tools you own
Analysts spend the day copying alerts between tools.
We build the playbooks that close the routine ones on their own.
- Alert Aggregation and Normalization
- Intelligent Triage and Correlation
- Playbook Engineering
What this program covers
- SOAR Playbooks
- AI Triage
- Incident Automation
- API Orchestration
- Case Management
- Threat Response
- Runbook Automation
- Alert Enrichment
- Evidence Collection
- Predictive Alerting
- Integration Hub
- AI Decision Support
Response is still mostly copy and paste.
now, and after
Now
After
now:Analysts triage a huge alert queue by hand and burn out.
Security operations centers (SOCs) handle thousands of alerts a day, much of it repetitive triage spread across many tools. The context switching wears people down, and when experienced analysts leave, their knowledge goes with them.
after:Triage assisted by a large language model (LLM) classifies, prioritizes and enriches alerts, so analysts spend their time on investigations that need human judgment.
now:Every investigation starts with a tour of the consoles.
Each tool has its own console, alert format and API. To work a single incident, analysts pivot between systems by hand to gather context, correlate events and take action.
after:We connect the stack through API integrations into one orchestration layer, so analysts investigate and respond from a single view.
now:The runbooks exist, and everyone follows them a little differently.
Each analyst reads a playbook their own way, skips a step or loses time on tickets, log collection and stakeholder notifications. Critical and minor incidents compete for the same attention.
after:We turn the runbooks into tested playbooks with documented decision trees, so the routine steps run consistently.
now:Evidence is gathered by hand while the incident is still open.
Logs, screenshots, network captures and timelines live in many systems, and collecting them takes analyst hours. That stretches attacker dwell time during an incident and leaves gaps in the paperwork at audit.
after:Evidence collection runs programmatically and produces timestamped, tamper-evident records for every incident.
Seven pillars, each turning a manual task into a workflow.
pick a pillar
Together the pillars turn reactive operations into a metrics-driven response capability built on security orchestration, automation and response (SOAR).
1 of 7
Alert Aggregation and Normalization
We pull alerts from firewalls, endpoint detection and response (EDR), cloud security and the SIEM into one SOAR platform. We normalize the formats, deduplicate the noise and classify events by severity, so one dashboard replaces a stack of consoles.
2 of 7
Intelligent Triage and Correlation
AI-driven triage correlates alerts across tools, spots alert storms that come from a single incident and enriches alerts with threat intelligence and historical patterns. LLM classification takes the place of static rules, which cuts the time spent investigating false positives.
3 of 7
Playbook Engineering
We design, build and test production-grade playbooks for your highest-volume incident types. Each one captures analyst expertise with documented decision trees and escalation paths, then runs on its own: pulling evidence, enriching alerts, notifying teams and starting containment.
4 of 7
Tool Integration and Orchestration
API integrations connect your SIEM, EDR, firewall, identity and cloud security tools into one orchestration layer, so actions cross tools without anyone pivoting between consoles.
5 of 7
Automated Containment and Response
Response workflows block malicious IPs, revoke compromised credentials, isolate infected endpoints and snapshot evidence for forensics. Containment, eradication and recovery follow validated playbooks, so response moves quickly.
6 of 7
Case Management and Compliance
Incidents are tracked from detection to resolution with automated case creation, evidence attachment, timelines and stakeholder notification. Compliance-ready incident reports are generated for you, along with an audit log of every response action.
7 of 7
AI-Powered Investigation and Decision Support
LLM-assisted triage writes plain-language incident summaries and root cause hypotheses. Playbook recommendations suggest response actions from incident patterns and past outcomes, and machine learning models can flag emerging threats before they trip traditional detection rules.
From manual response to AI-augmented operations.
start where you are
Every SOC starts with manual processes. The maturity model is a path from reactive, human-driven response to AI-augmented, metrics-driven security operations.
- L1
Automation Assessment
Manual Processes
Analysts respond using documented runbooks and manual tool access. Response time depends on who is available and how experienced they are. Evidence collection is inconsistent and reporting looks backward.
- Current state process mapping
- Tool integration inventory
- Top automation opportunities identified
- SOAR platform selection support
- L2
Playbook Engineering
Basic Automation and SOAR Deployment
High-volume, low-complexity playbooks are automated. Phishing triage, indicator lookups and alert enrichment run without analyst intervention, and aggregation cuts noise. Automated incident types resolve much faster.
- SOAR platform deployment
- Automation of your first high-volume playbooks
- Alert enrichment workflows
- Basic case management setup
- L3
AI-Enhanced Orchestration
AI-Assisted Orchestrated Workflows
Cross-tool workflows handle complex investigation and response. AI-assisted investigation writes plain-language incident summaries and suggests containment actions, LLM-generated reports replace manual documentation and metrics track every playbook.
- AI-assisted investigation and triage
- LLM-generated incident summaries
- Cross-tool response workflows
- Automated containment actions
- Evidence collection automation
- Operational metrics dashboards
- L4
AI-Powered Managed SOC
AI-Driven Autonomous Response
The SOC runs as an AI-augmented, metrics-driven team. LLM-powered playbooks tune themselves from outcomes and build predictive threat models, and AI handles triage, enrichment and response for known incident types. Analysts focus on novel threats and strategic improvements.
- LLM-powered self-optimizing playbooks
- Predictive threat modeling and alerting
- AI-driven alert correlation and triage
- Continuous playbook testing
- Strategic threat hunting focus
Where automation pays off first.
the usual starting points
The most common entry points for teams automating their SOC. These are illustrative scenarios.
scenario 1
Phishing defense for a large retailer
A national retail chain sees a steady flood of phishing email. AI-driven playbooks analyze each message, extract URLs, detonate attachments in a sandbox, check threat intelligence and quarantine malicious mail before users see it.
- Much faster phishing response
- Far less analyst time spent on phishing triage
- Consistent evidence for every phishing incident
scenario 2
One workflow across the whole security stack
A financial services firm runs tools across detection, identity, endpoint, network and cloud, and analysts pivot between consoles for every investigation. We integrate the tools into a single SOAR platform with cross-tool workflows that gather context from every relevant system during an investigation.
- Shorter investigations through automated context gathering
- A single console for cross-tool response actions
- Less manual data transfer between security tools
scenario 3
AI triage for the false positive pile
A managed security services provider handles a very high alert volume across many customer environments, and its analysts spend most of their time on alerts that turn out to be false positives. We deploy LLM triage that classifies alerts, correlates related events and writes investigation summaries, and it learns from analyst decisions over time.
- Less time spent investigating false positives
- LLM-written incident summaries in place of manual documentation
- Analyst capacity redirected to proactive threat hunting
Want the detail on one engagement?
the service pages
- Automation and AI Services SOAR deployment, playbook engineering, and AI security governance.
- Technology and Platform Services SIEM, SOAR, observability, and cloud infrastructure security.
Automate from alert to resolution.
Deploy your first SOAR platform, automate phishing response or build a full orchestration program. We help you respond faster with the team you have.
Frameworks in play: NIST CSF, MITRE ATT&CK, SOC 2