Challenge
Human Managed’s platform was already strong at ingestion and analytics. As environments grew, the bottleneck shifted: experts still needed judgment time — in some flows, on the order of 30 minutes to interpret outputs and send contextual alerts customers could trust.
At the same time, data volume outgrew the comfort zone of the earlier architecture. One cited comparison: an older generation strained near ~150 TB per month of customer data; the evolved stack handles on the order of ~2 PB per month of uncompressed logs for a single large customer — a different class of scale.
The company’s principle: stay best-of-breed where it matters. For threat- and security-operations use cases, Google’s data, AI, and SecOps footprint became the backbone for faster, explainable intelligence.
Approach
Human Managed strengthened its modular, cloud-native shape on Google Kubernetes Engine (GKE) so compute, storage, and processing could scale independently.
On top of that foundation:
Google Security Operations (SecOps) accelerates ingestion and analysis of large log and alert volumes.
Vertex AI (including Gemini) supports workflows that produce prioritized, contextual customer-facing outputs — with cited targets on the order of 15 minutes for remediation-style guidance when paired with Google Threat Intelligence / Mandiant expertise.
BigQuery, Dataplex Universal Catalog, and related data services keep governance and analytics coherent as pipelines widen.
Saleem Javed Mohamed Ismail (Founder and Chief Data and AI Officer) describes the posture as sitting between detection and response: combine statistical logic with generative models for confidence scoring, and use Google AI to explain the reasoning — aligned with Human Managed’s explainable, not opaque brand pillar.
“Nano models” and agent-style orchestration extend coverage without pretending one model does everything; customers can also dig deeper through a conversational Gemini experience where that product surface is enabled.
Impact
Operational
Manual triage effort cited down more than 60%.
Time to triage individual alerts cited from ~30 minutes to under one minute — roughly a 97% reduction in that step — so capacity returns to investigation and customer value.
Customer experience
Faster path from raw signal to prioritized, contextual alert delivery (Vertex AI–driven workflows; ~15 minutes remediation guidance benchmark cited in the case study narrative).
Scale and trust
Petabyte-scale ingestion supports large enterprises and regulated contexts where clarity and reliability are part of the product, not an appendix.
Karen Kim (CEO) frames the strategic outcome: enterprises are good at generating and storing data — Human Managed’s job is to turn that into operational efficiency, cost clarity, and new service value by composing the right cloud and AI services for each use case.
The case study also points horizontally beyond pure cyber: fraud and other high-volume operational domains benefit from the same context + speed pattern.