Scope
Agree objectives, systems, authorization, test windows, exclusions, stop conditions, owner and escalation contacts.
OUTPUT / RULES OF ENGAGEMENTA clear engagement path makes continuous testing safe, observable and operationally useful.
Agree objectives, systems, authorization, test windows, exclusions, stop conditions, owner and escalation contacts.
OUTPUT / RULES OF ENGAGEMENTCoordinate parallel investigations to examine relevant exposure hypotheses while staying inside approved limits.
OUTPUT / TEST TRACEReview permitted validation evidence, confirm impact and connect technical observations to the business objective.
OUTPUT / VERIFIED DOSSIERAssign remediation actions, explain priorities and re-run the relevant test after the fix to check the risk pathway.
OUTPUT / REMEDIATION RECEIPT01 / Permission before execution No tests without explicit written authorization and agreed targets.
02 / Production-conscious defaults Stop and escalate when proposed actions could change sensitive data or disrupt service.
03 / Restricted evidence Minimize and redact collected evidence, subject to customer retention and access rules.
04 / Human accountability Named operators review critical findings and consequential judgment calls.
05 / No false certainty Scope limits, failed tests and unverified findings are clearly distinguished.
Choose one critical asset or business workflow and establish the success criteria.
Execute the approved test, review the findings and publish a concise evidence-based dossier.
Confirm prioritized fixes, then extend coverage as the organization is ready.
The timeline, controls and exact automation available must be confirmed during scoping; this is a proposal, not a product SLA.
Start with one authorized, business-critical workflow. A deliberately constrained engagement can surface useful evidence without an enterprise-wide rollout.
Determine whether an external actor could reach an approved administrative workflow through a lower-trust application route.
Define target URLs, test windows, approved identities, exclusions, data-handling rules, approvals and immediate stop triggers.
Evaluate attack hypotheses, collect limited technical evidence and stop before material disruption or unapproved data access.
Deliver a plain-English pathway summary, technical detail, evidence quality, remediation ownership and a validation plan.
Repeat the agreed scenario to determine if the risky path is actually closed; document any residual exposure.
We will not invent a coverage percentage, claim every attack path is discovered, or imply AI agents can safely take any action without permission.
Validated findings, severity rationale, remediation acceptance, retest closure rate and time from report to decision - once real engagement measurements exist.