Decision Insights Coverage

NSS Labs’ two-part series says enterprise AI security evaluations must extend beyond model protection to runtime guardrails, governance, and auditable controls.

Preliminary AIRQ findings of 100 enterprise AI agents cite a shared “lethal trifecta” and say ~11% qualify as “fortified leaders.”

The post argues that AI will outpace patching and urges data-centric access controls to manage exposure while fixes are pending.

The blog uses Abraham Wald’s WWII “bullet holes” parable to argue AI security audits can miss catastrophic unmonitored risks.

The post argues provider native AI guardrails fail SecOps needs and outlines reasons to run enterprise guardrails such as Netskope One AI Guardrails.

Zero trust is presented as an operational model, with user, identity, and data sprawl cited as barriers to implementation.