Catalog unified
Connect data systems, lineage, owners, quality signals, and access policy into one governed inventory.
Discover exposure, govern data and AI, operationalize privacy, and prepare audit evidence from a connected operating layer.
The core services, capabilities, and trust guarantees every Novatria product shares — from the trust graph to audit-ready evidence.
Explore the platformOne active graph connecting assets, identities, policies, risks, controls, workflows, and evidence.
Define policies once. Evaluate them across connected workflows at runtime.
Audit-ready proof produced as work happens — not after.
A unified identity layer connecting workforce, service, and AI-agent identities.
Column-level lineage across data, analytics, and AI — resolved at runtime.
One source of truth for risks, controls, owners, evidence, and framework mappings.
Connector coverage for warehouses, BI, ML, SaaS, and identity providers.
Document assets, summarize lineage, suggest owners, and draft policies for review.
Programmatic access to every governance, privacy, and security primitive.
Package trusted data into governed products teams can discover and request.
Trigger workflows, remediations, and reviews from graph events and policy.
Run DPIAs, risk assessments, and control reviews from one connected workspace.
Defense-in-depth security and review-ready controls built into the platform.
Pin metadata, policy state, and evidence to the regions your regulators require.
Purpose, lawful basis, consent, and retention enforced as runtime controls.
Always-on control monitoring with evidence mapped to frameworks.
Stay audit-ready year-round — no four-week evidence scramble.
Export framework-scoped evidence bundles auditors and buyers can consume.
Governance, Privacy, and Security are the products of Novatria. Browse every module, each connecting work, risk, and evidence across the platform.
The active control plane for trusted data and governed AI. Centralize metadata, lineage, policy, quality, access, AI governance, stewardship, and evidence workflows.
Ingest metadata, lineage, usage, quality, policy, ownership, classification, and activity signals.
Discover data, analytics, AI, and business assets with sensitivity, ownership, and policy context.
Create a governed record for datasets, dashboards, pipelines, metrics, reports, models, APIs, and data products.
Model business entities, concepts, relationships, domains, processes, metrics, and data meanings.
Trace data movement from source systems through transformations, dashboards, models, APIs, and AI systems.
Show what assets, owners, consumers, policies, and downstream workflows are affected by proposed changes.
Define who can access what data, under which policy, for what purpose, for how long, and with which approvals.
Operationalize policies through access decisions, masking rules, filters, approval flows, and evidence.
Register and govern AI systems, models, prompts, agents, RAG pipelines, training data, vendors, risks, approvals, and evidence.
Evaluate prompt behavior, retrieval quality, policy checks, drift signals, incidents, and control performance.
Map data and AI risks to controls, policies, owners, exceptions, mitigation plans, testing, and evidence.
Capture audit trails, policy decisions, approvals, classification changes, AI reviews, tests, incidents, and governance actions.
Map obligations and frameworks to controls, owners, policies, testing, and evidence.
Define, monitor, and report quality rules, thresholds, scores, certifications, anomalies, exceptions, and owner accountability.
Detect freshness failures, volume anomalies, schema drift, pipeline failures, cost anomalies, and quality incidents.
Define producer-consumer agreements for schemas, quality expectations, ownership, SLAs, usage rules, and change controls.
Connect governed enterprise context across data, AI, policies, controls, workflows, and business meaning.
Track model usage, cost, budgets, efficiency, and ownership across enterprise AI systems.
Maintain approved terms, definitions, metrics, KPIs, acronyms, owners, domains, synonyms, and relationships.
Publish trusted datasets, dashboards, metrics, APIs, models, and data products for governed discovery and reuse.
Add comments, approvals, tasks, mentions, decisions, subscriptions, reviews, and discussions to governance work.
Provide keyword, semantic, filtered, and natural-language search across data, AI, policies, owners, and evidence.
Use AI to explain assets, draft documentation, summarize lineage, suggest owners, identify gaps, and surface insights.
