Open Data Formats

Expanded Definition

Open data formats are standardised representations of structured information that can be read, validated, and transferred by multiple tools without relying on a single vendor’s proprietary parser. In NHI security, that usually means telemetry, audit logs, inventory exports, and detection outputs remain usable across SIEM, data lake, analytics, and automation workflows.

Definitions vary across vendors when “open” is used loosely to describe merely exportable data. In practice, the security value comes from durable schema clarity, documented field meaning, and predictable encoding that support long-term interoperability. The NIST Cybersecurity Framework 2.0 is relevant here because security operations depend on portable, actionable evidence, not just raw data movement. For NHI programs, this matters when service account events, secrets activity, and agent actions must be correlated across platforms without rewriting pipelines.

The most common misapplication is treating CSV export as sufficient openness, which occurs when the file can be downloaded but its fields, timestamps, and identifiers are inconsistent or undocumented.

Examples and Use Cases

Implementing open data formats rigorously often introduces schema governance overhead, requiring organisations to weigh portability and automation against the cost of standardisation and validation.

• Security teams export NHI inventory data in a shared schema so access reviews can be run in a separate analytics platform without manual remapping.
• Detection engineers publish authentication and secrets events in JSON or Parquet so SIEM, SOAR, and model training pipelines can reuse the same records.
• Platform teams store agent tool-call logs in an open table format so incident responders can trace execution paths across environments.
• Governance teams use portable event schemas to compare rotation and revocation activity across business units, then align findings with the Ultimate Guide to NHIs — Key Research and Survey Results.
• Teams adopt common serialisation rules aligned to NIST Cybersecurity Framework 2.0 so evidence can move between collection, analysis, and reporting stages without loss of context.

Open formats become especially useful when multiple teams need to query the same evidence with different tools, but the underlying record structure must remain stable enough to support incident reconstruction and audit.

Why It Matters in NHI Security

Open data formats reduce lock-in, but their real security value is operational: they make it easier to prove what an NHI did, when it did it, and which system observed it. That matters because NHI environments are already high-volume and hard to govern. NHIMG research shows that only 5.7% of organisations have full visibility into their service accounts, which means opaque or proprietary data layouts can deepen an existing visibility gap rather than solve it. The Ultimate Guide to NHIs — Key Research and Survey Results also shows that 97% of NHIs carry excessive privileges, making portable telemetry essential for privilege analysis and anomaly detection.

For practitioners, the governance lesson is simple: if logs, exports, and workflow records cannot travel cleanly between systems, it becomes harder to detect misuse, investigate compromise, or rotate credentials at speed. Open formats also support broader resilience goals reflected in NIST Cybersecurity Framework 2.0, especially when evidence must be retained, shared, and analysed under pressure. Organisations typically encounter the cost of poor portability only after an incident, at which point open data formats become operationally unavoidable to reconstruct activity and contain blast radius.

Related resources from NHI Mgmt Group

• How should security teams control access to sensitive data in open shares?
• How should security teams reduce open access risk in data governance programmes?
• What is the difference between data democratization and open access?
• What breaks when a customer-data API is left open to the public internet?