Category: CybersecurityWhen I’m asked to audit an AI model for compliance and data leakage risk, I start with one guiding question: Where did the data come from, what happened to it, and who can access the model or its outputs? Tracing data lineage for AI models is rarely straightforward — datasets get merged, augmented, scraped, or synthesized, and models are deployed across environments....
I buy cheap smart displays to test what manufacturers cut to hit a low price. Over time I’ve learned that...
I’ve spent the last few years wrestling with the tension every ML team feels: how to move fast and still be secure....
I want to walk you through a pattern I’ve used several times in the field: rolling out incremental on-device model...
I’ve been wrestling with the same question a lot lately: if you’re working with regulated data, is it really...
I recently led a migration from password-based authentication to passkeys for a mid-size SaaS product using Okta as our...
Keeping an LLM on-device up to date in a field app is deceptively hard. Over-the-air model updates, prompt tuning...
I’ve spent the last few years helping teams build real-time features—live dashboards, multiplayer sessions, collaborative editors—and one thing keeps coming up in post-launch retrospectives: egress bills. Real-time apps are chatty by design, and pushing bits out of a cloud region to end-users...
Read more... →
I recently spent a few weekends trying to answer a practical question I keep getting from field engineers and IT managers: can you run a reliable on-device LLM for field techs on a Raspberry Pi 5? The short answer is: yes—with important caveats. In this piece I’ll walk you through the realistic...
Read more... →
I installed my first smart home hub because I wanted fewer apps, fewer latency issues, and — frankly — fewer cloud services hoarding sensor data about what I do at home. Over the years I’ve tested hubs that promise “local-first” operation and those that lean on cloud conveniences, and...
Read more... →
I spend a lot of time testing models and reading the fine print of AI evaluation papers. Over the past few years I’ve watched the same problem crop up in every product demo, policy brief, and internal risk review: generative models confidently produce false or misleading outputs —...
Read more... →
I’ve spent many hours with field technicians—on service vans, in telecom huts, and crouched under factory conveyors—watching how they solve problems with limited tools and even less patience for latency. Bringing a local LLM into that environment can be a game changer: instant troubleshooting...
Read more... →
I’ve been tracking npm supply-chain incidents long enough to know that most successful attacks share the same fingerprints — if you know what to look for, you can catch many of them before they ever touch your CI. I’m not talking about exhaustive auditing or complex formal verification here:...
Read more... →
I recently spent weeks comparing three deployment paths for large language models: using hosted API services (OpenAI, Anthropic, Cohere), running Mistral-style open models locally or on dedicated servers, and doing local fine-tuning or instruction-tuning of a model you control. Each option has...
Read more... →
Hello — I’m Anaïs Dupont. Over the years I’ve spent time inside engineering teams, poking at data pipelines, and helping organisations ask the awkward questions about what exactly is feeding their models. In this piece I’ll walk you through a practical audit mindset for enterprise AI...
Read more... →
I’ve been testing compressed vector embeddings for search pipelines for a while now, because the promise is irresistible: save storage and speed up retrieval while keeping relevance high. In practice it’s a balancing act. Below I share hands‑on experiments, the failure modes I’ve seen, and...
Read more... →
I spent the last few weeks pushing a Pixel Tablet through a set of pro-photography chores: rapid culling, raw adjustments, masked edits, and a handful of “magic” fixes that promise to save time. My aim was simple: figure out whether the Pixel Tablet’s on-device AI is fast and private enough...
Read more... →