---
id: "claim-ai-increases-attack-ferocity"
type: "claim"
source_timestamps: ["¶5"]
tags: ["ai-impact", "threat-assessment"]
related: ["concept-ai-fueled-threat-escalation"]
confidence: "high"
testable: true
sources: ["governance"]
sourceVaultSlug: "hbr-seg-governance"
originDay: 7
articleStem: "hbr-sig-57-smb-cyber-risk"
sourceUrl: "https://hbr.org/2026/06/ai-is-changing-cyber-risk-heres-how-smbs-can-respond"
sourceTitle: "AI Is Changing Cyber Risk. Here’s How SMBs Can Respond."
---
# AI increases the volume and ferocity of cyberattacks

**Claim:** The advent of AI has directly increased both the *number* and the *ferocity* of cyberattacks, giving bad actors more diverse vectors to attack a wider range of companies. This claim is the empirical spine of [[concept-ai-fueled-threat-escalation]].

**Source confidence:** high. **Testable:** yes.

> [!check] Enrichment validation — WELL-SUPPORTED (with a caveat)
> Multiple 2026 threat reports describe AI as a force multiplier for attackers: Palo Alto Unit 42 (compressed attack lifecycle, greater scale, simultaneous attacks); CrowdStrike 2026 Global Threat Report (force multiplier + new attack surface); IBM X-Force (44% rise in public-facing-application exploitation, AI helping attackers find weaknesses faster); statistical summaries citing AI-driven attacks in the tens of millions annually plus surging DDoS/deepfake/automated campaigns. **Caveat:** reports measure speed/automation/scale, not "ferocity" (interpretive), and stress that AI mostly *amplifies* basic security gaps rather than creating an entirely new landscape. The sub-claim about the specific [[entity-anthropic-mythos-fable|"Mythos 5"/"Fable 5"]] disablement is **unsupported / likely fictional**.


## Related across articles
- [[claim-ai-revolutionizes-threats]]
- [[concept-ai-weaponization]]
- [[claim-cybercrime-losses-increasing]]