01 — Sensing
Continuous Sensing
Persistent observation across the full enterprise surface area. Telemetry is ingested, normalized, and correlated without operator intervention.
A NorthQuinn Platform
AVERY.
Autonomous / Vigilance / Engine / Reconnaissance / Yield
An autonomous defense platform built for institutions that cannot afford to lose.
— Operating Mode
Autonomous
human review = exception
— Decision Window
Sub-Second
design target ≤ 800ms
— Coverage
Continuous
24 / 7 / 365
— Architecture
Sovereign
no third-party egress
Persistent by DefaultContinuous observation across the surface
Autonomous ResponseDecisions inside the adversary cycle
Behavioral InferenceSignature drift is the signal
Sovereign ArchitectureNo third-party egress
Adaptive LearningEvery engagement is a training event
Intent Before IndicatorActor models over signature match
Pre-Compromise FocusEarlier in the kill chain
Operational OpacityQuiet by default
Persistent by DefaultContinuous observation across the surface
Autonomous ResponseDecisions inside the adversary cycle
Behavioral InferenceSignature drift is the signal
Sovereign ArchitectureNo third-party egress
Adaptive LearningEvery engagement is a training event
Intent Before IndicatorActor models over signature match
Pre-Compromise FocusEarlier in the kill chain
Operational OpacityQuiet by default
02 / Operational Surface
Four tier capability set
02 — Inference
Behavioral Inference
Operators, systems, and adversaries are baselined as living signatures. Drift from baseline is the signal, not isolated indicators.
03 — Response
Autonomous Response
The platform decides and acts inside the adversary's decision cycle. Human review is exception, not default.
04 — Adaptation
Adaptive Learning
Every engagement is a training event. The platform's judgment compounds over time against the threats it actually faces.
03 / Layered Architecture
Five stage pipeline
L1
Ingestion
Sensor Mesh
Distributed telemetry collection across the enterprise surface. Host, network, and identity signal is captured at source and normalized into a common event model.
L2
Gateway
Authenticated Intake
Every sensor is cryptographically identified. Events are signature-verified and replay-protected before they are permitted to influence a single downstream decision.
L3
Core
Behavioral Correlation
The reasoning layer. Actor, system, and adversary are modeled as evolving behavioral signatures rather than static indicators. This is where AVERY reasons about intent.
L4
Action
Autonomous Response
Findings drive response within the sub-second design window. Human review is the exception, reserved for the ambiguous edge rather than the routine decision.
L5
Learning
Continuous Loop
Every outcome feeds back into the model. Signatures do not decay into staleness; the system is designed to remain current against an adversary that is also adapting.
04 / The Difference — Why AVERY Is Not Another SOC
Most platforms ask what happened. AVERY asks who is doing it, and why now.
Conventional security tooling chases indicators. Indicators are downstream of intent. By the time the indicator fires, the adversary has already moved.
AVERY models the operator, the system, and the adversary as continuously evolving signatures. The signal is the gap between what a signature should look like and what it does next.
The fastest defense is one that knew you before you arrived.
05 / Built for the Adversary Level
Design target: APT-grade
Most detection is tuned for the commodity threat and bolts on sophistication after the fact. AVERY inverts that. APT-grade adversaries were the design target from the first architectural decision, not a capability added once the product shipped.
In institutional and mission environments where insider-threat monitoring is mandated, the privacy calculus is not the commercial enterprise calculus. Continuous behavioral observation is an operational requirement, and the platform is designed for that posture rather than retrofitted to it.
The right question is not whether you were breached. It is whether your defenses were designed for the adversary you actually face.
Commodity threatBaseline
Targeted intrusionCovered
APT / Nation-stateDesign Target
The ceiling is set at the top of the threat spectrum, not raised to meet it later.
06 / Distributed Sensor Field
Operational surface
— Sensor Footprint
Continuous
24×7
— Telemetry Streams
N-Dimensional
Fused
— Correlation Window
Sub-Second
Real-Time
— Mode
Autonomous
Human review = exception
07 / Grounded in Field Research
Published threat intelligence
AVERY is not a whitepaper concept. The collection infrastructure underlying the platform has produced original, published threat intelligence, including the documentation of a previously uncatalogued botnet SSH backdoor key submitted to the Shadowserver Foundation and CISA ICS-CERT through responsible disclosure.
NorthQuinn's research is published openly and reviewed on its own merits.
Read the Research— Published Findings
Undocumented Outlaw SSH backdoor key
Absent from all major public TI databases at time of discovery
APT-style reconnaissance cluster
Multi-cloud infrastructure, attribution-resistant tradecraft
Responsible disclosure
Shadowserver Foundation · CISA ICS-CERT
08 / Initiate Contact
Assume compromise.
Assume compromise.
Verify with AVERY.
We do not publish our tradecraft. We demonstrate it — a live detection scenario built against your environment's threat model, conducted under NDA with qualified buyers. SOC, government and IC, financial infrastructure.
> avery request --demo · response window: one operational cycle