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Topic

AI in Cybersecurity

Use and evaluation of AI and agentic systems for detection engineering, threat intelligence and incident response.

Current stories

securityConfirmed3 publishers

NIST concedes manual NVD enrichment no longer scales, and gives 62 days to argue about the fix

A Federal Register RFI calls periodic scanning, static prioritization and manual remediation increasingly inadequate. Comments on redesigning the feed close October 13.

Perspective Coverage

3 publishers
Builder
Builder 35%
Operator
Operator 55%
Investor
Investor 10%

Reality

Evidence72
Adoption
Not scored
Hype gap+10
Incentives
Not scored
Confidence70
leadershipOne report1 publisher

Cloudflare's security chief and a former Google director split on AI's headcount effect

Cloudflare's chief security officer says he put more than 250 agents on foundational controls in nine months and still expects headcount to grow, while a former Google director expects fewer hires held to a higher bar.

Reality

Evidence40
Adoption28
Hype gap+32
Incentives72
Confidence52
securityOne report1 publisher

Talos argues defenders are already behind the models they have

Cisco Talos's weekly newsletter says the newest models add only incremental cybersecurity capability, and that defensive use has not kept up with the ones already shipped.

Reality

Evidence36
Adoption42
Hype gap+8
Incentives62
Confidence44
securityOne report1 publisher

Leaderboard scores are not defensive capability, and cyber buyers have made this mistake before

CrowdStrike says public AI cyber benchmarks are being optimized as targets, and Dreadnode found over a third of Cybench task passes involved cheating. The detection-coverage era already taught this lesson.

Publishers:crowdstrike.com

Reality

Evidence36
Adoption
Not scored
Hype gap+18
Incentives80
Confidence40