Request
Capture the business risk, desired outcome, priority, platforms, assets, ATT&CK context, telemetry, and target date.
Detection Engineering as a Service
Turn a business risk or coverage gap into a tested, customer-controlled detection package.
Threat Foundry DEaaS connects customer-safe intake and progress tracking to governed scoping, environment strategy, multi-platform authoring, validation, tuning, approval, and delivery.
Delivery boundary
Scope and control remain visible.
Submitting a DEaaS request does not run AI, contact a provider, create a rule, or deploy content. A delivered package remains customer controlled; Threat Foundry does not silently create, enable, disable, delete, or modify provider rules.
Discuss the operating boundaryDEaaS Request and Progress
Local validation
Inspect the actual test result.
Positive, benign and missing-field controls retain their individual outcomes. Local Test Lab evidence is separate from connected-platform assurance and deployment.
Local detection tests
Scope
Review the evidence, environment, comparable coverage, missing information, platform fit, false-positive risks, and validation plan.
Engineer
Create reviewed platform candidates from one bounded detection intent with source, telemetry, field, and version lineage.
Validate and tune
Apply positive and negative tests, retain distinct outcomes, compare tuning proposals, and require independent review.
Deliver package
Produce approved customer-controlled artifacts, evidence index, checksums, limitations, implementation guidance, rollback plan, and delivery history.
Customer outcome
Evidence that can move into the next decision.
The service retains the agreed scope, review state, ownership, limitations, and follow-through instead of ending at an isolated deliverable.
Visible request lifecycle
Customer-safe intake, priority, platforms, requested outcome, progress, and input needs.
Validated detection content
Reviewed native candidates with tests, evidence, tuning history, approvals, and target-specific limitations.
Customer-controlled package
Deterministic artifacts and documentation ready for the customer's deployment and change process.
Detection coverage
From reviewed intelligence to the target artifact.
Engineer detection content across analytics, web, network and endpoint controls. Inspect each target and its validation evidence.
- Direct entry from a current reviewed CTI item
- Target-specific artifacts and readable coverage relationships
- Compare outputs and implementation requirements →
Detection platform workspace
Connected workflows
Carry intent, evidence and review through the work.
Intelligence, multistage hunting and detection strategy share a governed workflow around your existing security tools.
Detection Strategy
Explain the behavior and the evidence
ADS-aligned Detection Strategies connect the behavioral goal, technical context, assumptions, false positives, validation and investigation guidance to exact rule and chain versions.
Discuss your workflowPeer review
Review the exact version
Compare strategy revisions, collect distinct peer-review decisions and export the reviewed version with its evidence references. Documentation, technical validation and operational readiness remain separate.
Discuss your workflowMultistage attack detection
Follow one evolving investigation
Detection Chains connect ordered attack stages using stable entity identity and explicit time windows. Comprehensive CTI Auto Triage brings eligible intelligence into that shared workflow, retaining evidence, partial outcomes and recovery history.
Discuss your workflowExecution providers
Use the customer's security platform
Provider-native workflows cover Splunk, Microsoft Sentinel, CrowdStrike LogScale, Elastic Security, Google SecOps UDM Search and Palo Alto Cortex XSIAM. Each provider retains its own authorization, mappings and validation evidence.
Discuss your workflowIntelligence context
Keep the source with the decision
The Intelligence Library preserves source versions, freshness and review states. Campaign context and saved hunt intelligence assessments connect the selected evidence without asserting attribution.
Discuss your workflowEveryday operations
Keep recurring work understandable
Actionable notifications, explicit schedule cadence and query windows, and native contextual Help keep the next review step visible. Forge assists with drafting while engineers retain their edits and decisions.
Discuss your workflowExecution, fixture validation, representative-data qualification, live validation and deployment are separate, provider-specific facts. Export-only targets are identified separately.
Inside Detection Studio
Plan, build, validate, deliver and improve.
Workspaces, assigned work and the Rules Library keep source evidence, target readiness and exact versions connected throughout the detection lifecycle.
Authoring
Build Sigma, YARA and native content
Use visual and expert authoring, inspect translation and feasibility, and preserve target-specific semantics. Traditional YARA file rules remain distinct from Google SecOps YARA-L analytics.
Tests and validation
Inspect the condition behind the result
Test Lab uses positive and negative controls with condition traces. Validation Campaigns retain platform-specific results, evidence age and missing prerequisites for the exact detection version.
Health and tuning
Keep the delivered detection current
Follow the Lifecycle Board, Detection Health, Assurance and native inventory drift. Review performance evidence and tuning proposals, retest changes and export the approved delivery package.
Detection Exchange supports reviewed, tenant-opted-in sharing of eligible general detection content. CTI-derived candidates remain private; importing or sharing a rule does not deploy it.
Start with the workflow
Discuss Detection Engineering as a Service for your team.
Bring a business risk or coverage gap, target platforms, available telemetry, validation constraints, and delivery process. We will map the first governed package.
[s] = demonstration data