The proliferation of sophisticated spyware has intensified cybersecurity risks for governments, critical infrastructure operators, and citizens worldwide. Commercial surveillance tools, advanced persistent threats, and state-aligned malware increasingly exploit zero-day vulnerabilities, encrypted communications, and supply-chain weaknesses, often operating below the threshold of conventional detection. National cybersecurity authorities therefore face mounting pressure to develop institutional capabilities that go beyond ad hoc incident response and toward systematic, evidence-driven spyware detection and attribution. Building dedicated spyware detection laboratories represents a strategic response to this challenge, enabling the integration of deep technical analysis, intelligence-led monitoring, and regulatory enforcement within a unified operational framework. From a broad perspective, this study situates spyware detection laboratories within global cybersecurity governance architectures, highlighting their role in strengthening national resilience, cross-border cooperation, and compliance with international norms on lawful surveillance and human rights protection. The proposed laboratory model combines advanced malware reverse engineering techniques such as static and dynamic analysis, behavioral sandboxing, and memory forensics with real-time threat intelligence feeds derived from open-source, commercial, and intergovernmental sources. This fusion enables early identification of novel spyware variants, infrastructure mapping, and attribution confidence building. Narrowing to national implementation, the paper outlines how such laboratories can function as enforcement-support mechanisms by producing legally defensible technical evidence to inform regulatory actions, procurement controls, and sanctions against unlawful surveillance actors. Emphasis is placed on governance structures that ensure chain-of-custody integrity, auditability, and interoperability with law enforcement, judicial bodies, and policy regulators. By institutionalizing technical expertise within a regulatory context, spyware detection laboratories bridge the gap between cyber forensics and public accountability. Ultimately, the framework advances a scalable model for national cybersecurity authorities to counter covert surveillance threats while reinforcing transparency, rule of law, and public trust in digital governance.