"Today's "AI everywhere" reality is woven into everyday workflows across the enterprise, embedded in SaaS platforms, browsers, copilots, extensions, and a rapidly expanding universe of shadow tools that appear faster than security teams can track. Yet most organizations still rely on legacy controls that operate far away from where AI interactions actually occur. The result is a widening governance gap where AI usage grows exponentially, but visibility and control do not."
"The guide surfaces an uncomfortable truth: AI adoption has outpaced AI security visibility and control by years, not months. AI is embedded in SaaS platforms, productivity suites, email clients, CRMs, browsers, extensions, and even in employee side projects. Users jump between corporate and personal AI identities, often in the same session. Agentic workflows chain actions across multiple tools without clear attribution."
AI is embedded across enterprise workflows — in SaaS platforms, productivity suites, email clients, CRMs, browsers, extensions, and employee side projects — creating pervasive, distributed interactions. Security teams lack reliable inventories of AI usage and cannot track prompts, uploads, identities, or automated agentic workflows. Legacy security controls function away from where AI interactions occur, leaving an architectural visibility and control gap. AI risk manifests through interactions and chained actions across multiple tools rather than solely as a data or application problem. Enterprises must balance enabling innovation with governance, compliance, and security by implementing controls at the point of AI interaction.
Read at The Hacker News
Unable to calculate read time
Collection
[
|
...
]