Rhyne's attack involved unauthorized remote desktop sessions, deletion of network administrator accounts, and changing of passwords, showcasing significant security vulnerabilities.
Never feel that you are totally safe. In July 2025, one company learned the hard way after an AI coding assistant it dearly trusted from Replit ended up breaching a "code freeze" and implemented a command that ended up deleting its entire product database. This was a huge blow to the staff. It effectively meant that months of extremely hard work, comprising 1,200 executive records and 1,196 company records, ended up going away.
The breakneck pace of AI deployment across enterprises is creating a monumental challenge for executives and company boards. In contrast to traditional IT systems, AI data and related ecosystems, which encompass everything from LLM models and training data to custom prompt data, have emerged as valuable intellectual property. They often represent millions of dollars in investment and months or even years of engineering effort.
Ad fraud isn't just a marketing problem anymore - it's a full-scale threat to the trust that powers the digital economy. In 2024 alone, fraud in mobile advertising jumped 21%, while programmatic ad fraud drained nearly $50 billion from the industry. During data privacy week 2026, these numbers serve as a reminder that ad fraud is not only about wasted budgets - it's also about how consumer data moves, gets tracked, and sometimes misused across complex ecosystems.
Traditional IAM and IGA systems are designed primarily for human users and depend on manual onboarding and integration for each application - connectors, schema mapping, entitlement catalogs, and role modeling. Many applications never make it that far. Meanwhile, non-human identities (NHIs): service accounts, bots, APIs, and agent-AI processes are natively ungoverned, operating outside standard IAM frameworks and often without ownership, visibility, or lifecycle controls.
