Introduction: Why Most Networks Aren’t Truly Watched
In today’s high-stakes digital landscape, cyberattacks don’t wait for business hours—and neither should your defenses.
Enterprise environments now face relentless attacks, from zero-day exploits and insider threats to ransomware and credential stuffing. The result? Overwhelmed SOCs, burned-out analysts, and alerts buried under noise.
Here’s the truth most organizations can’t admit:
❗ No one is consistently watching their network.
Peris.ai was built to solve this. By combining agentic AI and human analysts into one streamlined defense layer, we provide real-time, contextual, and cost-effective protection—across every industry and attack vector.
1. Why Traditional Network Monitoring Is Failing
🔁 Alert Fatigue
Analysts face 10,000+ alerts per day, with 90% being false positives. Real threats are often overlooked.
🕓 Delayed Detection
Manual triage means attackers can linger for weeks, moving laterally before they're noticed.
⚙️ Tool Overload
Organizations average 45+ security tools, yet still lack unified visibility or correlation.
📉 Skill Shortages
With a global shortfall of 4 million+ cybersecurity professionals, many businesses lack 24/7 human coverage.
❌ Lack of Context
Traditional tools treat all assets equally, failing to prioritize incidents based on business-critical systems.
2. What Modern Organizations Actually Need
Modern network defense isn’t just about logs—it’s about insight.
You need:
- Always-on visibility
- Automated alert triage
- Contextual understanding of risk
- Integrated response workflows
- Human validation and escalation
3. Peris.ai’s Hybrid SOC Model: AI + Analysts in Action
Unlike traditional models, Peris.ai fuses machine intelligence with human expertise to offer:
- 24/7 monitoring with real-time alerting
- Automated threat scoring & triage
- Asset-aware decision making
- Expert analyst validation
- Rapid response via integrated platforms
This isn't outsourcing. It’s human-AI collaboration at scale.
4. Under the Hood: The Architecture of Hybrid Defense
Agentic AI
Built into BrahmaFusion, Peris.ai’s decisioning core:
- Correlates logs and behaviors across systems
- Triages alerts by severity, impact, and threat patterns
- Executes real-time responses: isolate, notify, escalate
- Detects patterns using historical anomaly analysis
Human Analysts
Supported by IndraCTI, they:
- Investigate edge-case detections
- Perform threat hunting and forensic analysis
- Refine detection logic with business context
- Communicate with clients and drive incident response
Supporting Product Stack
- NVM: Deep network visibility & protocol inspection
- XDR: Unified alert aggregation & triage
- IndraCTI: Real-time threat intelligence for validation & enrichment
- Orion: Malware analysis sandbox for suspicious payloads
- BrahmaIRP: End-to-end incident management platform
- BrahmaFusion: Automation and AI decisioning hub
AI vs Human: Division of Labor
Volume
- AI handles best: Millions of log events per second
- Human analysts handle best: Edge-case review and prioritization
Speed
- AI handles best: Automated triage in milliseconds
- Human analysts handle best: Contextual judgment, risk scoring
Pattern Recall
- AI handles best: Match against known threat signatures
- Human analysts handle best: Discover novel tactics and APT behavior
Adaptability
- AI handles best: Apply updates instantly
- Human analysts handle best: Write new detection logic and playbooks
Reporting
- AI handles best: Log actions and generate alerts
- Human analysts handle best: Notify stakeholders, draft post-mortems
Industry-Specific Impact
🏥 Healthcare
- Protect PHI & EHR systems
- Monitor lateral movement between legacy and cloud assets
💻 Enterprise SaaS
- Detect session hijacking & API abuse
- Track anomalies in auth behavior
🛒 Retail & eCommerce
- Secure POS systems & payment gateways
- Detect Magecart-style attacks
🏭 Manufacturing & OT
- Identify rogue access in SCADA systems
- Monitor industrial protocols for anomalies
What If You Don’t Have Hybrid Defense?
Without AI + Analyst coverage:
- ⏳ Dwell time increases → attackers stay undetected
- 💰 Costs rise → incident response becomes reactive and expensive
- 📉 Downtime spikes → systems stay offline longer
- 😫 SOC burnout grows → analysts overwhelmed by low-priority alerts
How Peris.ai Solves the Scaling Problem
Alert Volume
- Without Peris.ai: 10K+ daily, mostly false positives
- With Peris.ai: Auto-triaged, contextual scoring
Analyst Shortage
- Without Peris.ai: No 24/7 coverage
- With Peris.ai: AI handles L1, analysts manage L2–L3
Tool Fragmentation
- Without Peris.ai: Disjointed, siloed alerts
- With Peris.ai: Unified dashboards + integrated automation
Response Time
- Without Peris.ai: Hours or days
- With Peris.ai: Sub-10-minute median response time
Budget Constraints
- Without Peris.ai: High cost for legacy SIEM/SOC
- With Peris.ai: Modular, scalable platform pricing
📈 Explore Peris.ai’s Hybrid SOC to see how we improve security without overwhelming your team.
What You Can Do Today
- Audit your current SOC model – Who's watching when your team isn’t?
- Check alert-to-action time – Are threats responded to, or just detected?
- Evaluate hybrid options – Can your tools triage, escalate, and respond automatically?
- Start with contextual awareness – Prioritize assets and use business logic, not just severity scores
Final Thought: Intelligence Is the Real Defense
Cybercriminals never stop watching your network. Shouldn’t someone on your side be watching back?
At Peris.ai, we don’t believe in choosing between humans or AI. We believe in combining them—to scale response, reduce risk, and stay ahead of threats.
Your network deserves more than just eyes on logs. It deserves AI-enhanced human insight and a platform that works with your resources—not against them.
👁️ Ready to get eyes on everything—without drowning in noise? Start with Peris.ai today