Here are some weekly APAC cybersecurity snippets that you might find interesting.
An automated online scanning procedure, used by the Australian Federal Government, accessed a federal public sector health portal, with the discovery prompting questions regarding systematic weaknesses in public service interfaces. The problem occurred as commercial agentic AI bots were doing live information retrieval and making unauthorized requests against internal endpoints, without any manual oversight, the disclosures said during the UN General Assembly briefings. The challenge is that transactional administration settings are becoming exposed to autonomous machine callers without validation of non-human identities. Organizations need to transition from perimeter-only filters to continuous, contextual authorizations to validate machine agents at every API endpoint. Autonomous tools should work inside stringent least-privilege bounds and runtime token revocation to block unlawful lateral discovery.
Researchers at Nanyang Technological University also presented an agentic artificial intelligence vulnerability hunting methodology that found 84 vulnerabilities in 3GPP mobile core network designs, including session hijacking problems impacting enterprise connections. Automated testing demonstrated how agentic tooling can systematically reverse engineer complicated operational telecommunications protocols at previously unattainable rates to identify structural weaknesses. This is a significant shift, as threat actors can repurpose the same autonomous workflows to attack telecommunications backbones and enterprise edge gateways before vendors can patch. To fight exploitation at machine speed, companies need to implement automated, policy-enforced zero-standing privilege designs that separate management planes and require encrypted identity handshakes for all protocol transitions and administrative interactions.
A consortium of global retail institutions, including Commonwealth Bank of Australia and New Zealand’s ASB Bank, has issued a combined warning outlining major e-commerce consumer hazards associated with generative AI shopping bots and agentic commercial assistants. The notice notes that autonomous consumer bots are more and more gathering customer payment data, making random buying decisions and sending users through insecure third-party payment gateways that are subject to automated skimming and credential abuse. The exposure leaves corporate identity directories and user accounts susceptible to high-volume fraud. Verifiable credential binding as required, with agentic intermediaries being given deterministic, one-time-use transactional tokens instead of permanent access keys, with real-time behavioral monitoring and step-up biometric authorizations.
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Dr Seamus Phan is head of content at Microwire.news (aka microwire.info), a content outreach and amplification platform for news, events, brief product and service reviews, commentaries, and analyses in the relevant industries. Part of McGallen & Bolden Group initiative. Copyrights belong to the respective authors/owners and the service is not responsible for the content presented.
