From the College Athletics edition of October 7, 2026
NCAA 2025/26 Threat Matrix report: AI flagged 61,724 messages, analysts verified 7,666 as abusive, and 4 cases went toward law enforcement
Signify Group for the NCAA · Student-athlete online safety and sports-betting harassment monitoring · United States (national NCAA championships)
- Publisher
- NCAA (report by Signify Group)
- Original publication
- Posted October 1, 2026 (file date)
- Source retrieved
- 2026-10-08
What happened
Across nine sports in 2025/26, Threat Matrix scanned 977,457 messages mentioning monitored accounts; AI flagged 61,724 for analyst review, and 7,666 were verified abusive and reported to platforms, about one in eight flags. Basketball accounted for 6,758 verified posts. Signify investigated 127 accounts, identified 18 users and recommended 4 cases for law enforcement referral. Abuse attributable to gamblers rose to 7.9% from 2.2% the prior year, and the report says AI image editing adds to sexualized abuse of female athletes.
Why it matters
Why now: the 2025/26 report was posted Oct 1, 2026 and succeeds the archived 2024/25 report with a third year of data, expanded coverage and new betting-attribution analysis. It is one of the few athletics AI deployments that publishes its funnel from AI flags to verified cases.
Evidence and measured results
Annual report by the monitoring vendor, published on the NCAA site. Counts by sport for messages, AI flags reviewed by analysts, and verified abuse; investigation and referral counts; year-on-year comparisons with category changes noted. Publication date inferred from the file's server and document metadata (Oct 1, 2026). No independent audit, no false-negative estimate, and recall cannot be assessed.
Limitations and uncertainty
Vendor-produced; measures only public posts on monitored accounts during championships; category definitions changed year to year; no false-negative or accuracy audit; publication date inferred from file metadata.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-07; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- Athletes face online abuse and betting-related threats, and departments lack a clear process to act on monitoring results.
- Stakeholders
- Senior woman administrator and athlete welfare staff
- Compliance director
- Campus police and event security
- Conference office
- Mental health providers
- Discovery questions
- Who receives abuse or threat alerts about your athletes today?
- How are affected athletes contacted and supported?
- When are campus police involved?
- Do you monitor regular-season events?
- Value hypothesis
- A defined response process may turn monitoring alerts into timely athlete support and appropriate referrals.
- Potential engagement
- An online-safety alert response review and tabletop exercise for one department or conference.
- Unsupported claims
- Detection of all abuse
- Reduction in abuse caused by monitoring
- Independent accuracy audit
- Regular-season coverage
Pre-sales engineering
Role takeaway
- Fit
- Conferences and departments considering social-media abuse monitoring for athletes.
- Architecture and integration
- Vendor AI scanning of public social posts, analyst review, and case packs delivered to the NCAA.
- Prerequisites
- List of monitored accounts with consent
- Alert routing to staff
- Case tracking
- Constraints
- Public posts only
- Championship-period scope
- Platform policy changes affecting visibility
- Security
- Protect case packs containing identity information; restrict and log access; set retention.
- Proof of value
- Flags, confirmed cases and analyst hours reported per event
- Sample audit of unflagged messages
- Time from confirmed case to athlete contact
Delivery
Role takeaway
- Work
- Connect monitoring outputs to campus athlete welfare and security processes.
- Dependencies
- NCAA or conference monitoring program
- Campus police
- Welfare and mental health staff
- Ownership
- Athlete welfare lead with compliance and campus police.
- Skills and adoption
- Train staff to read case packs and to support athletes after abuse.
- Governance checkpoints
- Referral thresholds agreed
- Athlete consent for account monitoring
- Season review of cases and outcomes
- Acceptance criteria
- Proposed: every confirmed case involving a school's athlete reaches a named staff member within a set time
- Proposed: outcomes recorded for all referred cases
- Risks
- Case packs not acted on
- Privacy harm from unmasking errors
- Athletes unsupported after abuse
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
AI detection over public social posts in 56 languages, followed by analyst review, OSINT investigation and case packs. Interpretation: the 61,724-to-7,666 funnel shows the human review load any athletics AI flagging system creates.
Governance
Who approves, reviews and stays accountable for outcomes?
Case packs and law-enforcement referrals involve identifying individuals; NCAA and schools need thresholds, evidence standards and athlete-welfare follow-up for each step.
Security and privacy
What data, permissions and controls need testing?
Monitoring and unmasking accounts uses open-source intelligence on members of the public; retention and sharing of identity data with schools and law enforcement need clear rules.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Confirmed cases create work for welfare, compliance and security staff; analysts carry the review load on the vendor side.
Procurement
What should contracts, pricing and exit terms secure?
Ask monitoring vendors for flag-to-verified funnels, language coverage, recall audits and data-sharing terms.
Operating model
Which teams own the service once it runs?
AI monitoring feeds human investigation and campus response, so campus staffing determines the real-world effect.
Publication history
- 2026-10-07College Athletics · Issue 314 resources
Stable resource ID: ncaa-signify-threat-matrix-2025-26-report