The point: Traditional SASE inspection methods can no longer effectively prevent data exfiltration and abuse in AI-powered SaaS and browser environments.
Cloud proxies and traditional packet inspection are losing their protective effect against modern enterprise workflows with AI tools and browser-based applications. SASE architectures must fundamentally rethink their control mechanisms.
Enterprise workflows are no longer bound to classic network perimeters. They are distributed across SaaS applications, browser environments, and a growing ecosystem of generative AI tools, unauthorised browser extensions, and autonomous agents. Employees routinely input business data and intellectual property into these tools—actions that traditional packet inspection methods cannot effectively control.
The traditional SASE model is based on routing data traffic through cloud proxies and inspecting it at the network level. This concept was developed when enterprise applications ran on data centre servers and access occurred through a few, controllable entry points. It no longer works in a world where data is entered into SaaS platforms, AI applications, and browser-based workflows before it even leaves the network.
For CISOs, this represents a critical visibility gap: An employee can copy and paste sensitive data into OpenAI, Claude, Copilot, or an unsanctioned AI application. Packet inspection tools may not see the data flow at all, or may not be able to understand it at the content level because the data already exists encrypted in the browser context. Similarly difficult to detect are unauthorised extensions or agents that continuously exfiltrate data.
For an effective security posture, enterprises must extend their control strategies to include visibility at the browser and application level—not just at the network level. This means: logging user actions in cloud applications, API controls for AI platforms, and detection of suspicious behaviour in end-to-end encrypted channels where packet inspection methods are blind.
Source: thehackernews.com · Published 15 July 2026
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