Articles
Articles
495 articles
From activity reporting to access and verification gates, this editorial explains how to operationalize SDLC governance for agentic coding with Copilot-style tools.
Practitioners can’t treat GitHub Copilot as “just autocomplete” anymore. Agentic coding demands audit trails, access controls, eval gates, and privacy opt-out readiness.
PMK 80/2025 turns export-tax logic into day-to-day fintech decisions: pricing benchmarks, bid-ask spreads, and redemption liquidity for digital gold across Indonesia’s islands.
Autonomous agents can execute multi-step gold workflows, but the highest risk is not the model. It is the handoffs, prices, and custody verification.
Digital assets are moving from hype to regulated finance, but the black box is custody, liquidity, and redemption mechanics--where investor protection is tested.
A resilience agenda cannot stay abstract. It must show up in port throughput, contract terms, and inventory risk controls--so manufacturing networks don’t wobble when congestion hits.
Indonesia’s fintech boom depends on controls that still struggle when PETI (illegal gold) enters bullion-adjacent flows, undermining AML/TPPU and bankability.
Agentic AI changes the software supply chain: your CI gates must prove controls for code, data, agents, and endpoints. Zero Trust and NIST guidance make it auditable.
Port delays and nearshoring shift risk onto software-managed processes. The operational answer is governed execution: telemetry, approvals, least-privilege, and audit-ready SDLC evidence.
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