Disposable victim; separate sink; DetectionOnly observation; hard TTL ceiling.
engineering: pilot-ready foundation · commercial: demo / pre-revenue ·
assume the guest will eventually belong to the adversary
DetCordon keeps useful observation outside that trust failure. A disposable victim runs behind a DetectionOnly HTTP tap; authenticated events and encrypted samples leave for an audited sink on a separate host, where evidence can be retained, signed, and verified offline.
no production or formal sandbox-escape assurance is claimed
current status
a working trust story; the remaining gates are real-world ones
The core containment, remote-authentication, evidence, fleet, and operator paths are implemented. The product is still sold as a demo, not as a GA service: customer-owned deployment proof, production key custody and recovery, continuous SLO evidence, and a signed commercial offer are intentionally still ahead.
Tenant-bound mTLS profiles plus identity issue, rotation, revocation, and distribution tooling.
Encrypted samples, signed bundles, offline verification, quotas, retention, and SIEM egress.
Run the complete topology with a design partner and turn measured operations into SLA commitments.
current system
observe the interaction; move trust away from it
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01
allow
The DetectionOnly tap records request metadata while the hostile interaction continues instead of turning the sensor into a blocker.
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02
constrain
The victim runs in time-boxed Docker or Firecracker isolation with default-drop egress and a hard lifecycle ceiling — a warm pool can restore a clean, previously-snapshotted VM in about a second.
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03
separate
Telemetry and sample uploads use distinct paths into a sink partitioned per tenant. Production profiles can bind authenticated producers to tenant and source identity.
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04
preserve
The sink hashes and encrypts samples, audits writes, applies retention and quota policy, and exports evidence that verifies offline.
technical proof
record first; interpret without rewriting the record
Bounded replay and on-demand requests share validation, provenance, authentication, and wire-safety rules. Observed requests receive fresh runtime identity while imported capture metadata stays visibly separate from what DetCordon actually observed.
what the evidence can prove today
Which controlled HTTP input was sent and observed; which events and encrypted samples reached the sink; their hashes, source identity, time window, redaction policy, and bundle integrity.
what it does not yet claim
Deterministic request → victim process → sample causality. That bridge requires customer-owned runtime provenance before it becomes a public assurance claim.
evidence stays evidence
Analyst context can make captured facts more useful, but derived enrichment must remain distinguishable from the signed observation record instead of silently becoming part of it.
direction of travel
trust first, then scale, then a contractual service
pilot-ready foundation
Remote OIDC access, per-operator audit, signed evidence, tenant-bound authenticated transports, fleet views, quotas, retention, reliable event delivery, SIEM egress, Firecracker scaling work, and HA drills.
design-partner proof
Exercise two isolated tenants on a customer-owned topology, verify redacted streams in the customer SIEM, prove off-host recovery, and operationalize key custody and rotation.
measured managed service
Continuous SLO measurement, rehearsed recovery, explicit capacity ceilings, support/on-call discipline, and a signed rate card tied to what the service can actually sustain.
operating boundaries
explicit scope, explicit residual risk
Containment depends on live-host configuration, kernel isolation, physical sink separation, authenticated deployment profiles, and operator discipline. Those remain part of every deployment review.
is
- containment-first dynamic observation
- disposable sandbox plus separate evidence sink
- authenticated, provenance-oriented evidence paths
- isolated per-tenant sink and dashboard
- a review-gated pilot foundation
is not
- a blocking WAF
- a promise that hostile code is safe
- an unauthenticated public detonation service
- a formal proof of isolation or causality
diligence trail
security review is part of the product
A finding closes only when implementation enforces the boundary, a regression proves rejection, and generated defaults agree. Public claims stay narrower than the code until that proof exists.
managed pilot
make the next proof belong to your environment
A useful pilot defines topology, workload class, evidence retention, analyst access, SIEM destination, success criteria, and remediation gates before hostile workloads are introduced.
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