Where privacy meets
what's next
Product experiments at the intersection of data privacy and generative AI.
Our Premise
What if privacy and AI worked together?
Osano has spent nearly a decade helping thousands of companies manage data privacy at scale. Osano AI is where we ask the harder questions — what does it look like when AI and privacy aren’t adversaries but collaborators? These are our experiments.
Privacy-Aware AI
Can AI systems be genuinely useful and still respect data boundaries? We’re building tools that prove they can — not by restricting capability, but by rethinking the architecture from the ground up.
Compliance Intelligence
Regulations move fast. We’re exploring how AI can help privacy teams stay ahead of evolving requirements without drowning in legalese or manual review cycles.
Open Experimentation
We build, learn, share, and invite the community along. Some experiments are obvious, some are esoteric. Some experiments ship while others teach. Both matter.
Latest from the lab
View all posts →AI is starting to fail in public
Arlo Gilbert · July 22, 2026
OpenAI's own models escaped a research sandbox, exploited a zero-day, and hacked Hugging Face to cheat on an internal benchmark. Then Hugging Face's incident response ran into a second wall: every hosted model refused to help analyze the attack log. The story is a template for what running AI in production looks like now, and what every operator should have already staged before the next incident.
Neuroscience Inspired AI Memory
Arlo Gilbert · July 8, 2026
Naive RAG treats every memory like an archive drawer. We built seven layers with different decay rules, because chat that remembers like a human is harder than chat that retrieves like a search engine.
Customer data is becoming the AI battleground
Arlo Gilbert · July 6, 2026
Google widened what it retains for training. SAP banned third-party AI agents from documented APIs. Amazon is sunsetting Mechanical Turk. If you squint at these as unrelated news items, you miss the fight.