Authorized actions
Every planned action should resolve to an approved asset, identity, scenario version, operator, and stop condition.
Private preview
Continuous offensive-defensive learning
A controlled operating loop for security learning.
Poxek AI Purple Team connects the authorized asset graph, controlled adversary scenarios, defensive telemetry, and detection engineering. Its operating model stops automatically when scope, health, or cleanup conditions fail.
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Private-preview benchmark
Targets for the private preview.
These figures are private-preview evaluation targets—not measured customer results, guarantees, or contractual SLAs.
Residual persistence
Cleanup criterion: no account, service, scheduled task, or validation artifact remains.
Gap-to-retest loop
Target for converting a failed detection into owned tuning work and a scheduled replay in the test environment.
Poxek AI Purple Team
Capabilities
A safety-bounded validation loop for measuring whether preventive and detective controls observe the behavior they were built to stop.
Authorized scenario execution
Select versioned scenarios mapped to ATT&CK techniques, bind them to approved assets and identities, enforce rate and impact limits, and require preflight health checks.
Control and telemetry correlation
Compare expected prevention, endpoint, identity, network, cloud, SIEM, and case-management signals with what the environment actually recorded.
Repeatable improvement loop
Create evidence-backed detection gaps, replay the same scenario after tuning, and track regressions without leaving persistence or uncontrolled test artifacts behind.
Operating flow
Evidence moves with the decision.
Model the authorized perimeter
Run controlled security validation
Observe defensive detection
Feed results back into both sides
Operational use cases
Where the workflow should earn its place.
Validate a control change
Replay a narrow scenario after an EDR, identity, firewall, or SIEM rule update and compare prevention, telemetry, alerting, and case creation against expectations.
Exercise a detection path
Run an authorized technique chain with synthetic identities and data, observe where evidence disappears, and hand the exact gap to detection engineering.
Track defensive regressions
Schedule low-impact scenarios in a lab or approved test segment and alert when a previously observed control or telemetry source stops producing evidence.
Outcome
An evidence loop where every authorized validation produces a control result, a cleanup record, and—when needed—an owned detection improvement with a repeatable check.
Private preview
Bring the perimeter and the response into the same conversation.
Tell us which operating constraint you need to examine. Private Preview discussions begin with scope, governance, and evaluation context.