Network Segmentation Change Safe Rollback and Replanning Trajectory Dataset

#risk detection #rollback verification #adaptive replanning #network segmentation management #network change failure recovery #network security operations

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset captures agent decision trajectories after network segmentation policy changes encounter anomalies, including incident context, risk assessment, rollback or partial-reversal choices, recovery actions, and network-state verification. The trajectories also record residual risks and replacement change plans, showing the decision chain from failure detection through safe replanning. They support training and evaluation of network segmentation agents for incident recovery, self-correction, and change planning.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
incident_input	object	Change context, observed anomalies, and post-failure network state from the original incident record.
risk_assessment	object	The agent's identification of risks and assessment of their impact based on the original incident information.
recovery_actions	array	Rollback or partial-reversal actions planned by the agent, along with their expected effects.
replacement_plan	object	A safer alternative segmentation policy plan proposed after recovery and state verification.
recovery_decision	object	The agent's choice to roll back, partially reverse, or defer action in response to the failed change.
trajectory_summary	string	A summary of the decision chain covering anomaly detection, recovery selection, state verification, and replanning.
verification_result	object	Network state confirmation, check results, and residual risks recorded after recovery actions.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It records the decision process after anomalous network segmentation changes, including the original incident, risk assessment, rollback or partial-reversal decision, recovery actions, post-recovery state verification, and replacement change plan.

Which capabilities can it support?: The data can support training or evaluation of agent risk assessment, safe recovery decisions, recovery verification, self-correction, and replanning after failed network changes. It can also be used to analyze agent decision trajectories.

What are the dataset size and quality specifications?: The available information does not specify sample count, file format, or quality metrics. The schema separates incident input, decisions, actions, verification, and planning; consult the product listing for exact size, delivery format, and quality details.

How can I obtain the data and confirm its license?: Check the product listing for available access methods, delivery formats, and license terms. Before use, confirm the permitted scope, use cases, and whether commercial use is allowed; this description does not imply a specific license.

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Cite this Work

@dataset{Mobiusi2026,
  title={Network Segmentation Change Safe Rollback and Replanning Trajectory Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/1e27573493ae3f4e5870cffcbf3e7fa5},
  urldate={2026-10-19},
  keywords={network segmentation dataset,microsegmentation policy,network change rollback,agent error recovery,network security operations,change risk assessment,network state verification,agent replanning},
  version={1.0}
}

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