DevTools · Cybersecurity · 50–200 · North America #b021_12

Context

We sell a cloud security analytics platform where detection teams write rules as code and use AI to speed up investigations.

Industry

DevTools & Software · Cybersecurity

Size

50–200 employees

Region

North America

Tools budget

$1K–5K per month

Needs

LLM evaluation & testing. We let AI handle parts of alert triage, and need rigorous ways to measure when its conclusions are wrong.

Today: investigation agent outputs reviewed against analyst verdicts before general availability of the AI platform · Urgency: this year

Cloud cost optimization. We promise customers lower costs than legacy tools, so our own cloud data processing spend must keep shrinking.

Today: lake-based pipeline design chosen to avoid ingest-priced storage; serverless spend tuned by engineering · Urgency: later

Test automation & QA. Rules written as code need the same automated testing discipline as software, and we must model that ourselves.

Today: detection-as-code tests run in the continuous integration pipeline; specifics not found · Urgency: later

Who decides

cto · team trial

Expects from suppliers

Evaluation tooling with security-specific test sets; Transparent pricing on compute and storage; Good fit with code-review workflows

Not a fit

Vendors locked to a single proprietary query language; Products needing dedicated on-prem hardware

Stack

cloud: AWS-class hyperscaler, serverless, data warehouse: cloud, LLM APIs in production

Buying triggers

cost pressure, AI adoption push