craftedsignal
Detection Engineering Control Plane

Your SOC is burning out and full of tech debt.

We generate guardrails around your detection rules: noise budgets, cost caps, TTP fidelity, and safe deploy/rollback, so you stop shipping noise, broken/stale rules, and detection debt. Manage your SOC like a true development factory.

Manage detection rules across Splunk, Sentinel, and CrowdStrike. Deploy safely with canary releases, blast-radius controls, and automatic rollbacks.

Detections as Code Deployment & Rollback Rule Portability & Cost Noise Management Coverage Gaps MITRE Coverage AI-Assisted Tuning Multi-SIEM Translation
Rule Insights
SOC Health
123
Noisy
42
Stale
3
Broken
5
Undeployed

Suggestion: Improve webshell coverage
AI
Modify your webshell detection rule to also work for Unix/Linux-based systems.

Impact: 0.2 alerts/d · €0.2/d · 0.1% noise · TA0002/TA0003

Canary: Encoded PowerShell
Testing & automation
Deploy a canary to ensure you properly detect encoded PowerShell payloads.

Impact: 3 alerts/d · €0.4/d · 0% noise · TA0002/TA0003

Control plane features

Fight for quality instead of fighting fires

Governance, rule lifecycle, and observability live outside every SIEM/XDR. AI-powered analysis validates rule quality, the test engine runs validation, and the orchestrator stages safe deploys with automatic rollbacks.

AI Quality & Analysis Engine

AI-powered rule analysis evaluates quality, identifies gaps, suggests improvements, and maps to MITRE ATT&CK. Automated drift detection catches when rules change in your SIEM.

Test & Validation Engine

Lint for syntax/capabilities, run positive/negative fixtures, historical replay, and continuous validation to quarantine flaky parsers or noisy rules before approval.

Deployment Orchestrator

Change windows, approvals, blast-radius controls, scoped kill switches, and rollback automation ensure every promotion obeys noise, cost, and data guardrails.

Health & Analytics Engine

SNR, TTDetect, TTRem, noise budgets, parser SLOs, and coverage heatmaps keep SOC leaders focused on detectable gaps and detection debt backlogs.

Secure Agents & Translation Sandbox

Signed bundles, outbound-only agents, and sandboxed evaluation plug into customer boundaries without exposing logs or inbound ports.

Problems we kill

The obvious SOC headaches, solved

We stop these from slowing you down.
Burnout

Diagnose problematic rules causing analyst burnout.

Noisy rules

Noise budgets and auto-rollback on breach.

Broken rules

Parser/enrichment SLO checks; drift quarantine.

Missing coverage

MITRE mapping + gap analysis before deploy.

Never-triggering rules

Shadow eval + decay tracking and retirement.

Stale rules

Confidence decay and auto-review tasks.

ATT&CK gaps

Coverage heatmap with required data sources.

Slow rules

Performance lint and cost projections before prod.

Cost surprises

Alert/ingestion projections with cost guardrails.

Drifted parsers

Data contracts and SLOs block bad deploys.

Platform drift

Portability diffs across SPL/KQL/FalconQL.

Orphaned runbooks

Runbook compliance and required context checks.

Trust & compliance

Control plane security, boundaries, and auditability

CraftedSignal stores only rules and metadata; approval workflows, RBAC, and audit logs keep every change verifiable without touching customer log data.

Data Boundaries

Control plane stores rules and metadata; customer logs stay in your SIEM. No inbound ports required.

Identity & Access

Passkey/WebAuthn plus MFA via authenticator apps. Role-based access control and approval workflows keep changes auditable.

Secrets & Keys

SIEM credentials stored encrypted. API keys with configurable expiration for integrations.

Audit & Logging

Audit logs for rules, tests, deploys, and approvals. Complete change history for compliance reviews.

Personas & journeys

Every role gets empowered

Detection engineers, SOC leads, MSSP operators, and CISOs each have their own SLOs and workflows; CraftedSignal connects the dots between code, approvals, and auditability.

Detection Engineer

Ship quality rules with AI analysis, automated tests, shadow evals, and guardrails. Get fast feedback before deploying to production.

Goal: fast feedback, reusable rules, safe deploys.

SOC Lead / Manager

Monitor noise budgets, approvals, coverage heatmaps, and detection debt so governance and drift are visible to leadership.

Goal: governance, coverage, audit-ready reporting.

MSSP Operator

Manage multiple SIEM connections from a single instance. Use groups and approval workflows to organize detection rules.

Goal: centralized management, organized workflows, consistent processes.

CISO / Compliance

Track MITRE coverage, approvals, and audit trails. Export change history for compliance reviews.

Goal: coverage reports, approval trails, exportable evidence.

Rules workspace

Edit, test, and save detection rules

Work directly in the code editor with syntax highlighting, guardrails, and browser-side saves before you deploy.

Guardrails live
Noise budget: 0.2% Cost cap: €12/d Coverage: TA0002/TA0003

Rule library

Live + shadow
Encoded PowerShell

Shadow eval · Splunk + Sentinel + CrowdStrike

Noise +0.2%
Shadow eval
Webshell Uploads

Production · WAF + Apache/IIS

Attested
Noise budget 0.1%
Suspicious Kerberoasting

Testing · Sigma → Splunk

Needs review
Portable

Active rule

Encoded PowerShell

Shadow eval
Draft
Code editor YAML · KQL · SPL
Local save persists in your browser Auto-highlights as you type Guardrails: noise, cost, coverage

Why CraftedSignal

Guardrails built for efficient SOCs

Operational discipline over meaningless dashboards. Every deploy should respect cost, noise, and data quality constraints.

