Kyūdō
Platform Overview

Every audit is uneventful because readiness was never in question.

Kyūdō replaces $150K to $400K in distributed compliance labor with a platform that collects evidence, scores risk, and reports to your board automatically, inside your Azure tenant.

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AI-Native Architecture

When your auditor asks how the AI reached its conclusion, the system shows them.

The Compliance Graph, Kyūdō's relationship layer connecting controls, evidence, risks, policies, and vendors, reasons with confidence scoring and full provenance. Not AI bolted onto a database. Intelligence designed to explain itself under scrutiny.

Compliance Graph Core

Controls, evidence, risks, policies, and vendors exist as connected entities—not isolated records. AI traverses relationships to surface insights.

Evidence-Grounded Reasoning

Every AI response cites actual controls, collected evidence, and policy documents. No hallucinations—only what’s provable in your environment.

Human-in-the-Loop

AI reduces cognitive load—it doesn’t replace accountability. Every significant decision requires human approval with full audit trail.

The governance control plane

Your security investments produce the operational truth. Kyūdō produces the audit proof.

Kyūdō reads your Microsoft Security stack natively - read-only, least-privilege, managed-identity authenticated. Each signal flow converts operational telemetry into control evidence with lineage, confidence scoring, and deterministic retrieval.

Operating principle
Signal sourceBecomes governed evidenceMapped controls
Microsoft Defender XDR
detection.alert
Threat detections become control validation evidence with chain-of-custody lineage.
DE.CM-1CC7.2
Defender for Cloud
cspm.finding
CSPM findings map to controls. Drift surfaces as control regression, not an orphan alert.
ID.RA-3CC4.1
Microsoft Sentinel
log.stream
Logging and monitoring telemetry becomes continuous evidence of control operation.
PR.PT-1CC7.3
Microsoft Purview
purview.dlp
Data classification and DLP events become data-protection evidence, automatically mapped.
PR.DS-5CC6.7
Microsoft Entra ID
entra.identity
Identity posture and conditional access state feed access-control assurance continuously.
AC.L2-3.1.6CC6.1
Azure Policy
policy.eval
Policy evaluations become infrastructure compliance evidence in real time.
CM.L2-3.4.2CC8.1
Beyond Microsoft
AWSGoogle CloudKubernetesGitHubOracle Cloud Infrastructure
Co-sell

Kyūdō is a Microsoft co-sell eligible ISV solution. Your Microsoft account team can include Kyūdō in Azure consumption commitments and MACC drawdown.

Learn about our Microsoft partnership
Mission-First Design

Missions, not workflows. Completion, not activity.

Your team launches a mission (scope a framework, close evidence gaps, prepare an audit package) and the system guides them to completion. Not a dashboard to stare at. A system that runs.

  • Mission templates for common GRC objectives
  • Cross-module orchestration without context switching
  • Progress tracking with clear completion criteria
  • Stakeholder assignment and accountability
Mission Launcher
Active Mission
Prepare for SOC 2 Type II Audit
Progress
Next Step
Collect evidence for AC-2 Access Control
Platform Modules

Six modules. One evidence base. Zero rework.

Controls mapped across 80+ frameworks. Evidence collected continuously from live telemetry. Policies traced to the frameworks they satisfy. Risk quantified as a position, not a number in a cell.

Controls Hub

Every control in your organization — mapped, scored, and linked to live evidence. Defined once, maintained across 80+ frameworks simultaneously.

  • Control definition with regulatory language
  • Multi-framework mapping (SCF-based)
  • Maturity scoring and progression tracking
  • Gap detection and remediation guidance

Compliance Automation

Evidence that stays current because the system maintains it — not because someone remembered to update a screenshot. Continuous collection from your Microsoft Security stack.

  • Microsoft Security integration (Defender, Purview, Sentinel)
  • Evidence freshness and validity tracking
  • Automated control testing
  • Drift detection and alerting

Risk Management

Risk as a position in a structure that can be interrogated — not a number in a cell. Board-ready exposure tracked as trajectory, not snapshot.

  • Risk identification and categorization
  • Quantified impact assessment
  • Treatment workflows (mitigate, accept, transfer)
  • Risk-to-control mapping

Vendor Risk Management

Vendor risk that is operationally measurable — not just administratively tracked. AI-powered questionnaire handling with Compliance Graph citations.

  • Vendor inventory and tiering
  • AI-assisted questionnaire completion
  • Continuous monitoring integration
  • Contract and SLA tracking

Policy Pilot

Policies that trace to the controls they support and the frameworks they satisfy. Version-controlled, attestation-tracked, continuously analyzed for gaps.

  • AI-assisted policy drafting
  • Version control and approval workflows
  • Policy-to-control mapping
  • Distribution and acknowledgment tracking

Trust Center

Customer security reviews that took weeks now take hours. A transparency portal that proves your posture instead of describing it.

  • Public and gated artifact sharing
  • AI-powered questionnaire responses
  • Real-time compliance status
  • Branded customer portal
AI Capabilities

Intelligence you can explain to an auditor.

Most GRC platforms that claim AI cannot answer a simple question: how did the system reach this conclusion? Kyudo can—with confidence scoring, provenance metadata, and the Compliance Graph reasoning chain that produced every output.

Compliance Graph Reasoning

AI traverses the Compliance Graph to identify control gaps, evidence staleness, and risk correlations that manual review would miss. Every recommendation links back to specific graph relationships.

Confidence Scoring

Every AI output includes a confidence score with full provenance. You see exactly which evidence, controls, and policies informed the recommendation—and where certainty is low.

Sensei Copilot

Natural language interface to your compliance data. Ask questions like “Which controls are failing for SOC 2?” and get answers grounded in your actual evidence, not generic templates.

Continuous Learning

AI models improve as your compliance program matures. Evidence collection patterns, control mapping accuracy, and risk assessments all sharpen over time—within your data boundary.

Outcomes

What changes for your bottom line

Quantified outcomes, not feature lists.

~90%

Reduction in manual compliance effort through continuous evidence automation

~80%

Faster audit readiness with always-current evidence and gap detection

100%

Data sovereignty with customer-hosted Azure deployment option

Get Started

Ready to see the 12-month dollar impact?

Model the cost of your current compliance program against Kyūdō. See your first evidence report in 24 hours, deployed inside your Azure tenant.

No cost. No commitment. See the platform live.