Notifications
Clear all
Topic starter
02/08/2026 11:44 am
TL;DR: Backhauling sessions through distant SASE PoPs creates latency, failover fragility, and blind spots for SaaS and AI workflows because enforcement still happens after the interaction has already occurred, according to Island. The architectural shift is toward policy at the point of work, where identity, context, and intent are visible before data moves.
NHIMG editorial — based on content published by Island: Why SASE Backhauling Falls Short for Modern Work
Questions worth separating out
Q: How should security teams govern AI tools that connect to SaaS data?
A: Treat each AI tool as a non-human identity with an owner, a defined scope, and an expiry path.
Q: Why do distant SASE inspection points create operational and security risk?
A: Distant inspection points add latency, increase failover complexity, and force more exceptions just to keep critical applications usable.
Q: What breaks when policy is enforced only after traffic leaves the device?
A: What breaks is visibility into intent.
Practitioner guidance
- Reduce mandatory backhauling for routine SaaS use Keep traffic direct where the risk is low and reserve cloud inspection for sessions that truly require deeper analysis, failover support, or policy escalation.
- Evaluate identity and context at the point of interaction Use identity, device posture, location, session state, and application context as inputs before a user copies data, submits a prompt, or moves content between tenants.
- Treat AI workflows as interaction-layer events Review how prompts, outputs, and app-to-app actions are governed in browser and endpoint policy rather than assuming network visibility will reveal intent.
What's in the full article
Island's full blog covers the operational detail this post intentionally leaves for the source:
- Architecture diagrams showing how point-of-work enforcement differs from PoP backhauling in practice
- Examples of how browser, endpoint, and SaaS policy execution can be unified without forcing every session through a proxy
- Detailed discussion of latency, failover behaviour, and TLS inspection constraints in modern encryption environments
- Operational framing for how contractor access, BYOD, and AI workflows fit into a point-of-work model
👉 Read Island's analysis of why SASE backhauling falls short for modern work →
SASE backhauling and the governance gap at the point of work?
Explore further
02/08/2026 12:55 pm
Policy at the point of work is the more accurate governance model for modern enterprise security. The article describes a structural mismatch between where sessions are inspected and where work is actually performed. That mismatch is especially relevant for IAM and NHI programmes because identity, context, and session state are most useful when they are evaluated before data leaves the device. The practical conclusion is that transit-layer control can support policy, but it cannot remain the primary decision point.
A question worth separating out:
Q: How should organisations decide when to keep traffic direct versus inspect it?
A: Organisations should inspect selectively, not by default. Use deeper inspection when the session is high risk, the application is sensitive, or the environment needs centralised routing and resilience. Keep low-risk, well-governed work direct so performance stays usable and policy exceptions do not become the normal operating model.
👉 Read our full editorial: SASE backhauling falls short when enforcement misses the interaction layer
