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Look more closely for less
CPU instances 30% under the leading cloud’s cheapest matching instance, so the cost of processing more events stops limiting coverage.
Security companies and in-house security teams process enormous volumes of events, and the cost of looking is often what limits how closely they look. Compute offers the same machines as the leading cloud for less, billed by the second, so a hunt or a scan costs what it ran.
Used by security start-ups, managed security providers and Fortune 500 security teams for detection, response and threat intelligence.
What this looks like in practice
CPU instances 30% under the leading cloud’s cheapest matching instance, so the cost of processing more events stops limiting coverage.
Forensics and hunting capacity started when an incident opens and released when it closes, billed by the second.
Alert summarisation and enrichment through AI inference, 30% under the leading cloud’s model service for the same model.
Customer and case data kept apart by configuration, with a complete record of who accessed what.
Security teams often filter what they collect and shorten how long they keep it because processing costs too much. That is a risk decision made by a pricing page.
When an incident opens, responders need forensic workspaces and analysis capacity immediately, and none of it afterwards. On Compute those machines start when the incident does and stop when it closes, priced under the leading cloud for the same specification. A security start-up and a Fortune 500 SOC pay the same rate.
Detection events collected through Cloud Services queues and processed as they arrive.
Case and indicator data in managed databases priced under the leading cloud’s managed databases.
Detection rules on CodeGraph with review and CI, so every change is recorded.
Separation and access records are configured properties. For a specific attestation, ask and we will answer plainly.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
Ask us about the specific attestation you or your customers require and we will say plainly whether we hold it today. Separation, access records and residency are configured properties of the platform.
For CPU and GPU instances, managed database hours, build minutes, AI inference and support plans, 30% under the leading cloud’s published price, shown beside ours. Storage and bandwidth are priced separately.
Yes. Separation between estates is configured, and access is recorded and retained.
No. Machines are billed by the second with no reservation or minimum term.
Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.
Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.
Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.
Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.
Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.
Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.
Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.
No migration required to begin. Nothing to tear down if you stop.