AI Cyber Defense / Endpoint, lateral movement and ransomware defense
AI Cyber Defense: Use application allowlisting with a realistic maintenance path
Stage supported application control policy and protect trusted directories from user writes. Define how new approved software is reviewed without a broad permanent bypass.
Environment and inputs: Managed Windows and Linux endpoints, EDR telemetry, remote administration, file services and protected recovery systems.
Scenario and goal
An allowlist can reduce opportunistic execution but fail operationally if administrators must disable it for routine work.
Why it matters
For this scenario, expect an attacker to vary scripts and executable packaging while reusing valid accounts and ordinary administration channels. The useful evidence is the relationship between the process, identity, destination and authorized task. A signed binary can perform an unauthorized action, and a new hash does not necessarily represent a new behavior. Protect credentials and administration boundaries alongside execution controls.
Evidence to collect
Inventory required executables, script interpreters, signer trust and writable application paths before enforcement.
Validate with an authorized exercise
Run representative maintenance tasks on a test device, then attempt a harmless unapproved executable; verify denial and a usable approval workflow for legitimate changes.
Rollout and checks
Establish approved maintenance examples before enabling enforcement and verify event collection from the affected host class. Preserve essential recovery connectivity and define the consequence of an isolation or policy failure. After remediation, verify both the original access boundary and any credentials or automation that could recreate the condition. Rebuilding a host alone does not validate those dependencies.
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.