AI Cyber Defense / Network edge and segmentation
AI Cyber Defense: Review firewall exceptions with observed business use
Replace broad exceptions with observed and owner-validated dependencies, then retire the original through a monitored change window.
Environment and inputs: Enterprise routers, switches, firewalls, VPNs and workload segmentation; use syntax and features supported by the deployed platform.
Scenario and goal
Temporary broad permits often survive because no one can explain whether their traffic is still required.
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
Join rule identifiers, hit counters, flow destinations, service ownership and exception expiry; account for rare scheduled jobs.
Validate with an authorized exercise
Run representative application and scheduled-job fixtures after narrowing the test policy; verify the former broad rule receives no required traffic before its removal.
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.