How FlightPath Supports Compliance
Business operations leaders and compliance teams need effective inbound data management tools to control data flows that are inherently beyond their control. FlightPath is a data governance gateway that enforces data contracts at the earliest possible point, where quality control leverage is highest and most cost-effective.
The FlightPath Data Compliance Gateway
Secure MFT servers handoff data files to FlightPath for validation, identification, and archiving. This first-mile addresses compliance mandates, such as SOC 2, ISO 27001, and DCAM.
- Control input and output integrity
- Apply durable labeling and identification
- Document data definitions, flows, lineage, and provenance
- Hook into enterprise observability systems
- Inventory data and enable stewardship
- Handle bulk retrieval requests by customers
- Inspect and remediate supply-chain data quality
FlightPath is a core part of the enterprise framework and evidence of data maturity.
- Enforce Strict Data Contracts
- Guarantee Data Lineage and Traceability
- Secure Identity and Immutable Versions
- End High-Risk and Expensive Manual Audits
Enforce Strict Data Contracts
Compliance failures frequently stem from third-party data feeds introducing invalid or unmapped structures that downstream systems process incorrectly.
Stop Bad Data At the Source:
FlightPath captures incoming files at the enterprise boundary, where remediation is least disruptive to business, risky, and time-consuming.
Enforce Business Contracts Adherence:
FlightPath forces inbound files to adhere strictly to agreed schemas and business validation rules. Preventing schema drift and invalid data protects the P/L, as well as financial reporting, regulatory disclosures, and other compliance sensitive points downstream.
Guarantee Data Lineage and Traceability
Compliance frameworks like Sarbanes-Oxley (SOX), GDPR, and SOC 2 require proof of data sources and handling as evidence backing up responses to findings.
Track External Data Ingress Flows:
FlightPath systematically records operational and lineage indicators immediately upon file arrival in both local metadata and central observability systems.
Integrate Enterprise Observability:
Native integrations with OpenLineage and OpenTelemetry allow compliance teams to visually see data flowing into the organization and set alerts. This automated tracking provides direct evidence to auditors.
Secure Identity and Immutable Versions
Misidentified or incorrectly handled financial and operational data poses severe business risks and audit exposure.
Create a Secure Baseline:
As files land from data partners, the system assigns a durable identity and creates an immutable version history, fully traceable from downstream.
Lower the Cost Of Reliable Forensics:
Auditors and data engineers can pinpoint precisely what file arrived at any specific moment in time, what validation and upgrading was done, where the known-good data lives, and what downstream systems were notified.
End High-Risk and Expensive Manual Audits
Manual data checking by business operations or subject matter experts is slow and error prone. Human judgement is a primary vector for compliance lapses.
Automate Data Checking:
Automated validation eliminates manual data scrubbing by Business Operations and SMEs. Precise business rules and structural schema definitions are compliance audit-friendly, as well as a cost control imperative.
Maximize Throughput:
Automated data validation enables the business operations team to handle more data partners without linear headcount increases or loss of control. Fewer errors and clear forensics free up IT to focus on adding value, not chasing losses.