SIEM management, intrusion detection and prevention, endpoint defense, and 24/7 monitoring — delivered by senior practitioners who treat your infrastructure like their own. No dashboards handed to you. No alerts without context. Defense that actually works.
The Defensive Stack
A modern defensive posture isn't a single product — it's a layered architecture. We implement, integrate, and continuously tune each layer so they work in concert rather than producing a flood of disconnected noise that exhausts your team and buries real threats.
On Alert Fatigue
The average enterprise SIEM generates over 10,000 alerts per day. Without proper tuning, 70% of them are false positives that consume analyst time and desensitize teams to real threats. Our tuning methodology cuts false positive volume by 73% within the first 30 days of deployment without reducing detection coverage.
Coverage Metrics
Metrics reflect rolling 90-day averages across active client environments. True and false positive rates are validated against confirmed incident data and analyst review logs.
Our Toolkit
We work with the tools that fit the environment — not the ones that fit a vendor contract. Below is a breakdown of the platforms we deploy, tune, and operate across client engagements. Common platforms are paired with specialized tools most teams never think to use.
Splunk Enterprise Security
Log Aggregation — Correlation — Alerting
The industry's dominant SIEM platform. We build custom correlation searches, ESCU content packs, and adaptive response actions. Our deployments include tuned risk-based alerting (RBA) frameworks that prioritize high-fidelity signals over raw volume.
Elastic SIEM (ELK Stack)
Open-Source SIEM — Log Pipeline — Detection Rules
Elasticsearch, Logstash, and Kibana with Elastic Security for teams needing a cost-effective, highly customizable SIEM. We build detection rule sets aligned with MITRE ATT&CK and configure ML-based anomaly detection jobs for behavioral baselining.
Wireshark & Zeek
Packet Capture — Protocol Analysis — Network Logging
Wireshark for deep packet inspection and forensic traffic analysis. Zeek (formerly Bro) for high-throughput network metadata generation — connection logs, DNS queries, HTTP headers, SSL certificates — indexed and fed into the SIEM pipeline for correlation.
Suricata
Inline IDS/IPS — Signature & Behavioral Rules
High-performance, multi-threaded IDS/IPS engine deployed inline for active blocking or in passive tap mode for detection-only deployments. We maintain custom Suricata rule sets integrating Emerging Threats Pro signatures with environment-specific behavioral logic.
CrowdStrike Falcon
Endpoint Detection & Response
AI-native EDR with process tree visibility, automated containment, and threat graph correlation. We manage Falcon deployments including prevention policy tuning, custom IOA (Indicator of Attack) rules, and integration with SIEM pipelines for unified alert management.
SentinelOne Singularity
Autonomous EDR — Rollback — XDR
Autonomous threat response with behavioral AI that acts without requiring cloud connectivity. Used in environments with strict data residency requirements. We configure threat response policies, manage exclusion lists, and integrate storyline data into SIEM correlation rules.
Wazuh
Open-Source XDR — Host IDS — Compliance
Open-source, production-grade SIEM and HIDS that punches above its weight for teams with limited budgets. We deploy Wazuh agents across Linux, Windows, and macOS endpoints, configure active response rules, and build compliance dashboards for PCI-DSS and HIPAA frameworks.
Arkime (formerly Moloch)
Full Packet Capture — Indexed PCAP — Long-term Retention
Large-scale, indexed full-packet capture and search platform built by AOL/Yahoo. Arkime stores raw PCAPs searchable by IP, protocol, user agent, certificate, and more — giving incident responders the ability to reconstruct sessions from weeks prior. Underused, extremely powerful.
Rarely deployed outside enterprise SOCs
Velociraptor
Digital Forensics — Live Response — Threat Hunting
An endpoint visibility and live response platform designed specifically for incident responders and threat hunters. Velociraptor uses VQL (Velociraptor Query Language) to collect forensic artifacts, hunt for IOCs, and run live triage queries across thousands of endpoints simultaneously.
Known primarily within DFIR community
Sigma Rules Framework
Detection Rule Standard — SIEM Agnostic
Sigma is the vendor-neutral detection rule format for SIEMs — the equivalent of Snort rules for network traffic, but for log-based detection. We maintain and convert Sigma rule sets across Splunk, Elastic, and QRadar, ensuring detection content is portable and not locked to any single platform.
Widely unknown outside detection engineering teams
MISP
Open-Source Threat Intelligence Platform
Malware Information Sharing Platform — used by national CERTs and enterprise threat intelligence teams to share, store, and correlate indicators of compromise. We use MISP to feed enriched IOCs into SIEM correlation rules and automate threat intelligence ingestion pipelines.
OpenSearch Security Analytics
AWS-Native SIEM Alternative
The AWS-maintained fork of Elasticsearch with a built-in Security Analytics module. Ideal for organizations already running on AWS infrastructure. We deploy OpenSearch as both a SIEM backend and a log retention layer, integrating with Security Lake and CloudTrail for native cloud detection.
Operational Cadence
Continuous monitoring doesn't mean staring at a screen all day. It means having the right automated systems catching the right signals, with human analysts validating, triaging, and responding at a defined cadence. Below is how we structure that cadence for active client environments.
True vs False Positive Reality
In a well-tuned environment, our clients see roughly 94 true positive alerts confirmed per 100 investigations — and the false positive rate drops below 12% within the first month due to active tuning. Untuned environments typically run at 40–60% false positive rates, burning analyst hours on noise. We fix that first.
| Activity | Frequency | Owner |
|---|---|---|
| Alert triage & initial investigation | Continuous | SOC Analyst |
| SIEM rule tuning & false positive review | Weekly | Detection Engineer |
| Threat hunting — hypothesis-driven | Weekly | Senior Analyst |
| IDS/IPS signature update & validation | Bi-weekly | Detection Engineer |
| EDR policy review & exclusion audit | Monthly | EDR Admin |
| Full detection coverage gap analysis | Monthly | Lead Analyst |
| Executive security posture report | Monthly | Account Lead |
| Purple team exercise (offense vs defense) | Quarterly | Joint Team |
Deployment Process
Every defensive deployment starts with understanding what you have — not selling you a product. We assess your existing log sources, network topology, and endpoint fleet before a single agent is deployed. The result is a stack that fits your environment rather than one that fights it.
Environment Discovery
Inventory all log sources — firewalls, endpoints, cloud infrastructure, applications — and assess current visibility gaps. We map what you can see versus what can be exploited.
Architecture Design
Select the SIEM, IDS/IPS, and EDR stack appropriate for your environment scale, budget, and compliance requirements. Design log pipelines, data retention policies, and alert routing.
Deployment & Integration
Deploy agents, configure log forwarders, implement network sensors, and integrate all data sources into the SIEM pipeline. Build initial detection rule sets aligned to MITRE ATT&CK for your threat profile.
Tuning & Baselining
Run the environment for 14–30 days to establish behavioral baselines. Actively tune rules to eliminate false positives, refine detection thresholds, and calibrate IPS prevention policies against your traffic profile.
Continuous Operations
Ongoing 24/7 monitoring, alert triage, threat hunting, and monthly reporting. The stack evolves as your environment changes — new cloud services, acquisitions, product launches — coverage follows.
Built on Proven Platforms
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Most organizations run tools they can't see into. We build defenses you can measure — true positives that catch real threats, false positives that don't consume your team, and a monitoring cadence that keeps you ahead of what's coming.
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