aisecurity.llc
The Telemetry Blind Spot
AI logging scores 1.4/5 in practitioner surveys — the single lowest-rated control category. arXiv puts only 2.45% of papers in detection and runtime monitoring — the second-lowest research bucket. In media, AI cyber defense barely registers. This is a four-signal convergence: the domain of AI monitoring and detection is simultaneously the lowest-maturity control, the least-researched academic area, and the least-covered media topic. You cannot respond to incidents you cannot detect. The industry is building attack surface faster than it is building monitoring infrastructure.
Detection and monitoring deficit
What this finding measures
AI logging scores 1.4/5 in practitioner surveys — the single lowest-rated control category. arXiv puts only 2.45% of papers in detection and runtime monitoring — the second-lowest research bucket. In media, AI cyber defense barely registers. This is a four-signal convergence: the domain of AI monitoring and detection is simultaneously the lowest-maturity control, the least-researched academic area, and the least-covered media topic. You cannot respond to incidents you cannot detect. The industry is building attack surface faster than it is building monitoring infrastructure.
AI logging control maturity (survey)
1.4/5 — lowest rated
Chart targets
- chart_survey_control_maturity
- chart_external_arxiv_bucket_share_by_year
- chart_external_media_bucket_distribution
- chart_external_vulnerabilities_per_month
Active filters: period=all, industry=all, seniority=all
Evidence charts
Current chart outputs for this finding
AI Security Control Maturity — Leadership Self-Assessment
No rows matched current filters or export rows are not populated yet.
External Signals
arXiv Bucket Share by Year
Classification-bucket composition over time as annual share of seeded pulls.
Chart ID: chart_external_arxiv_bucket_share_by_year
Source: public.data.external.arxiv.metrics.monthly
Caption: Annual composition share by deterministic classification bucket.
Chart caveat: Classification is deterministic over title, abstract, and categories and should be interpreted as directional.
Deck note: Use this to show topic-composition drift rather than absolute volume.
External Signals
Media Content by Taxonomy Bucket
Distribution of media items across AI security themes.
Spec title: chart_external_media_bucket_distribution
Chart ID: chart_external_media_bucket_distribution
Source: public.data.external.media.insights
Caption: Theme distribution of classified media/news items.
Chart caveat: Media classification is deterministic and directional; high-volume outlets can skew composition.
Deck note: Use composition drift, not maturity claims.
External Signals
AI Vulnerabilities by Month
Monthly volume of AI-relevant vulnerability disclosures (NVD, GHSA, OSV).
Spec title: chart_external_vulnerabilities_per_month
Chart ID: chart_external_vulnerabilities_per_month
Source: public.data.external.vulnerabilities.metrics.monthly
Caption: Monthly trend of AI-relevant vulnerability disclosures.
Chart caveat: Directional external signal from public-source aggregation; not proof of any individual organization's internal security maturity.
Deck note: Frame as directional signal evidence layer, not maturity proof.
Recommended actions
What leaders should do next
Browse the full citation library for supporting research and source quotes.
Evidence library →