Hunton Insurance Recovery Blog

As conference and national tournaments approach for various sports, college athletics are entering a financially volatile stretch of the year. Individual investors and NIL collectives are preparing to make significant investments to build next year’s rosters and secure talent from transfer portals. With those investments, however, comes a substantial risk of loss. The risk of athlete injury looms larger than most. A season‑ending injury can derail not only a team’s performance, but also the financial expectations tied to an injured athlete. That uncertainty can, in turn, discourage future NIL investments. Booster insurance has emerged as a tailored solution to address this exact risk.

Colleges and universities have long sat at the crossroads of freedom of expression and societal change. As campus activism surges, they face growing pressure to protect their institutional missions while upholding students’ individual rights in an era of heightened scrutiny.

Like other policyholders, hard insurance market trends, aggravated by cybersecurity risks, climate change, and COVID-19, have hit higher education policyholders, yielding reduced or limited coverages for increased premiums. These conditions – reduced coverages and higher premiums – are symptoms of a “hard” insurance market. (A hard market is caused by a mismatch between policyholders’ waxing demand for coverage and insurers’ waning risk appetite.) But higher education policyholders face unique risks that exacerbate existing market conditions, including:

In its third quarter report, insurer Beazley reported a nine-fold increase in social engineering attacks (i.e., deception-based fraud/crime) as compared to the same time last year.  So far, the majority of social engineering attacks in 2017 were focused on the professional services sector (18%), followed by financial institutions (9%), higher education (9%) and healthcare (3%).  The report also notes continued high rates of unintended disclosure via employee negligence across all sectors (29%), second only to affirmative hacking or malware attacks (34%).