Assign owners, stewards, domains, certification duties, review cycles, accountability workflows, and task queues.
Govern AI-agent identity, delegated permissions, approval boundaries, ownership, and audit trails.
A unified security platform for exposure, vulnerability, identity, posture, human, application, threat, AI fraud, and incident response risk.
Continuously discover internet-facing assets, domains, subdomains, IPs, exposed services, cloud resources, SaaS apps, and shadow IT.
Prioritize vulnerabilities using exploitability, internet exposure, asset criticality, identity context, threat activity, and business impact.
Assess repository, dependency, package, CI/CD, secrets, branch protection, and SBOM risk.
Map exploitable paths from exposed assets, identities, vulnerabilities, permissions, misconfigurations, and dependencies to critical systems.
Discover sensitive data exposure, risky access, over-permissioned identities, unsafe sharing, and policy violations.
Detect risky users, stale accounts, orphaned admins, missing MFA, excessive permissions, privileged access gaps, and toxic combinations.
Discover and govern service accounts, API keys, secrets, tokens, workload identities, automation accounts, and AI-agent identities.
Monitor AWS, Azure, GCP, Microsoft 365, Google Workspace, GitHub, and business platform configurations.
Detect suspicious logins, impossible travel, privilege escalation, risky OAuth grants, session abuse, and account takeover signals.
Discover, rotate, and govern secrets, keys, certificates, expiration risk, and ownership.
Measure employee risk using phishing exposure, training status, behavior signals, identity posture, risky actions, and policy adherence.
Discover application and API exposure, authentication weaknesses, secrets leakage, risky endpoints, dependency risk, and posture issues.
Map posture, risks, controls, remediation, exceptions, and evidence to frameworks, audits, customers, insurers, and executive reporting.
Enforce runtime policy for prompts, models, agents, tools, data access, and unsafe AI behavior.
Inventory cryptographic assets, manage migration risk, and prepare for post-quantum standards.
Correlate signals from identity, endpoint, email, cloud, SaaS, application, and threat intelligence systems into prioritized findings.
Detect AI-generated fraud across voice, video, documents, approvals, messages, executive workflows, and high-risk transactions.
Coordinate intake, triage, containment, investigation, playbooks, tasks, communications, timelines, and evidence preservation.
Assess model providers, datasets, dependencies, artifacts, vendors, and delivery pipelines for AI supply-chain risk.
Detect and prevent sensitive data, model, prompt, and AI-output loss or exfiltration.
Operationalize privacy inventory, purpose, rights, consent, vendors, transfers, risk, retention, incidents, reporting, and regulatory change.
Maintain processing activities, data categories, systems, owners, purposes, lawful bases, vendors, regions, retention, and evidence.
Map where personal data lives and flows, which systems and vendors touch it, and which regions and obligations apply.
Document and govern why personal data is processed and which lawful basis supports each activity, use case, or region.
Connect policies, notices, obligations, commitments, and standards to operational controls, processing activities, workflows, and evidence.
Assess privacy risks from AI systems, ML models, generative AI workflows, training data, automated decisions, and AI vendors.
Manage rights request intake, identity verification, triage, SLA tracking, fulfillment, approval, response, and closure.
Maintain consent and preference records by purpose, channel, region, data category, subject type, and user state.
Turn consent and preference rules into operational controls across apps, marketing tools, analytics systems, CDPs, APIs, and downstream platforms.
Map retention rules to systems, records, processing activities, owners, legal holds, exceptions, execution workflows, and evidence.
Coordinate deletion and suppression across systems, vendors, backups, apps, data stores, processors, and downstream platforms.
Track vendors, processors, subprocessors, contracts, purposes, data categories, assessments, risks, regions, transfer mechanisms, and evidence.
Govern where personal data resides, where it is transferred, which jurisdictions are involved, and which mechanisms or approvals apply.
Structure privacy reviews for initiatives, products, campaigns, vendors, data sharing, high-risk processing, and business changes.
