How do security and compliance teams work together on software risk?

Why This Matters for Security Teams

Software risk becomes a shared problem the moment control evidence has to satisfy both operational security and auditability. Security teams are usually focused on reducing exposure through hardening, patching, configuration baselines, and runtime monitoring. Compliance teams need proof that those controls are defined, approved, and still operating as intended. The gap appears when each group works from different inventories, different ticketing systems, or different definitions of “done.” The result is duplicated effort, inconsistent evidence, and control drift that is difficult to explain later. A useful reference point is the NIST Cybersecurity Framework 2.0, which reinforces governance, protection, detection, response, and recovery as connected outcomes rather than separate functions.

The practical question is not whether a vulnerability exists, but whether the organisation can show who owns the risk, what was changed, when it was validated, and whether the control still holds in production. That is where security and compliance either reinforce each other or create friction. In practice, many security teams encounter control failure only after an auditor requests evidence that was never captured at the point of change.

How It Works in Practice

The strongest operating model is a shared evidence chain that starts with software risk identification and ends with verified control persistence. Security teams typically define the technical baseline: approved configurations, patch SLAs, dependency checks, least-privilege access, and runtime validation. Compliance teams translate those activities into control statements, testing criteria, and evidence requirements. The work is not the same, but the source facts should be.

A practical workflow often looks like this:

• Security classifies the software asset, identifies threats, and assigns owners for remediation and validation.
• Compliance maps those actions to control objectives in NIST SP 800-53 Rev 5 Security and Privacy Controls or ISO/IEC 27001:2022 Information Security Management.
• Engineering produces machine-generated evidence where possible, such as configuration snapshots, scan results, policy logs, and deployment attestations.
• Both teams agree on what counts as durable proof, including timestamps, system of record, and retention period.
• Runtime checks confirm that a control still exists after deployment, not just at approval time.

This approach works best when evidence is attached to the control owner, the asset, and the release event. It reduces the common problem where a vulnerability is marked remediated in one system, but the compliant state is never validated in production. Security and compliance also need to distinguish between compensating controls and true remediation, because audit language often requires both business justification and technical verification. Where software is continuously deployed, compliance testing should be event-driven rather than quarterly, otherwise the evidence trail will always lag behind the actual state of risk. Best practice is evolving, but most mature programmes now treat ISO/IEC 27002:2022 Information Security Controls and NIST-aligned baselines as living control libraries rather than static checklists. These controls tend to break down when release pipelines are highly decentralised because no single team owns the final state of the software after deployment.

Common Variations and Edge Cases

Tighter control often increases coordination overhead, requiring organisations to balance evidence quality against delivery speed. That tradeoff becomes visible in environments with frequent releases, outsourced development, or mixed cloud and on-premise estates. In those cases, the shared evidence model still helps, but the organisation may need different collection methods for different system classes.

Some teams rely on manual attestations for low-risk internal tools, while using automated policy checks for customer-facing or regulated systems. That is a reasonable distinction, but current guidance suggests the exception should be explicit, reviewed, and time-limited. There is no universal standard for this yet. The main risk is allowing “temporary” manual evidence to become the default for all exceptions, which weakens assurance and makes control testing non-repeatable.

The identity and access layer also matters. If software risk is driven by privileged accounts, secrets sprawl, or weak service-to-service trust, security and compliance should treat those issues as part of the same control narrative, not separate workstreams. In regulated environments, the evidence model often benefits from alignment with operational standards such as ISO/IEC 27001:2022 Information Security Management and documented control ownership. For programmes with financial crime or customer due diligence implications, the same discipline can support traceable review processes linked to FATF Recommendations where identity assurance and risk verification overlap. The model becomes fragile when evidence is collected after the fact instead of during the control event, because late reconstruction rarely matches what actually happened.

Related resources from NHI Mgmt Group

• How should security teams use PAM to improve both compliance and risk reduction?
• How should security teams reduce risk in software delivery pipelines with NHI controls?
• When should security teams treat NHI governance as part of compliance work?
• How should security teams connect identity governance to risk management and compliance?