Exploring Cutting-Edge Technology in AI, Machine Learning, and Data Analytics
Vulnerability discovery has become fast enough that triage and remediation are the bottleneck. Most organisations still run a patch cadence designed for the era when finding the flaw was the slow part.
Our audit read the source files. The source files were correct. The shipped pages were not — and the gap was 3,226 links wide. What it costs to measure the artifact your users actually receive.
A provider announced model decommissioning with three days' notice. Two of our systems depended on those models. Here is what that exposes about the rent-versus-own decision, and the four controls that make a deprecation notice boring.
Everyone tests the code. Almost nobody tests the checks that guard it. Here is a pipeline where every one of nine gates is fed a deliberately broken artifact on demand, and any gate that passes is treated as the defect.
Five failures from one week of AI-assisted engineering, each caught late because a check reported success while measuring the wrong thing.
The post-mortem on a real production run: 644 items processed, 509 scheduled, 135 quarantined, 13,044 lines of validated data. Plus the 287-line gate-integrity meta-gate that makes those checks un-bypassable.
Ashish Ganda is the founder of Ganda Tech Services, a Sydney-based technology consultancy helping Australian businesses grow through cloud, web, and mobile solutions. GTS operates through three specialised divisions: Cloud Geeks for IT infrastructure and cloud, Cosmos Web Tech for web design and SEO, and Awesome Apps for mobile app development.
With 30+ years across research, predictive analytics, data warehousing, project management, and enterprise software — and 13 years running Cosmos Web Tech since 2012 — Ashish writes about the technologies shaping Australian business, from AI and machine learning to practical IT strategy.
Join me in discovering the latest developments in artificial intelligence, machine learning, and data analytics.
Let's Connect