Security Analytics
Detection engineering, threat hunting, and data pipelines that turn telemetry into decisions. We help teams find signal, reduce noise, and measure coverage.
“More telemetry does not automatically create signal.”
Security teams often collect large volumes of data without the visibility, enrichment, detection logic, or measurement needed to act on it. Security analytics turns telemetry into useful coverage by connecting data quality, threat hunting, detection engineering, and offensive validation.
Where telemetry becomes coverage.
Work can focus on attack-surface visibility, telemetry gaps, data pipelines, threat hunting, or detection logic depending on where your team needs better signal.
Attack Surface Analytics
Models of assets, services, identities, and exposure paths that help teams understand what can be reached, how it is connected, and where coverage should improve.
Telemetry Gap Assessment
Structured analysis of what your detection stack can and cannot see, grounded in the attack paths, data sources, log levels, and parsing quality needed for useful detections.
Security Data Engineering
Pipelines, schemas, enrichments, and data contracts that make security telemetry queryable, reliable, and easier to use across hunting, detection, and reporting workflows.
Threat Hunting
Hypothesis-driven investigations that search for adversary behavior, living-off-the-land activity, control gaps, and precursors to impact that may not trigger existing alerts.
Detection Engineering
Design, tuning, and validation of detection logic across SIEM, EDR, cloud, identity, and application telemetry, informed by how attack techniques actually appear in data.
How we move from telemetry to coverage.
Analytics work starts with the questions your team needs to answer, then maps data, detection logic, validation evidence, and measurement back to those decisions.
From scope
to debrief.
Each phase has defined entry criteria, evidence requirements, and hand-off points. Your team sees findings as we discover them, not in a final report dump.
- 01 — Objectives & Coverage Questions
- 02 — Telemetry & Data Quality Review
- 03 — Threat-Informed Prioritization
- 04 — Analytics Development & Validation
- 05 — Operationalization & Measurement
Objectives & Coverage Questions
Define the security questions, attack paths, business constraints, platforms, and reporting needs the analytics work must support.
Telemetry & Data Quality Review
Inventory data sources, assess collection quality, review parsing and enrichment, and identify the gaps that limit detection or hunting.
Threat-Informed Prioritization
Prioritize telemetry, hunts, and detections against the adversary behaviors and exposure paths most relevant to your environment.
Analytics Development & Validation
Build or tune detections, queries, pipelines, and hunt logic, then validate that the output is explainable, actionable, and grounded in real data.
Operationalization & Measurement
Document ownership, operating guidance, validation steps, and coverage measures so your team can maintain and improve the analytics over time.
Signal your team can measure.
Outputs show what telemetry exists, where visibility is missing, which detections matter, and how coverage can improve over time.
Coverage & Signal Assessment
A clear view of current telemetry, detection coverage, visibility gaps, and the areas where better data or analytics would improve decisions.
Detection Logic Package
Detection rules, queries, analytics, and documentation tuned to your environment and mapped to the behaviors they are designed to identify.
Threat Hunt Findings
Hunt hypotheses, evidence reviewed, findings, false-positive considerations, and recommendations for new or improved detections.
Telemetry Gap Report
Prioritized recommendations for missing data sources, weak log quality, parsing issues, enrichment needs, and collection changes that block coverage.
Pipeline & Measurement Guidance
Schemas, pipeline notes, validation checks, operating guidance, and metrics your team can use to maintain and measure analytics quality.
Common questions
The questions we hear most when scoping security analytics engagements.
We work across common SIEM, EDR, cloud, identity, and data platforms, including Splunk, Microsoft Sentinel, Elastic, CrowdStrike, SentinelOne, and native AWS, Azure, and GCP tooling. Detection logic and queries are written for the platforms your team operates.
Managed services operate tooling or monitoring on your behalf. Security analytics work improves the data, detections, hunts, and measurement your team uses. The goal is to transfer capability and make your existing program more effective.
Yes. Early programs often benefit from telemetry prioritization, foundational detection logic, clear ownership, and a practical coverage model. We can help define what to collect first and how to measure whether it is useful.
Validation depends on the detection and environment. We use controlled test activity, known datasets, query review, purple-team exercises, or adversary simulation evidence to confirm that detections fire, produce useful context, and can be investigated by the team.
Prioritize the sources that support the attack paths and decisions your team cares about most. Identity, endpoint, cloud, SaaS, application, network, and DNS telemetry may all matter, but the right order depends on your environment and coverage goals.
Where better signal can go next.
Use analytics work to guide penetration testing, validate adversary simulations, or build engineering workflows that keep coverage measurable.
Penetration Testing
Practical offensive security testing across applications, networks, cloud, AI systems, and connected devices. We find the attack paths scanners miss and explain what matters first.
Learn moreAdversary Simulations
Red-team and purple-team operations modeled around the threats most relevant to your business. We test prevention, detection, and response against realistic attack paths.
Learn moreOffensive Security Engineering
Engineering support for teams that need more than reports. We build tools, workflows, and test infrastructure that make offensive security faster and more reliable.
Learn moreBring the telemetry.
We will find the signal.
Tell us what your team needs to detect, hunt, measure, or explain. We will assess the data, prioritize the coverage gaps, and build analytics your team can use.
Better telemetry. Clearer coverage. Decisions your team can defend.