aceCybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations
This study examines interactions between artificial intelligence and cybersecurity across the Asia-Pacific, with emphasis on ASEAN governance, technical attack vectors and defensive trajectories. It synthesizes classifications of offensive and adversarial AI, detailing techniques such as data poisoning, model extraction, evasion attacks, adversarial perturbations and AI-driven social engineering, and highlights how agentic AI architectures expand attack surfaces via persistent memory, tool integrations and dynam…
AI-enabled offensive techniques increase cybersecurity risk in Asia-Pacific by using data poisoning, model extraction and AI-driven social engineering, with agentic AI expanding attack surfaces
Defensive AI mechanisms are themselves vulnerable to adversarial manipulation and regional governance shows capacity gradients that limit uniform adoption
Evidence
- Peer-reviewedINTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH2026-07-01
How should this claim be treated?
Truvace Impact Record TRV-2026-0124, v1: “Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations.” Truvace, 2026-07-13. /record/TRV-2026-0124 (accessed at citation time). sha256 8618f2c2db7fb4fd…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0124 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.