on Incentives in Services and Softwareゲスト Michael LeeA short critique of how business incentives shape technology adoption.