Software, AI and IT insights
Writing from PicNet's engineers on AI, software, cloud and the systems Australian organisations run on.
Reconciling timesheets, leave and payroll automatically
Most Australian businesses under a few hundred staff run payroll across at least three systems that never talk properly: a form or email where leave gets requested, a timesheet system where hours get captured, and an…
Ransomware early warning: watching leak sites for your name, your clients and your suppliers
On 13 August the Clop ransomware group posted claims naming Shell and Philips, and both companies confirmed they had experienced a security incident once the claims were reported (NL Times). Philips called it an…
#ransomware#threat-intelligence#incident-response#supply-chain#notifiable-data-breaches
An LLM-triaged SIEM: reviewing thousands of security events a day with a small team
Most health providers we talk to have the same shape of problem. Log sources everywhere, a security budget that funds part of one person's week, and an alert console nobody has opened since the fortnight after it was…
Practical AI in Cyber Security: the series
This series is about how a small senior team covers security operations work that normally needs a much bigger roster. Everything we write about comes out of a platform we built and still run: more than 100 scheduled…
#cyber-security#llm#security-operations#essential-eight#monitoring
Governing AI in Australian health: privacy, PHI and safe adoption
Most AI conversations we have with health organisations stall at the same point. Not "does it work", but "where does the patient data go, who is accountable when it goes somewhere it shouldn't, and who signs the…
Scanning public health signals: outbreak and drug safety news monitoring
The first post in this series described a daily digest: a scheduled job that reads a wide set of sources, summarises them, and emails one message to one group. It works because nobody is relying on it for anything time…
#public-health-surveillance#drug-safety#alerting#llm-classification#integration