Canopy.
Canopy is a SaaS-delivered security platform that operates as a living security system — not a collection of disconnected tools. It correlates telemetry from XDR, EDR, CNAPP, identity, Git, cloud, and ticketing systems into a continuously updated model of the organization, enriched with external intelligence and adversarial testing.
What CANOPY does
CANOPY is the reasoning layer that sits above specialized components. It ingests signal, relates findings across systems, and produces context that security teams can act on.
Observes continuously
Ingests signal from discovery, telemetry, and integrated tools — ongoing rather than episodic.
Correlates across layers
Relates findings across code, infrastructure, identity, and network surface.
Contextualizes exposure
Moves from isolated findings to environment-aware understanding.
Supports decisions
Surfaces what matters to analysts under time pressure — with traceable reasoning.
Observe. Correlate. Assist.
Three operating stages that move the platform from passive detection to active support of security decisions.
Observe
Continuous observation across exposure, telemetry, posture, and integrated tooling. Nothing binary, nothing periodic.
Correlate
Relates weak and strong signals. Converts isolated findings into coherent, environment-aware context.
Assist
Supports decisions under pressure. Surfaces reasoning paths analysts can trace and challenge.
What Canopy is thinking, in real time.
Every recon pull, every correlation, every defensive action is written to an inspectable stream. Operators can trace why Canopy acted — from the first weak signal to the live mitigation — line by line.
Inputs the platform reasons over
Jungle-labs treats existing tools as inputs. The reasoning layer improves as more coherent signal flows into it.
A tool for security teams — not a replacement for them
Canopy is designed to sit under the control of the people running the environment. It amplifies the operator's judgment, preserves their authority over every action, and adapts to the constraints of the context it is deployed in.
Built for sovereign environments
A hardened deployment model for defense, intelligence, and public-sector operators. Local-first reasoning within the trust boundary, strict data sovereignty, and an operating posture shaped by regulated and sensitive contexts.
Built for enterprise operators
A SaaS-delivered edition for security teams in finance, tech, critical infrastructure, and large enterprises. Integrates with the existing stack, respects operational constraints, and scales with how modern environments actually run.
Design constraints we take seriously
Local-first where it matters
Sensitive reasoning runs within the customer's trust boundary. Sovereignty and latency are treated as first-class constraints.
Modular composability
Specialized components can be deployed independently and combined into a coherent operating model.
Traceable reasoning
CANOPY's output is inspectable. Analysts can trace why a signal was surfaced and how it was related.
Adversary-informed
The platform's logic is shaped by how attackers actually behave — not by abstract risk taxonomies.
See CANOPY reason over your environment
Walk through the platform with our team. We'll show how CANOPY, Sloth, and Mycelium Net fit into a real security operating model.