A declarative file that defines which modules go into a custom collector build. In security terms, it functions like a policy document for collector capability, because the contents determine what the runtime can do and what it cannot do after deployment.
Expanded Definition
Manifest.yaml is a declarative configuration file that specifies the modules, dependencies, and build options included in a custom collector package. In practice, it acts as a capability boundary: the manifest determines what the collector can observe, collect, transform, or transmit once deployed. That makes it more than a build artifact. It is a governance document for runtime scope, because the final security posture of the collector is shaped by what the manifest allows and excludes.
In security terms, the term is most useful when describing controlled tooling, inspection agents, or data collection components that must be limited to a defined purpose. The distinction matters because a manifest does not itself perform the work. It defines the build-time composition that later affects runtime behavior, similar to how policy constrains execution in broader platform security models. For identity and telemetry-heavy environments, this is especially important when a collector handles secrets, API tokens, certificates, or sensitive event data. Definitions vary across vendors, but the common thread is that the manifest is the source of truth for what is packaged into the collector.
The most common misapplication is treating Manifest.yaml as a harmless packaging detail, which occurs when teams overlook that added modules can expand data access, network reach, or privilege at deployment time.
Examples and Use Cases
Implementing Manifest.yaml rigorously often introduces build-time discipline, requiring organisations to balance operational flexibility against tighter control over collector capability.
- A cloud security team uses the manifest to include only the modules needed for endpoint telemetry, reducing unnecessary data collection paths.
- An identity engineering group packages a collector that can read authentication logs but excludes components that would expose secrets or administrative tokens.
- A compliance team reviews the manifest before release to confirm the collector cannot transmit regulated data to unsupported destinations.
- A research pipeline uses separate manifests for development and production builds, limiting production collectors to approved modules only.
- A threat-hunting team compares the deployed collector build against the manifest to verify that no unexpected capabilities were added after review.
For governance-sensitive use cases, the manifest should be treated like an auditable control point, not just a developer convenience. That is particularly relevant where collectors interact with regulated data flows or customer identity records, because build-time scope determines downstream exposure. The broader compliance logic behind this discipline aligns with frameworks such as the FATF Recommendations — AML and KYC Framework when collection logic touches identity verification, customer due diligence, or traceable evidence handling.
Why It Matters for Security Teams
Security teams care about Manifest.yaml because it is often the earliest point at which collector risk can be constrained. If the manifest is too permissive, the resulting build may include modules that broaden attack surface, increase secret exposure, or create unreviewed data paths. If it is too restrictive, visibility gaps can hide the very events the collector was meant to capture. That tension is common in logging, observability, and agent-based telemetry workflows, where teams need enough functionality to support detection without handing the collector more access than necessary.
This term also matters in identity-linked environments because collectors frequently interact with authentication data, access events, and non-human identity activity. A poorly governed manifest can let a build reach into systems it was never meant to inspect, which complicates least privilege and makes change control harder to prove. For organisations handling KYC or AML evidence streams, manifest scope can determine whether collection remains traceable and defensible under audit. Guidance is still evolving across tooling ecosystems, so teams should verify the build contents rather than assume the file name implies safety.
Organisations typically encounter the operational impact only after a collector has already been deployed with excessive modules or missing telemetry, at which point Manifest.yaml becomes the unavoidable artifact for remediation.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack surface, NIST CSF 2.0, NIST SP 800-53 Rev 5 and NIST SP 800-63 set the technical controls, and NIS2 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AC-4 | Manifest scope affects which functions and data paths a collector can access. |
| NIST SP 800-53 Rev 5 | CM-2 | The manifest governs what is included in a controlled baseline configuration. |
| OWASP Non-Human Identity Top 10 | Collector builds can influence non-human identity exposure and secret handling. | |
| NIST SP 800-63 | IAL2 | Identity data collection may affect assurance and traceability requirements. |
| NIS2 | Collector configuration can affect resilience, logging, and incident response obligations. |
Keep manifest-driven collector builds auditable so resilience and reporting duties remain supportable.
