They should link each test to a product risk, record what was tested, document what was not assessed, and keep retest evidence after fixes. The key is showing that the testing cadence is repeatable and explains why the product’s current security posture is defensible, not just that a scan or pentest happened once.
Why This Matters for Security Teams
Under the EU Cyber Resilience Act, manufacturers are expected to demonstrate that security testing is not a symbolic exercise but part of a repeatable evidence chain. For product security, that means proving the test scope, the rationale for what was tested, and how findings were remediated and revalidated. Regulators, buyers, and auditors are less interested in a single pentest report than in whether the testing program supports defensible release decisions.
The common mistake is treating scan output as proof of assurance. Automated checks are useful, but they rarely show whether the right attack paths were considered, whether the test boundary matched the product’s actual risk, or whether fixes were verified after release changes. For connected products, the security case also needs traceability across components, dependencies, and update mechanisms. Current guidance suggests manufacturers should be able to show that testing maps to the product’s threat model and lifecycle controls, not just to a checklist.
In practice, many security teams encounter weak CRA evidence only after a product has already entered the market and a gap is challenged by a customer, assessor, or regulator.
How It Works in Practice
Effective proof starts with mapping each security test to a specific product risk or abuse case. That can include authentication bypass, insecure update handling, exposed interfaces, dependency compromise, or data leakage paths. A strong evidence pack shows the objective of the test, the environment used, the tool or method applied, the success criteria, and the exact product build under assessment. If the product contains software components inherited from suppliers, the evidence should distinguish what was tested directly from what was covered through component assurance and secure integration checks.
Manufacturers should also retain the parts of the testing story that often go missing: assumptions, exclusions, and retest records. If a test did not cover a legacy protocol, a hardware pathway, or a third-party module, that limitation should be explicit rather than hidden. This is especially important because the CRA pushes organisations toward lifecycle accountability, not one-time validation. Evidence should therefore show a pattern such as baseline test, fix, retest, and release decision.
- Link every test to a named risk, threat, or security requirement.
- Keep the exact build identifier, test date, and environment details.
- Record findings, remediation actions, and retest outcomes.
- Separate direct test evidence from supplier attestations and code review results.
- Retain enough context to explain why the current posture is acceptable.
For control mapping, many teams anchor their internal evidence structure to recognised baselines such as NIST SP 800-53 Rev 5 Security and Privacy Controls, then translate that into product-specific test artefacts. This is not a CRA requirement in itself, but it helps create a consistent audit trail across engineering, security, and compliance. These controls tend to break down when testing is outsourced without preserved methods, because the manufacturer then lacks enough detail to defend scope, reproducibility, and retest quality.
Common Variations and Edge Cases
Tighter testing evidence often increases release overhead, requiring organisations to balance assurance against engineering velocity. That tradeoff becomes more visible for high-change products, agile release trains, and devices that rely on third-party firmware or cloud services. Best practice is evolving here: there is no universal standard for how much evidence is enough, so the burden is to make the justification credible, repeatable, and proportionate to product risk.
Some edge cases deserve extra care. For products with remote update capability, proof should include post-patch retesting, because a fix that works in one build can fail after integration changes. For products with AI-enabled features, security testing may also need to cover prompt injection, unsafe output handling, or model dependency risks where those features influence product behavior. For connected ecosystems, the manufacturer may need to show that the test boundary included interfaces, not just the device core. In all cases, the key question is whether the evidence demonstrates a living security process or merely a completed exercise.
The practical standard is not perfection but traceability: a reviewer should be able to see why the tests were chosen, what they proved, and what remains outside scope. That is the difference between a defensible security case and a folder of disconnected reports. Where products depend on frequent supplier changes or opaque third-party components, this guidance becomes harder to sustain because the test boundary shifts faster than the evidence can be refreshed.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10 address the attack surface, NIST CSF 2.0, NIST AI RMF and NIST SP 800-53 Rev 5 set the technical controls, and EU Cyber Resilience Act define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| EU Cyber Resilience Act | The CRA requires demonstrable security testing and lifecycle evidence for products. | |
| NIST CSF 2.0 | GV.RM-03 | Risk management supports proving tests were tied to product security objectives. |
| NIST AI RMF | If AI features are in scope, governance should cover assurance and validation evidence. | |
| OWASP Agentic AI Top 10 | Agentic features create additional attack paths that need explicit testing evidence. | |
| NIST SP 800-53 Rev 5 | CA-2 | Security assessments require repeatable, documented testing and reassessment. |
Test tool use, prompt handling, and escalation paths where autonomous agents affect product behavior.
