Recursive reasoning. Governed execution. Evidence you can act on.
Nectar is Hayrok’s security validation engine and recursive graph reasoning AI in one. It connects security relationships, forms testable attack hypotheses, and executes governed adversarial validation through specialized agents. As evidence arrives, it refines the investigation and determines the next permitted step.
Meet Nectar: Reasoning and Validation, Now One Product
Nectar is both Hayrok’s reasoning AI and its security validation engine. Reasoning decides what to test next. The validation engine executes approved scenarios and records what happened. Both run inside the same authorized plan.
Natural-Language Validation: Ask Plainly, Get a Governed Plan
Describe the security question the way your team would say it. Nectar identifies the intent, targets, identities, and environment, maps them to approved scenarios, and checks every step against your policies before anything is proposed for approval.
Adaptive Investigation: It Changes as the Evidence Changes
Nectar reasons over the relationships available to the investigation: assets, identities, permissions, trust boundaries, weaknesses, attack paths, controls, and evidence. That is how Nectar validates attack paths instead of listing findings. New evidence can confirm a relationship, challenge an assumption, or reveal that more context is required.
A generated path or visual proximity does not establish that the attack step succeeded. The edge stays hypothesized until evidence supports it.
Confirmed observations, source assertions, inferred relationships, and unknowns remain distinguishable.
Nectar Agents: One Engine, Specialized Agents in Concert
Governed autonomous security testing, coordinated by one engine. Nectar runs the investigation, planning, execution, validation, and reporting work. Each agent operates inside the same authorized plan, and results flow back into the investigation.
Validation results loop back to hypothesis formation, so the investigation refines itself. Your team retains authority over scope and operating conditions.
How Nectar Reasons: Hypothesis, Observation, Next Step
Replayable Evidence: A Record Engineers Can Inspect
Follow a finding from the approved objective to the observed result and the verification after remediation. Each event keeps its own scope, timestamp, and artifacts.
Evidence Fabric preserves the connected records and artifacts. Replayable evidence lets authorized users inspect what happened; a new test follows current readiness and authorization requirements.
View Example Evidence →Control Effectiveness: Nectar Reads What Your Controls Saw
Correlate each executed step with supported telemetry from your security stack. Nectar reviews whether a control blocked the activity, whether a detection fired, and whether an alert reached the owning team.
An absence of telemetry does not by itself establish that a detection failed. Missing or delayed sources stay visible as unresolved.
Business-Aware Reasoning: The Boundaries That Matter to You
Each scenario uses compatible configured identities, resources, and operating requirements.
Governed Autonomy: Adaptive Reasoning, Explicit Boundaries
Nectar can refine an investigation as evidence arrives. Before any next step runs, it is checked against the authority, scope, and conditions your organization grants.
New evidence does not grant new authority. Approval-sensitive plan changes return to review.
Governed AI: Reasons Freely, Acts Only on Your Authority
Nectar is an AI that plans and adapts, but it never grants itself permission. Every action it takes is tied to a named human approval, a defined scope, and a reasoning record your team can inspect.
Tenant Isolation: Every Tenant Is Its Own Hive
Nectar runs inside a dedicated boundary for each organization. Findings, evidence, credentials, and agent activity stay partitioned from every other customer.
Isolation is enforced by the platform, not by policy alone.
Audit and Control: Replay Every Step, Write the Rules
Each Nectar action and decision is recorded as a replayable step, with the inputs, reasoning, and policy checks behind it. Define custom policies for how Nectar is used, and every step is evaluated against them before it runs.
Integrations: Ask Nectar From the Tools You Use
Through the Hive MCP server, approved assistants can query findings, read evidence, and propose validations. Proposals land in Hive for review; nothing executes without authorization.
Nectar and Hive: The Engine, and Your Team in Control
Use Hive to set objectives, configure context, review plans, authorize required actions, inspect evidence, and manage follow-up.
Work through structured validation flows, graphs, findings, evidence views, reports, and supported conversational interaction. Conversation is one feature of the workspace interface.
Explore the Hive Platform →Nectar reasons across the available context while preserving what each source establishes. Intelligence, risk scores, inferred paths, and presence observations do not independently prove exploitation.
Nectar is Hayrok's governed AI security validation engine. It combines recursive graph reasoning with the validation engine that executes approved scenarios: investigation, planning, agent orchestration, governed adversarial execution, outcome validation, reporting, and evidence-guided refinement.
See Nectar Work: From Hypothesis to Inspectable Proof
Explore the reasoning context, review the governed plan, follow the coordinated execution, and inspect how evidence shapes the next step.
NECTAR IN HIVE
See how Nectar reasons, validates and answers
