EmilyAI commercial v1 went live on the first customer pilot deployment yesterday. The product is real. The internal name has stuck on the outside and the team's two years of work is, finally, in a customer's production environment as a product rather than as a service.
Six weeks to enforcement. The customer-portfolio readiness picture, the operational gotchas surfacing in the final stretch, and the things I am not seeing customers prepare for.
First Monday back, and the year ahead is unusually well-defined. GDPR May 25, EmilyAI to production in Q2, the longer-form essay file finally moving into actual prose.
WannaCry and NotPetya. The supply-chain pattern. Equifax. Uber's concealment. Emily moving from research to assist phase. The year reframed several things at once.
Six months of the assist deployment. The numbers are interesting in directions I did not predict in January, and the analyst-team feedback is the more important data than the quantitative metrics.
First Monday back. The shape of the year ahead — GDPR run-up enters its operational phase, Emily moves from shadow to assist, and the post-DNC threat landscape is the new normal.
Information operations, IoT botnets, the start of a machine-learning experiment that has a name now. The year that changed several threat models.
First few weeks of an experiment to train a classifier on our analysts' triage decisions. The early results are interesting in ways I did not expect.
First Monday of the year, kettle on, pad open. The shape of the work ahead — GDPR run-up, the Privacy Shield negotiation, Stagefright tail, and a small experiment with machine learning on SOC alerts.
The year as it actually felt. Patching marathons, an offensive-market leak, a sequence of breaches that changed threat models, and a grid outage to close the year.
First Monday back at the desk. The shape of the year ahead and the four engagements already on the books.