AI Cyber Defense / Endpoint, lateral movement and ransomware defense
AI Cyber Defense: Detect script abuse through execution context
Constrain script execution with supported application controls and separate administrator workflows. Correlate execution with sensitive file access or network activity rather than relying on a script hash.
Environment and inputs: Managed Windows and Linux endpoints, EDR telemetry, remote administration, file services and protected recovery systems.
Scenario and goal
Generated scripts can change text frequently while performing the same unauthorized administrative actions.
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
Collect parent process, executable signer, command-line visibility, script logging where supported and the user's expected administrative role.
Validate with an authorized exercise
Replay sanitized process-tree fixtures for an approved maintenance script and an unexpected document-to-script chain; verify the chain receives review without running malicious code.
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.