AI Cyber Defense / Network edge and segmentation
AI Cyber Defense: Use application-aware egress without trusting port numbers
Permit required destinations and service identities through a controlled egress path. Stage policies in observe mode and maintain an exception owner for legitimate dependencies.
Environment and inputs: Enterprise routers, switches, firewalls, VPNs and workload segmentation; use syntax and features supported by the deployed platform.
Scenario and goal
A connection on an allowed port may carry an unexpected service or destination used by an intruder.
Why it matters
For this scenario, assume discovery can enumerate alternate listeners, address families and routes repeatedly. Define the boundary as permitted communication between named roles, rather than physical network location alone. Separate management, control and application traffic when reviewing the effect of a change. Encryption protects a transport relationship but does not establish that its peer should reach every destination behind it.
Evidence to collect
Correlate proxy metadata, flow records, DNS answers and process identity when available; encryption may limit payload visibility.
Validate with an authorized exercise
Run known-good application requests and a harmless unapproved destination test; confirm correct policy decisions and enough context to explain each denial.
Rollout and checks
Export the effective policy and routes before a change and confirm a tested recovery channel. Apply the narrowest change to a representative test segment first. Measure permitted application transactions and forbidden reachability after deployment, including alternate paths. Review deny counters with source and destination context before concluding that a policy is correct or safe to broaden.
Scope and limits
This guide proposes a defensive test; it is not a tested production design. Check platform support and local requirements. References explain the mechanisms but do not certify the design. Behavior alone does not prove AI involvement.