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NorthQuinn Platform

AVERY Platform

Autonomous threat detection designed for defenders who refuse to wait for the breach notification. Pre-compromise visibility. APT-grade detection. No black boxes.

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Focus · Pre-Compromise Detection · APT-Grade
What AVERY Is

Detection built for the adversary you're actually facing

Most security tools are built to catch what's already been seen. AVERY is built around the assumption that sophisticated adversaries are already inside your network, patient, deliberate, and specifically designed to evade signature-based detection.

AVERY is designed to surface high-fidelity findings with the context your analysts need to act, not a queue of alerts to filter through.

  • Built for pre-compromise visibility across complex, multi-segment network environments
  • Detection logic engineered for sophisticated adversary tradecraft, not commodity threats
  • Autonomous triage designed to reduce analyst workload without sacrificing fidelity
  • Every detection designed to map to a MITRE ATT&CK technique
  • Open-stack architecture. You own the infrastructure, the data, and the detection logic.
Where AVERY Is Today

In active development, built in the open where it can be

AVERY’s detection engine and enrichment pipeline are in active development. The approach behind them, behavioral baselining scored across several independent signals, is being built and tested against public, labeled network datasets, and the analysis tools that implement parts of it are published as open source with their measured limits stated.

AVERY is not yet generally available. If your environment faces the adversaries AVERY is designed for, we’d like to hear from you.

Read the research   Try the interactive demonstration   Request a technical briefing

How AVERY Works

A baseline for everything that matters, and a threshold that needs agreement

Signature tools ask whether an event matches something already known to be bad. AVERY is designed to ask a different question: is this host, identity, or channel behaving differently from its own history?

  1. Existing telemetryNetwork, authentication, and host activity your environment already produces
  2. Per-entity baselinesWhat normal looks like for each host, identity, and channel
  3. Independent signalsEach departure from the baseline scored on its own
  4. Finding, with evidenceRaised only when several signals agree

It learns what normal looks like

AVERY builds a behavioral baseline for each entity from telemetry your environment already produces: network metadata, authentication events, and host activity, read through non-intrusive connections.

It scores drift across independent signals

Timing regularity, first-seen relationships, protocol and TLS characteristics, data symmetry, and access scope are each scored on their own. A single odd event is common and rarely worth an analyst’s time.

It speaks when the evidence agrees

A finding is raised only when several independent signals point the same way, and it arrives with the evidence for each one and the ATT&CK technique it suggests. Signals that are never corroborated fade back into the baseline.

Autonomous, for AVERY, means the baselining and scoring run continuously without an analyst writing a rule for each new pattern. People still decide what to do about a finding.

Limits. AVERY can only judge what its telemetry shows. Some covert channels, such as DNS tunneling, need dedicated analysis, and our published research describes where these methods work and where they don’t.

See the approach step by step in the interactive demonstration

Detection Capabilities

What AVERY is designed to find

01

Command and Control Detection

Detection logic designed to surface implant callbacks that blend into normal traffic, including low-volume and irregular communication patterns across multiple protocols.

02

Lateral Movement Detection

Correlation of network activity and host telemetry to reconstruct attacker movement across the environment, identifying the full campaign scope rather than isolated events.

03

DNS Anomaly Analysis

Detection coverage across DNS traffic for covert channel abuse. DNS is one of the most frequently abused covert channels and one of the least inspected.

04

Host Telemetry Correlation

Process monitoring, privilege escalation detection, and persistence mechanism identification through host telemetry correlated against network activity across the kill chain.

05

IOC Correlation

Threat intelligence feeds correlated against your traffic as it arrives. Known malicious infrastructure, file hashes, and behavioral indicators matched against session data with actor attribution where available.

06

Adversary Tradecraft Detection

Detection logic built around how adversaries actually operate, not around specific tool signatures that change with every campaign. Coverage that persists across toolset changes and campaign evolution.

AVERY’s detection scope is designed to span the kill chain. Specific detection methodology is shared under NDA in technical walkthroughs with qualified organizations. We do not publish our tradecraft.

Request a Technical Walkthrough
Why AVERY Is Different

What sets the platform apart from the field

No Black Box Detection

Every finding is designed to arrive documented, explained, and tied to a specific adversary technique. Your team knows what fired, why it fired, and what to do, not just that an alert number incremented.

Adversary-Centric Design

Detection logic is built around how adversaries actually operate. TTPs modeled and tested against documented real-world attack patterns, not compliance checklists or vendor default rules.

Open Stack, No Lock-In

Open-stack architecture, no proprietary lock-in. You own the infrastructure, the data, and the detection logic. If you part ways with NorthQuinn, your security program continues operating.

Read-Only by Design

AVERY is designed to work from telemetry your environment already produces, through read-only connections. It sits alongside your existing stack rather than replacing it or sitting inline in your traffic.

Who It's For

Who AVERY is built for

Enterprise SOC Teams

SOC teams drowning in alerts need a platform that performs genuine triage. AVERY is designed to reduce analyst workload by surfacing only high-fidelity findings with the context needed to act, not a queue to filter through.

Government and Intelligence Community

Environments facing nation-state threat actors require detection capabilities designed to match that adversary level. AVERY was built with APT-grade threats as the design target, not a feature added after the fact.

Defense Industrial Base

Defense contractors hold the designs, data, and network access that nation-state actors target, under contractual security obligations. Patient, persistent access campaigns are exactly the threat AVERY is designed for.

Post-Incident Recovery

After a breach, the priority is establishing what happened and ensuring the adversary is no longer present. NorthQuinn’s forensics work reconstructs the timeline; AVERY is designed to keep watching afterward, so a returning adversary stands out against the rebuilt baseline.

Related Services

Talk to us about AVERY

We’ll walk you through the approach and a detection scenario relevant to your environment and threat model, under NDA.

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