Data Governance — Classification, Retention & Lineage
Data Governance for Regulated Organizations.
Regulators don't just examine your technology — they examine your data. What you hold, where it lives, how long you keep it, who can access it, and what your AI tools do with it. Data governance is the control layer that makes every other governance program defensible.
Classification. Retention. Lineage. Access. Continuously maintained.
The Regulatory Reality
Data Governance Failures Have a Price Tag
SEC, FINRA, and HIPAA enforcement around data governance — records retention, access controls, off-channel communications, and AI data practices — is accelerating. The firms being examined are not outliers.
$600M+
SEC civil penalties against more than 70 firms for recordkeeping failures in fiscal year 2024 alone — including its first cases against municipal advisors
Source: SEC Press Release 2024-1866 years
Core retention period for broker-dealer records under SEC Rule 17a-4, which FINRA Rule 4511 requires members to follow
Source: SEC Rule 17a-4; FINRA Rule 4511
Nov 2025
The SEC's 2026 examination priorities name firms' use of AI and automated technologies as a focus — including whether actual AI use matches what firms tell clients and regulators
Source: SEC Division of Examinations, FY2026 Examination Priorities$3M
Largest HIPAA settlement of 2025 — alleged Security Rule and Breach Notification Rule violations at a single provider
Source: HHS OCR resolution agreementsCapabilities
What Data Governance Covers
Data governance is not a one-time audit. It is a continuous operational function — classification maintained as new data enters, retention enforced automatically, access reviewed on an ongoing basis, and AI data trails built in real time.
Data Classification & Inventory
Identify and classify every data type across your environment — PHI, PII, financial records, privileged communications, and AI-generated content. You cannot govern data you cannot see, and regulators expect you to know exactly what you hold.
Records Retention Management
Implement and enforce retention schedules aligned to FINRA Rule 17a-4 (6-year minimum), HIPAA's 6-year retention requirement, SEC books-and-records rules, and state-specific obligations. Automated destruction after retention periods expire.
Data Lineage & AI Audit Trails
Track what data flows into AI tools and what comes out — building the audit trail regulators are beginning to require. When an examiner asks what your AI model consumed, you have an answer ready.
Access Control Governance
Define and enforce role-based access controls with continuous monitoring and audit logs. Every access event is documented. Every privilege escalation is reviewed. Your access posture is defensible before an examiner pulls the log.
Off-Channel Communications Capture
Capture and retain business communications across text, WhatsApp, personal email, and collaboration tools. The SEC alone imposed more than $600 million in civil penalties against over 70 firms for recordkeeping failures in fiscal year 2024 — this is no longer optional.
Data Privacy & Consent Management
Operationalize CCPA, state privacy law, and HIPAA minimum-necessary requirements. Maintain documented consent records, honor data subject requests, and demonstrate privacy-by-design practices to regulators and clients.
Data + AI
Data Governance Is the Foundation of AI Governance.
Every AI tool your organization uses consumes data. That data may include PHI, client financial records, privileged communications, or confidential business information. Without data governance, you cannot answer the questions regulators are now asking about AI.
Centience builds the data governance layer first — classification, retention, lineage, and access controls — so that when AI governance overlays it, the foundation is already there. The result is an AI program that can demonstrate, document, and defend every data decision it makes.
See AI GovernanceKnow exactly what data you hold, where it lives, and who can access it — before a regulator asks
Maintain retention schedules automatically — no scramble before an exam or litigation hold
Build the AI audit trail that SEC, FINRA, and HIPAA examiners are beginning to require
Demonstrate data lineage for every AI tool your organization uses
Capture off-channel communications across all platforms, not just email
Reduce breach impact — governed data classification limits exposure when incidents occur
Regulatory Alignment
Frameworks We Align To
Data governance programs at Centience are built around the frameworks and regulations your examiners will reference.
FINRA Rule 17a-4 — Electronic records retention
SEC Books and Records Rules (15c3-3, 17a-3/4)
HIPAA Privacy & Security Rules — PHI data governance
NIST Privacy Framework
NIST AI RMF — AI data governance requirements
CCPA / State Privacy Law compliance
ISO/IEC 27001 — Information security data controls
NY DFS Part 500 — Data retention and access requirements
FAQ
Data Governance — FAQ
How long do we have to keep records?+
It depends on the rule that governs the record, not on a single universal period. Broker-dealers work to SEC Rule 17a-4, which sets a core six-year period for many categories with the first two years readily accessible. Investment advisers work to Advisers Act Rule 204-2. Healthcare organisations have their own schedules under HIPAA. The common failure is applying one retention period to everything and discovering it was the wrong one for a category.
What does immutable retention actually require?+
For broker-dealer electronic records, Rule 17a-4 permits either the traditional non-rewritable, non-erasable approach or the audit-trail alternative added in the 2022 amendments, which must allow the original record to be recreated if it is modified or deleted. Both are acceptable; what is not acceptable is storage a user can quietly alter with no way to detect it.
Do messaging and collaboration tools count?+
If business is conducted on them, yes. Off-channel communications have been among the most heavily penalised recordkeeping failures in recent years, and the pattern is consistent — the firm archived email thoroughly and treated everything else as informal. Teams, Slack, text and the output of assistants embedded in those tools are all business communications when they carry firm business.
What is data lineage and why do examiners care?+
Lineage is the record of where data came from, what transformed it and where it went. It matters because most difficult questions are lineage questions: which system produced this figure, who could reach this file, what did this model see. Without it, answering means reconstructing from memory, and reconstruction is exactly what an examiner is testing for.
Is classification worth the effort for a small firm?+
A proportionate version is. You do not need an enterprise taxonomy — you need to know where regulated data lives, who can reach it, and how long it must be kept. That much is achievable quickly and is the foundation every other control depends on. Elaborate schemes that nobody maintains are worse than a simple one that stays current.
Industries We Serve
Centience delivers data governance programs for regulated organizations with the most demanding data obligations.
FINRA 17a-4, SEC books and records, off-channel communications, and AI data trail requirements.
PHI classification, HIPAA minimum necessary, breach notification readiness, and AI clinical data governance.
Privilege protection, matter data classification, e-discovery readiness, and AI research tool governance.