Orchestrate Security at Machine Speed.
AI-powered orchestration transforms incident response from manual triage to closed-loop automation. Detect threats, correlate alerts across your entire stack, execute production-grade playbooks, and remediate in minutes while your team focuses on strategic defense and threat hunting.
Manual Response Cannot Keep Pace with Modern Threats
SOC analysts spend the majority of their time on repetitive, manual tasks. Attackers exploit the gap between detection and response, turning minutes of dwell time into hours of damage.
Alert Fatigue and Analyst Burnout
Security operations centers process thousands of alerts daily, and analysts spend up to 70% of their time on repetitive triage tasks that AI-powered classification can handle. The cognitive load of context switching between ten or more security tools drives burnout and attrition. When experienced analysts leave, institutional knowledge walks out the door. LLM-powered triage can classify, prioritize, and enrich alerts using natural language understanding instead of static rules, freeing analysts to focus on investigations that require human judgment and creativity.
Disconnected Security Tools
The average enterprise security stack includes 60 to 80 tools from different vendors, each with its own console, alert format, and API. When an incident occurs, analysts manually pivot between systems to gather context, correlate events, and execute response actions. This tool fragmentation adds 30 to 45 minutes to every investigation. Orchestration platforms unify these tools through API integration, giving analysts a single pane of glass for investigation and response.
Manual Playbooks Don't Scale
Security teams rely on runbooks for responding to incidents, but execution is inconsistent and slow. Each analyst interprets playbooks differently, misses steps, or wastes time on administrative tasks like ticket creation, log collection, and stakeholder notification. Critical incidents take hours to resolve; minor incidents consume analysts' attention equally. Playbook automation eliminates human error and accelerates response from hours to minutes.
Manual Evidence Gathering
Incident investigations require collecting logs, screenshots, network captures, and timeline data from multiple systems. Analysts spend hours assembling evidence that could be gathered programmatically in seconds. During active incidents, this delay extends attacker dwell time. During compliance audits, incomplete evidence documentation creates findings. Automated evidence collection ensures consistent, timestamped, and tamper-evident documentation for every incident.
7 Pillars of Security Automation
Each pillar transforms a manual SOC function into an automated, measurable workflow. Together, they convert reactive operations into a proactive, metrics-driven response capability.
Alert Aggregation and Normalization
Collect alerts from firewalls, EDR, cloud security, and SIEM into a unified SOAR platform. We normalize formats, deduplicate noise, and classify events by severity. One dashboard replaces ten tool consoles.
Intelligent Triage and Correlation
Deploy AI-driven triage that correlates alerts across tools, identifies alert storms from single incidents, and enriches alerts with threat intelligence and historical patterns. LLM-powered classification replaces static rules, reducing false positive investigation time by up to 70%.
Playbook Engineering
Design, build, and test production-grade playbooks for your highest-volume incident types. Each playbook codifies analyst expertise into repeatable automation with documented decision trees and escalation paths. Playbooks execute automatically, pulling evidence, enriching alerts, notifying teams, and initiating containment actions.
Tool Integration and Orchestration
Connect your security stack through API integrations that enable cross-tool actions. Unify SIEM, EDR, firewall, identity, and cloud security tools into a single orchestration layer that eliminates manual pivoting between consoles.
Automated Containment and Response
Build response workflows that automatically block malicious IPs, revoke compromised credentials, isolate infected endpoints, and snapshot evidence for forensics. Execute containment, eradication, and recovery actions based on validated playbooks in minutes, not hours.
Case Management and Compliance
Track incidents from detection through resolution with automated case creation, evidence attachment, timeline generation, and stakeholder notification. Generate compliance-ready incident reports automatically and maintain audit logs of all response actions.
AI-Powered Investigation and Decision Support
Deploy LLM-assisted alert triage that generates natural language incident summaries and automated root cause hypotheses in seconds. Leverage AI playbook recommendations that suggest response actions based on incident patterns and historical outcomes. Enable predictive alerting through ML models that identify emerging threats before they trigger traditional detection rules.
From Manual Response to Autonomous Operations
Every SOC starts with manual processes. Our maturity model provides a clear path from reactive, human-driven response to AI-augmented, metrics-driven security operations.
Manual Processes
Analysts respond to incidents using documented runbooks and manual tool access. Response time depends on analyst availability and experience. Evidence collection is inconsistent and reporting is retrospective.
Automation Assessment
- Current state process mapping
- Tool integration inventory
- Top automation opportunities identified
- SOAR platform selection support
Basic Automation and SOAR Deployment
High-volume, low-complexity playbooks are automated. Phishing triage, IOC lookups, and alert enrichment run without analyst intervention. Alert aggregation reduces noise by 30 to 40%. Response time for automated incident types drops from hours to minutes.
Playbook Engineering
- SOAR platform deployment
- Top 5 playbook automation
- Alert enrichment workflows
- Basic case management setup
AI-Assisted Orchestrated Workflows
Cross-tool workflows handle complex investigation and response scenarios automatically. AI-assisted investigation generates natural language incident summaries and suggests containment actions. LLM-generated incident reports replace manual documentation. Metrics track performance across all playbooks.
AI-Enhanced Orchestration
- AI-assisted investigation and triage
- LLM-generated incident summaries
- Cross-tool response workflows
- Automated containment actions
- Evidence collection automation
- Operational metrics dashboards
AI-Driven Autonomous Response
The SOC operates as an AI-augmented, metrics-driven organization. LLM-powered playbooks self-optimize based on outcomes and generate predictive threat models. AI handles triage, enrichment, and response for known incident types in seconds. Analysts focus exclusively on novel threats and strategic improvements.
AI-Powered Managed SOC
- 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 Delivers First
These are the most common entry points for organizations deploying security automation across their SOC operations.
Retail Phishing Defense at Scale
A national retail chain with 5,000 employees receives 500+ phishing emails daily. We deploy AI-driven phishing playbooks that automatically analyze emails, extract URLs, detonate malware in sandbox, cross-reference threat intelligence, and quarantine malicious messages before users see them. Detection rate improves to 99%+.
- Phishing response reduced from 4 hours to under 2 minutes
- Up to 90% reduction in analyst time spent on phishing triage
- Consistent evidence documentation for every phishing incident
Integrating 15 Security Tools Into Unified Workflow
A financial services firm operates 15 security tools across detection, identity, endpoint, network, and cloud domains. Analysts pivot between consoles for every investigation. We integrate all 15 tools into a single SOAR platform, building cross-tool workflows that automatically gather context from every relevant system during an investigation.
- Investigation time reduced by up to 60% through automated context gathering
- Single console for cross-tool response actions
- Elimination of manual data transfer between security tools
AI-Powered Triage Eliminating False Positive Investigation Time
A managed security services provider processes 15,000 alerts daily across 50 customer environments. Analyst teams spend the majority of their time investigating alerts that turn out to be false positives. We deploy AI-powered triage that uses LLMs to classify alerts, correlate related events, and generate natural language investigation summaries. The AI system learns from analyst decisions to continuously improve classification accuracy.
- Up to 75% reduction in false positive investigation time
- LLM-generated incident summaries replacing manual documentation
- Analyst capacity redirected to proactive threat hunting
Explore Specific Engagements
These service pages detail the specific engagement types available within this program.
Automate from alert to resolution.
Whether you need to deploy your first SOAR platform, automate phishing response, or build a full orchestration program, we will help you respond faster with fewer analysts.
Automate Your SOC