Minister of Digital Affairs Lin Yi-ching said Wednesday that Taiwan is pairing advanced artificial intelligence models from U.S. partners with domestic scanners to find vulnerabilities in government networks, arguing that defensive automation must move faster than agentic attack tools.
The remarks followed overseas reports that autonomous agents probed public health portals abroad. Lin told reporters the ministry is working with Anthropic, OpenAI, Google and Microsoft to obtain models cleared for sensitive scanning, while a separate legal team drafts obligations for vendors to report breaches and preserve audit logs.
Why the ministry is acting now
Taiwan’s Ten AI Initiatives plan, approved in January, treats sovereign compute and cybersecurity resilience as paired goals. MODA already runs a joint audit program for IT contractors serving agencies, launched in July after several municipalities outsourced payroll systems. Lin said AI-assisted scans will augment—not replace—human testers, but can cover patch backlogs across hundreds of subdomains overnight.
Officials declined to name which agencies are in the first wave, citing operational security, but said critical infrastructure operators in energy and telecommunications will receive playbooks on how to share sanitized findings with the National Security Bureau’s cyber center.
Regulation lag
Lin acknowledged that legislation on agentic AI may arrive after the technology shifts again. He prioritized real-time discovery over prescriptive rules, a stance that privacy advocates said needs sunset clauses so training data from government systems does not leak into commercial model fine-tuning.
Contract language now matters as much as model choice. MODA templates will require vendors to disclose when they use external AI on taxpayer-funded code, mirroring financial-sector outsourcing rules the Financial Supervisory Commission tightened last year.
Industry role
Local cybersecurity firms such as TeamT5 and multinational MSSPs bid for slots on the scanning framework. Open-source groups asked MODA to publish sanitized benchmarks so Taiwan-trained models can compete with imported weights. Lin said results will feed the sovereign AI corpus effort, which already holds billions of tokens of Traditional Chinese public-sector text for retrieval-augmented assistants.
Agency CIOs receive weekly summaries ranking unpatched CVEs; ministers want the first public metrics by year-end to show taxpayers whether the AI spend reduced mean-time-to-remediate.
Budget oversight
Legislators on the Digital Affairs committee requested a classified briefing on per-scan pricing for imported models, worried that recurring API fees could exceed on-premise red-team contracts within two fiscal years.