Security Operations Centers (SOCs) today face a critical overload of data. Modern organizations rely on multiple cybersecurity tools—XDR for detection, EDR for endpoint telemetry, and NVM for deep network visibility. Each produces floods of alerts, logs, and indicators.
Yet these systems rarely speak the same language.
Most case management relies on disjointed dashboards, spreadsheet tracking, and generic SIEM alerts. The result? Security teams waste time switching tools, correlating alerts manually, and duplicating investigations. These fragmented workflows weaken your response and overburden your analysts.
SOC automation isn’t just a luxury—it’s a survival strategy.
How Poor Case Management Hurts Your SOC Efficiency and Security
Fragmented Workflows
Different tools for every security layer:
- EDR handles endpoint behavior
- NVM monitors traffic anomalies
- XDR correlates user activity
- Cloud and SaaS logs pile on separately
But they don't unify incident tracking, triage, or collaboration.
No Unified Incident View
Analysts are forced to manually correlate:
- IPs in NVM logs
- File hashes from EDR
- User logins from XDR …without asset priority or timeline clarity.
Context Gaps Lead to Missed Threats
Most cases lack:
- Business asset classification
- Threat actor profiles
- MITRE mapping
- Behavioral context
Slowed MTTR, Rising Burnout
Without centralized triage:
- Triage is reactive and late
- Escalation is inconsistent
- Alert fatigue sets in
- Case quality varies shift to shift
The Cost of Poor Case Handling
- Security Risk: Missed threats, lateral movement undetected
- Operational Cost: Duplicate effort, slower MTTR, wasted budget
- Compliance Chaos: Poor evidence trail, failed audits
- Human Burnout: Alert fatigue, manual overload, low morale
The equation is simple: Detection without orchestration = chaos.
What Modern SOC Case Management Should Deliver
To address modern threats, a case management platform must:
- Aggregate Multisource Alerts From XDR, EDR, NVM, Cloud, Email—into one intelligent queue.
- Correlate + Enrich in Real-Time Auto-group related alerts by IPs, users, TTPs, and threat intel.
- Provide a Unified Incident Timeline Show “what happened, when, and where” across all systems.
- Enable Role-Based Collaboration Tiered workflows from L1 to IR, task tracking, and comment logs.
- Offer Centralized Reporting Dashboards for MTTR, MTTD, case types, severity, and response outcomes.
Introducing Peris.ai IRP: AI-Powered Case Management for SOC Teams
Peris.ai IRP (Incident Response Platform) connects detection, investigation, and response across the cybersecurity stack—without requiring analysts to jump across platforms.
Integrated Modules:
- BIMA XDR: Alerts from cloud, user, and endpoint behavior
- BIMA EDR: Endpoint and file/process monitoring
- BIMA NVM: Network visibility down to packet level
- INDRA CTI: Real-time contextual threat intelligence
- BrahmaFusion: Automated response playbooks
How Peris.ai IRP Transforms SOC Workflows
1. Automated Alert Ingestion & Case Creation
- Ingests from all detection tools
- Groups alerts by common asset, attack type, or IOC
- Pre-populates case severity and tags
2. Context-Enriched Investigation Views
- MITRE ATT&CK mapping
- Asset & user risk scores
- Threat actor attribution via INDRA CTI
- Event timeline auto-generated
3. Unified Console Across Detection Tools
- View endpoint telemetry, network logs, cloud events, and behavioral anomalies in one case
- No more tab-switching between XDR, EDR, and NVM
4. AI-Generated Case Summaries
Instant answers to:
- “What happened?”
- “Who was affected?”
- “What are the recommended actions?”
5. Tiered Analyst Collaboration
- Tasks assigned to L1 → L2 → IR teams
- Comments, evidence, and actions tracked in one audit trail
6. Trigger Playbooks Directly in IRP
- Isolate endpoints, disable accounts, block IPs—with a click
- Powered by BrahmaFusion’s hyperautomation engine
🚀 Curious how Peris.ai IRP works in action?
👉 Request a demo and see how unified case management can simplify your SOC workflow.
Use Case: Detecting Lateral Movement with Unified IRP
Scenario: Suspicious access inside the finance department
- 📍 Alert from XDR: Unusual RDP behavior
- 🌐 NVM detects: Abnormal traffic to a backup server
- 🖥️ EDR flags: Malicious process chain
Peris.ai IRP Response:
- Auto-correlation groups alerts into one case
- Timeline + CTI enrichment generated instantly
- IR playbook suggests containment steps
- L2 picks up with full incident context
- Containment executed within 15 minutes
SOC Analyst Workflow Before and After Peris.ai IRP
❌ Before IRP:
- Analysts work in silos
- High duplication, low insight
- Every shift resets context
✅ After IRP:
- One case = full context
- AI summarizes incidents
- Team collaboration = real-time and traceable
- MTTR drops, morale rises
Benefits for the Entire Security Team
L1 Analysts
- Smart triage
- Fewer false positives
- Clear escalation path
IR Leads
- Active case overview
- SLA tracking
- Decision history
CISOs
- Real-time reporting
- Visibility into exposure
- Compliance
Conclusion: Solve SOC Fragmentation with AI-Powered Case Management
The real failure point in modern SOCs isn’t detection—it’s disconnected response. Peris.ai IRP unifies your ecosystem across XDR, EDR, and NVM with:
- Real-time ingestion
- Context-rich investigation
- AI-enhanced summaries
- Human-AI collaboration
- Workflow automation
Ready to eliminate alert silos and take control of your incident response? Explore how Peris.ai IRP unifies XDR, EDR, and NVM for real-time, reliable, and resilient case management at www.peris.ai.
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