DevTools · Cybersecurity · 200–1000 · North America #b021_02

Context

We run a managed detection and response service that blends human analysts with our own automation platform for mid-sized and large organizations.

Industry

DevTools & Software · Cybersecurity

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

LLM evaluation & testing. We ship AI assistance into analyst workflows and need a reliable way to test its answers before customers ever see them.

Today: analyst feedback loop on machine-written detection explanations inside the company's own automation engine · Urgency: now

Incident management & on-call. Every customer alert can turn into an incident, so our paging, escalation and handoff tooling must never be the weak link.

Today: own operations workbench routes alerts to analysts with automated response actions · Urgency: this year

Audit evidence collection. Enterprise buyers ask for detailed control evidence each renewal, and assembling it still pulls engineers off product work.

Today: control evidence compiled by engineers ahead of each enterprise renewal; typical for size, not found · Urgency: later

Who decides

cto · security review

Expects from suppliers

Clear accuracy metrics for any AI component; Strong API coverage for our automation platform; Responsive support during live incidents

Not a fit

Black-box models with no way to inspect outputs; Point tools that duplicate our own detection engine

Stack

cloud: AWS-class hyperscaler, LLM APIs in production, CI/CD pipeline in place

Buying triggers

AI adoption push, scaling transaction volume