Guide / AI-assisted security, with human oversight
Expand the research. Keep responsibility clear.
AI can support repeatable research and help organize a large public footprint. In an assessment, useful output still needs sources, context, and accountable review. This guide explains how to evaluate the role of AI without confusing generated conclusions with observed security evidence.
Keep the evidence accountable
Bounded research
Defined assets, information, and permissions
Suggested connections
Generated hypotheses awaiting review
Source verification
Check ownership, currency, and support
Human accountability
A named lead reviews findings and limits
AI-supported research remains bounded by scope, source evidence, and human judgment.
01 / Guide
Give automation a bounded task
Define what an agent may examine, what information it may use, and which actions need review. Research can help organize public references, suggest relationships for investigation, and prepare material for a human reviewer. A suggested connection remains a hypothesis until the supporting evidence has been checked. The engagement scope should govern the work regardless of which tool performs a task.
FIELD NOTES
- Set the asset boundary and the permitted research activities.
- Specify what information can enter the approved workflow.
- Require review before a proposed action expands testing or scope.
02 / Guide
Keep evidence separate from generated interpretation
A confident description is not proof that a system behaves as described. Preserve original sources and observations so a reviewer can check important claims. Ask whether ownership was confirmed, whether a page is current, and whether the evidence actually supports the suggested impact. Human review should correct unsupported assumptions and make limitations visible in the delivered finding.
FIELD NOTES
- Retain source references and observation dates for material claims.
- Label generated hypotheses until they have been reviewed.
- Distinguish observed behavior from summaries and suggested explanations.
03 / Guide
Evaluate accountability at the handoff
In OPSEQ’s assessment approach, a human lead directs validation and reviews findings. Buyers should understand who owns those decisions, how urgent observations are escalated, and how errors can be corrected. Ask how the team handles uncertain results and sensitive evidence. The useful measure is whether the delivered assessment supports a defensible next action within its stated limits.
FIELD NOTES
- Identify the human lead responsible for the assessment.
- Agree on escalation, evidence handling, and correction routes.
- Review the quality and scope of findings rather than the amount of generated output.