Govern automated decision-making, profiling, eligibility logic, significant effects, review rights, notices, opt-outs, and decision evidence.
Track privacy laws, jurisdictional requirements, obligations, enforcement trends, rule changes, and operational impact areas.
Track privacy risks, unresolved issues, accepted risks, exceptions, blockers, mitigation plans, owners, deadlines, and reviews.
Manage personal data incidents through intake, impact assessment, affected data analysis, legal review, notifications, and decision records.
Collect and link evidence across rights, assessments, consent, vendors, incidents, retention, transfers, policies, and approvals.
Provide operational, executive, and board visibility into privacy requests, assessments, consent, retention, transfers, incidents, risks, and evidence.
Publish customer-facing privacy, security, compliance, engineering, and assurance evidence from one governed exchange.
The principles that guide every product in the platform. The work compounds because the principles connect.
Connect warehouses, BI tools, pipelines, ML systems, and AI apps to create one searchable inventory. Map personal data, identities, and attack surfaces automatically.
Users should know whether an asset is fresh, documented, governed, and safe to use. Make trust measurable with quality signals, lineage, and risk scores.
Define policies once, route access requests automatically, track entitlements, govern AI systems, and enforce governance decisions across your entire stack.
Access requests, policy changes, AI approvals, privacy actions, and security incidents can produce review-ready evidence.
Novatria connects metadata, policy, risk, identity, workflow, and evidence into one architecture so teams can operate trust from a single control plane.
How teams put Novatria to work. We tailor each path to your stack, policies, and evidence requirements.
Request a demoConnect data systems, lineage, owners, quality signals, and access policy into one governed inventory.
Route privacy requests through intake, verification, system fan-out, vendor coordination, and evidence capture.
Map exposed assets to owners, identity context, cloud posture, remediation status, and control evidence.
Package access reviews, policy decisions, privacy actions, risk exceptions, and remediation proof for review.
Publish trusted data products with ownership, lineage, quality signals, access rules, and usage context.
Start from what you're trying to do, the problem in front of you, or where you operate — use case, challenge, or industry.
All solutionsGovern models, prompts, agents, and RAG pipelines end-to-end.
Run privacy as a program — records, assessments, and obligations.
Catalog, classify, and own data across the warehouse and lake.
Harden AWS, Azure, and GCP against benchmark controls.
Automate access, deletion, and consent request fulfillment.
Map processors, transfers, and the data they touch.
Generate audit-ready proof automatically as work happens.
Score, monitor, and re-assess third-party exposure continuously.
Detect stale users, orphaned admins, and toxic permissions.
Prove lawful basis and consent for every use of personal data.
Keep data in-region and govern every cross-border transfer.
Stay audit-ready year-round with always-on control monitoring.
Meet GLBA, PCI, and supervisory expectations with proof.
Protect PHI and govern research data under HIPAA and GxP.
Govern data to FedRAMP, CJIS, and sovereignty mandates.
Secure OT and critical-infrastructure data at scale.
Govern consumer data across commerce, loyalty, and apps.
Govern subscriber, content, and platform data globally.
Reports, briefings, research, and pulse notes on governing data, AI, privacy, and security.
All resourcesNovatria connects to your existing stack through read-only metadata paths, inherits your identity controls, and produces evidence from day one. Security, legal, and platform teams can move faster without adding risk.
Govern schemas, lineage, permissions, policies, risks, and evidence without copying customer production data.
Connect Snowflake, Databricks, BigQuery, dbt, Looker, Okta, AWS, Azure, GCP, Jira, Slack, and ServiceNow.
SSO/SAML, SCIM, RBAC, encryption, audit logs, tenant isolation, and regional residency controls.
Launch with a real inventory, policy coverage map, risk findings, and an evidence pack your teams can inspect.
Tell us what you're governing, protecting, or securing. We’ll show how Novatria works for your stack.
Request a demo