Noise budgets & detection debt

Enforce per-team noise budgets and TTRem SLAs. Auto-prioritize fixes by blast radius and MITRE gaps.

Shadow eval with cost guardrails

Dry-run rules on live streams with projected alert volume and ingestion cost. Block promotion if budgets break.

Data contracts & parser SLOs

Treat enrichments and parsers as dependencies. Quarantine rules when schemas drift; alert data owners automatically.

Portability & semantic drift

Native support for SPL, KQL, and FalconQL. Drift detection catches unauthorized changes across all your SIEMs.

MSSP-grade change control

Fleet change windows, tenant isolation, scoped kill switches, and delegated approvals for managed clients.

Trust & attested content

Signed packs with provenance, SBOM, and quality gates. Certified partner program and marketplace-ready.

Metrics & ROI

Make detection discipline measurable

Report noise saved, cost avoided, TTDetect/TTRem, SNR, parser/data-contract SLOs, and MITRE coverage on a single dashboard so leadership sees continuous improvement.

Operational SLOs

TTDetect (time to detect), TTRem (time to repair), alert latency, data quality SLOs, and noise budgets per team with burn-down and breach alerts.

Quality & Coverage

SNR scoring, confidence decay, portability score, and coverage heatmaps by MITRE tactic/technique with data-source readiness.

Cost & Efficiency

Cost per signal, cheap vs high-fidelity routing, ingestion waste avoided by blocking rules on bad parser/enrichment contracts.

Dashboard outline

Top KPIs (SNR, noise burn, TTDetect, TTRem, cost avoided), a coverage heatmap with cheapest/high-fidelity suggestions, and quick actions for incidents + detection debt.

Exports & ROI storytelling

Noise saved and cost avoided counters drop into exec packs, charts, and API feeds so you can prove detection engineering improvements.

Testing & automation

Validation pipelines with human-in-the-loop AI

Static lint, unit fixtures, replay, and continuous validation block flaky data before deploys while AI suggestions stay explainable and require analyst approval.

Static validation

Syntax checks, field guards, capability lint per SIEM, parser health, and portability scoring enforced in CI.

Unit + replay

Positive & negative fixtures, historical replay, shadow evals, and cost estimates compare implementations (cheap vs high-fidelity).

Continuous validation

Schema drift, data quality SLOs, noise budget guardrails, and auto-quarantine keep detection debt visible.

AI assistance principles

Draft rules, highlight semantic drift, and propose health fixes, but never auto-deploy. Prompts, deltas, and confidence scores stay visible, PII is redacted, and risky commands are blocked.

Human approval required

How it works

Connect → Baseline → Improve

1

Connect & import

Connect your SIEM of choice. We import your rules, baselines, mappings and alert history. On-prem or cloud based.

2

Baseline & score

We uncover noisy/broken/stale/never-triggering rules. Build SNR, cost, MITRE coverage scores.

3

Guardrails on change

Noise budgets, cost projections, parser SLOs, portability diffs. Shadow and canary before prod.

4

Deploy from Code

We generate your Detections as Code. Deploy with approvals, blast radius control and rollbacks from the web interface or code.

5

Monitor & tune

Continuously monitor SOC health: SNR, cost drift, data contracts. Auto-suggest suppressions and retire dead rules.

6

Improve your coverage

Get AI or Threat Intelligence-based suggestions for new rules to add or merge in your current rules.

What you can do after setup

Analyst/SOC lead
Approve a canary Alerts: 5/h · Noise +0.2% · Cost €12/d

Blast radius: 10% indexes · rollback armed.

Test before production Latency 1.2s · Cost guardrail

Projected alerts/cost before anything hits prod.

Tackle noise generators Reason logged

Pause with one click; auto-rollback and audit trail.

Uncover rule drift Quarantined

See affected rules, unblock once data contracts are green.

Retire stale/never-triggering Decay flagged

Decline rules that haven't fired; auto-suggest tests or retirement.

Splunk | Sentinel | CrowdStrike Jira | ServiceNow | Slack Sigma | GitHub Actions

Easy Return on Investment

Make the baby steps visible

Show the value of your disciplined detection engineering: noise saved, cost avoided, and faster time to react. Your team will love this.

12k
Noise saved alerts/mo
45%
Ingestion cost avoided
38%
Coverage gain across techniques
3x
Faster TTRem for broken rules

Executive Overviews

Scheduled Exports

Noise saved and cost avoided counters you can drop into board packs.

40%
True Positive Rate
5
Rules to Fix
87%
Rule Health Score
Workload Statistics last 12 weeks
Detection Coverage Team Workload
87%-35%

Demo scenario

Guardrails in action

Shadow → cost guardrail → portability diff → canary → rollback.

Encoded PowerShell across Splunk, Sentinel, and CrowdStrike

  • Shadow eval: 5 alerts/h, €12/d, 0.2% noise budget; latency 1.2s.
  • Portability: SPL vs KQL vs FalconQL diff highlighted; portability score 0.86.
  • Approvals: impact summary auto-sent to Slack + Jira.
  • Canary: 12% blast radius; auto-rollback threshold at +0.5% noise budget.
  • Rollback: triggered on spike; rule returns to shadow; audit trail captured.

Deploy safety controls

Kill switches

Scoped pauses with justification and audit trail.

Blast radius

Subset indexes/workspaces with rollback hooks.

Data contracts

Block deploys on parser/enrichment SLO failures.

Attestation

Signed rule packs with provenance and SBOM.

Ready to stop shipping noisy rules?

Write rules once, deploy safely to Splunk, Sentinel, and CrowdStrike. Noise budgets, cost controls, and automatic rollbacks across your entire detection stack.