ReviewFrontiers in bioengineering and biotechnology2026
Red-teaming as an imperative for strengthening synthetic nucleic acid screening.
Review in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 authors.
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Abstract
Synthetic Nucleic Acid Technologies (SNAT) have provided unprecedented precision to engineer life and are poised to transform small-molecule manufacturing, the circular economy, health security, and food security. Yet the rapid fall in synthesis costs, the convergence with AI, and the growing democratisation of SNAT have raised significant biosecurity concerns, particularly regarding the potential misuse of this technology for nefarious purposes. As a result, the global biosecurity discourse has increasingly emphasised the need for robust oversight mechanisms to ensure that SNAT is not exploited to create biological agents with large-scale destructive potential. Current oversight mechanisms rely on sequence-of-concern (SoC) screening, customer vetting, and voluntary compliance frameworks. However, these strategies have documented limitations, including static SoC databases, bypass pathways, and gaps that widen as SNAT capabilities become more distributed and adaptable. The literature contains multiple examples of how existing safeguards can miss dangerous constructs. This makes it imperative to identify shortcomings in extant screening tools and rethink SNAT regulatory strategies toward more proactive and dynamic approaches. Red-teaming, widely used in military planning, cybersecurity, and risk management, employs controlled adversarial testing to identify vulnerabilities before they can be exploited. There has been little effort to consolidate or assess the broader potential of red-teaming in the context of SNAT biosecurity. This article will examine current red-teaming approaches relevant to SNAT biosecurity, analyse how these methods have been applied in adjacent fields, and outline how similar principles could support more adaptive and dynamic screening frameworks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.