Papua New Guinea tightens AI rules and digital identity via SevisPass
Papua New Guinea is advancing digital reform with new cybersecurity and AI-related criminal laws, plus tighter digital identity controls. The Marape administration plans to revamp its 2016 Cybercrime Code Act. Under the updated rules, people using AI for deepfakes, voice cloning, and digital impersonation will face criminal charges. Those who upload, share, or monetize illegal AI content will also be targeted, while digital platforms and AI service providers will be held accountable.
The government is drafting final guidelines through the Department of Information and Communications Technology (DICT), the National Information and Communications Technology Authority (NICTA), and the Department of Justice (DOJ), with an expected rollout in November. The move comes amid rising cybercrime concerns in Asia and the South Pacific, with Interpol citing 6.5 billion cyber threats in 2024. Papua New Guinea’s internet access has also reportedly surpassed 2.57 million.
Separately, DICT and major telcos (Digicel, Vodafone, Telikom) are working to integrate the SevisPass digital ID into SIM self-registration in Port Moresby. The aim is to standardize identity data, reduce inconsistencies, and improve operational efficiency for trusted digital transactions. A legal framework for verifiable credentials and trusted data exchange is also being prepared.
Finally, Papua New Guinea has signed an agreement with Australia’s Queensland University of Technology (QUT) to support innovation and research, with a focus on expanding SevisPass and building digital solutions for citizens.
Neutral
This news is mainly about national AI compliance, cybercrime enforcement, and digital identity infrastructure (SevisPass + SIM self-registration). It does not directly change crypto protocol rules, token issuance, or stablecoin liquidity. For traders, the impact on major crypto markets is therefore likely indirect and limited.
Short-term, strict AI enforcement could raise general “regulatory” attention around misuse of digital assets and data, but there is no clear pathway to immediate buying/selling pressure in BTC/ETH-style markets. Long-term, better identity assurance and trusted data exchange can improve digital services adoption (including regulated digital payments), which may be a mild, second-order tailwind for blockchain use cases—yet that effect is gradual and country-specific.
Compared with past waves where governments announced digital compliance or cybersecurity frameworks, the market reaction typically stays neutral unless paired with concrete crypto policy changes (e.g., licensing regimes, tax treatment, or exchange regulations). Here, the policy focus is primarily on AI and authentication rather than on cryptocurrencies, so broad market stability effects are expected to be minimal.