🟡 Medium | Source: The Hacker News
Traditional SASE architectures rely on packet and traffic inspection via cloud proxies, but this approach is increasingly blind to threats originating inside SaaS apps, browsers, and generative AI tools. Employees routinely share sensitive data — including intellectual property — with unsanctioned AI tools and browser extensions that operate entirely within encrypted sessions SASE cannot see inside. As enterprise workflows shift to browser-native and AI-assisted patterns, the existing inspection model has a growing visibility gap.
Security Architect’s Take: Complement your SASE stack with browser-native security controls — such as enterprise browsers or browser security platforms — that can enforce policy at the point of data entry, including clipboard actions, file uploads, and AI tool interactions. Audit sanctioned vs. unsanctioned AI tool usage across your organisation and consider data loss prevention (DLP) policies that operate at the browser layer rather than relying solely on network-level inspection.
Original advisory: SASE Has An AI Blind Spot. Inspecting Packets Is No Longer Enough.