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ENISA: Frontier AI Is Changing the Speed of Cyberattacks. Europe Needs to Catch Up

Security Affairsby Pierluigi Paganini ()5 min read5 · 1 read
AI summary · glm-5.3Summaries by Vani AI

ENISA warns frontier AI compresses attack lifecycles to minutes, with exploits possible within 15 minutes of disclosure and median 72-minute breach-to-exfiltration times.

ENISA's July 2026 paper 'ENISA's view on Cybersecurity in the Frontier AI Era' argues AI-assisted attackers may weaponize vulnerabilities within 15 minutes of disclosure and achieve initial-access-to-data-exfiltration in a median 72 minutes, creating a 'negative time-to-exploit' problem. The report cites one organisation whose CVE volume rose from roughly 80 in Q1 2025 to almost 500 in Q1 2026, then about 500 reports per day when frontier-AI tools were used. ENISA recommends machine-speed defence under 'Cybersecurity as Code', EPSS and VEX-based prioritisation, AI-assisted incident response with human oversight, and an assume-breached architecture.

Key facts
  • AI could weaponize vulnerabilities within 15 minutes of disclosure, before patches deploy
  • Median time from initial access to data exfiltration cited at 72 minutes
  • One organisation saw CVE reports jump from ~80 per quarter to ~500 per day
  • AI-generated vulnerability reports are overwhelming open-source triage pipelines
  • ENISA urges 'Cybersecurity as Code' and EU cyber-range benchmarks for AI models
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From the original article

5 min read at securityaffairs.com

Frontier AI is compressing the attack lifecycle from vulnerability discovery to exploitation, forcing defenders to detect, patch and respond at machine speed. Cybersecurity has always been a race between attackers and defenders. ENISA’s latest assessment suggests that frontier AI is changing the speed of that race, and the gap between discovering a vulnerability and exploiting […]

Security Affairs

By Pierluigi Paganini · securityaffairs.com

Read the full article at Security Affairs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.