Scoped Identity
Scoped Identity on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on scoped identity in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around scoped identity, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Multi-turn attacks broke AI models 88% of the time — single-turn testing missed it, Cisco AI security lead warns at VB Transform 2026
Recent research reveals a concerning vulnerability in AI models: multi-turn attacks exploit conversational adaptability, succeeding 88.3% of the time – a rate single-turn testing completely misses. Cisco’s AI security lead, Amy Chang, highlighted this critical finding at VB Transform 2026, emphasizing the need to move beyond snapshot evaluations. With over half of enterprises experiencing agent security incidents, robust, continuous testing mimicking real-world adversarial interactions is paramount. As Box's CISO Heather Ceylan stated, "You have to pressure test your agents."
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
More than half of enterprises (54%) have already experienced a confirmed agent security incident or a near-miss, revealing a concerning gap between AI agent autonomy and the controls designed to contain them. Across 107 organizations, agents are gaining access to sensitive systems while security lags, with only a third providing each agent a unique identity and limited isolation of high-risk agents.
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
More than half of enterprises (54%) have already experienced an AI agent security incident or near-miss, highlighting a critical gap between agent autonomy and effective controls. Across 107 organizations, agents are gaining access to sensitive systems while security measures lag, with only a third providing each agent a unique, scoped identity. This VentureBeat Pulse Research reveals that the security stack predominantly relies on borrowed solutions from model providers, leaving a significant vulnerability as AI-enabled attacks evolve.