Become audit-ready, answer customer security reviews faster, and monitor risk continuously. Map evidence to controls across every framework — and price on what you use, not how many people you add.
Building in the open. Customer proof and outcomes will appear here as real deployments land — we don't publish numbers we can't stand behind.
Compliance automation, risk, vendor management, access reviews, and a trust center — six pillars connected by one evidence graph instead of a pile of disconnected spreadsheets and screenshots. Set proof up once and every pillar draws on it.
Four steps take you from scattered systems to continuous, audit-ready assurance — and the work compounds, because every step feeds the same evidence graph.
Link the cloud, identity, version-control, and HR tools that already hold your security configuration. We read posture and access data — read-biased, scoped, and never silently changing your systems.
Pick your frameworks and we lay out their controls and requirements. Each one is linked to the evidence and automated test that proves it — once, in a single graph you reuse across frameworks.
Tests re-run on a schedule and flag drift the moment a control slips. Failing checks open findings with a plain-language explanation and a suggested remediation your team can act on.
Export audit-ready packets, answer questionnaires from your own evidence, and publish a trust center so buyers self-serve — turning compliance from a cost center into a sales accelerant.
Point-in-time audits go stale the day after they're signed. Our evidence graph watches your controls continuously, so the proof is always current.
Our AI assists the work humans review and sign off. It proposes; your team approves. No autonomous claims, no black boxes.
Yes. Data is encrypted in transit and at rest. The draft cites your encryption policy and the passing control that proves it — ready for your reviewer to approve.
Every suggestion is reviewed and approved by a person before it leaves your workspace.
An MCP server lets the AI tools your team already uses — Claude, Cursor, and others — work directly against your compliance program, securely and on your terms.
From SOC 2 and ISO 27001 to newer regimes like the EU AI Act, DORA, NIS2, ISO 42001, and the NIST AI RMF — a single passing test can satisfy related controls across many frameworks, so adding your next one reuses the work you already did.
14+ frameworks on the roadmap, spanning security, privacy, AI governance, and financial regimes. Map your controls once and apply them across every framework that shares them.
Pull configuration and access data from the cloud, identity, version-control, HR, endpoint, and observability tools you already run — so evidence collects itself instead of landing in your inbox. We show capability categories here; specific connectors are listed as they ship, with a custom API for the rest.
The same evidence graph scales with you — from your first SOC 2 to a multi-framework program across business units — so you never re-do foundational work as you grow.
By industry
Publish a public security profile, gate sensitive documents behind NDA, and handle access requests — so security reviews stop blocking your deals.
Plenty of platforms automate compliance. Here's where our take diverges from the incumbents — and why it matters for the buyer evaluating us.
We won't hand you an unsourced “we beat everyone” chart. Instead, here are the dimensions worth scoring any GRC platform on — including ours — so you can decide on substance.
Tooling does the heavy lifting — but you are never on your own when a framework, an auditor, or a failing control needs a human.
Guides, framework hubs, and templates that demystify control mapping, evidence collection, and audit prep — so your team moves faster. Published as real content lands.
Straight answers about what exists today, how the platform works, and what we will and won't claim before it's real.
We are building in the open. The platform direction — compliance automation, continuous monitoring, risk, vendor management, a trust center, and AI-assisted drafting — is what you see here. Capabilities ship and are announced as they land; we don't claim features that don't exist yet.
Evidence and controls live in one graph. A single passing test can satisfy related controls across multiple frameworks, so adding your next framework reuses work you already did instead of starting over.
It drafts the busywork — evidence requests, questionnaire answers grounded in your own documents, remediation steps, and risk summaries. Every suggestion is reviewed and approved by a person before it leaves your workspace. No autonomous actions.
The model is built around the frameworks and integrations you actually use rather than charging per seat — so adding teammates, reviewers, and auditors doesn't inflate the bill. Specific prices are published once they're set.
Automated tests pull live configuration and access data from your connected systems on a schedule and verify each control still passes. When something drifts — a bucket goes public, MFA lapses, a policy loses its backing evidence — a finding opens with a plain-language explanation and a suggested fix, instead of you discovering it at next year's audit.
An MCP server lets assistants like Claude or Cursor query your compliance program through scoped, per-org API tokens. Read tools (list controls, get evidence, check status, find failing tests) answer from your real tenant. Action tools (draft a remediation, open a finding) are propose-only and approval-gated — nothing changes a system without an explicit human gate, and every tool enforces the same tenant isolation as the app.
14+ on the roadmap, spanning security (SOC 2, ISO 27001, PCI DSS, CMMC, FedRAMP), privacy (GDPR, HIPAA, ISO 27701), AI governance (ISO 42001, NIST AI RMF, EU AI Act), and financial/operational regimes (DORA, NIS2, SOX). Because mapping happens at the requirement level, adding a new framework reuses the evidence you've already collected.
Yes — that's the point. We pull posture and access data from your existing cloud, identity, version-control, HR, endpoint, and observability tools. The integrations directory lists connectors as they ship, and a custom API covers evidence-producing systems not yet built. Connections are read-biased; we don't silently mutate your systems.
Get a guided demo, or start by scanning any domain for free.