How Peris.ai Uses Hyperautomation to Transform SOC Operations

The average Security Operations Center (SOC) today operates under a paradox:

• There are more cybersecurity tools than ever before.
• There is more data than analysts can possibly process.
• There are more threats than any one team or even software stack can handle alone.

And yet, most SOCs still rely on manual processes, linear playbooks, and human bottlenecks to triage, escalate, and contain incidents.

The result? Slower detection. Delayed containment. Mounting pressure. And eventually burnout.

This is not a tools problem. It’s an orchestration problem.

SOC Leaders Are Facing a Scaling Crisis, Not a Staffing One

SOCs aren’t failing because they lack people. They’re failing because the people they have are stuck in repetitive, reactive loops.

What Today’s SOC Looks Like:

• Analysts review thousands of alerts per shift, most of them false positives.
• They jump between 20 to 40 tools to correlate incidents.
• Containment actions require manual approval workflows.
• Alert triage takes 30 minutes or more per incident.
• There’s little to no visibility into the bigger threat picture.

The modern SOC was never designed to scale in this environment. But the attackers were.

The Human Cost: Burnout, Turnover, and Gaps in Defense

The emotional toll is as real as the operational one.

SOC Analyst Realities:

• 65% of SOC analysts report symptoms of burnout.
• Average SOC turnover rate exceeds 30% annually.
• L1 analysts often leave before they become fully effective.

Organizations don’t just lose productivity, they lose institutional memory, playbook expertise, and morale. And as threat complexity increases, the experience gap becomes more dangerous.

Alert Fatigue Is Killing Response Times

Key Data Points:

• Enterprises receive an average of 11,000 security alerts per day.
• Over 70% of alerts are either ignored or investigated too late.
• Median dwell time for attackers in breached networks is 22 days.

In short: attackers are moving faster than defenders can respond. And not because defenders aren’t skilled, but because they’re buried in noise.

Why Traditional SOC Architectures Fail to Scale

Tool Overload, No Integration

SOCs rely on a patchwork of vendors. EDR, SIEM, SOAR, firewall, identity systems that often don’t speak to each other.

Static Playbooks

Most SOCs use rigid runbooks that don’t adapt to context, business criticality, or real-time threat intel.

Manual Escalation Chains

Decisions like isolating a host or revoking access take too many approvals, especially after hours.

Reactive, Not Proactive

Teams only respond once a threat becomes obvious—not when it begins.

What the Modern SOC Actually Needs

To succeed against modern threats, SOCs must evolve into real-time, AI-assisted, hyperconnected environments where:

• Signals are prioritized by risk and context.
• Repetitive steps are automated instantly.
• Threat intel, detection, triage, containment, and reporting are interconnected.
• Human analysts focus on critical thinking, not clicking.

This isn’t possible with dashboards alone. It requires a hyperautomated architecture that turns chaos into clarity.

What Is Hyperautomation in the SOC?

Hyperautomation is the strategic use of AI, orchestration, playbooks, data integration, and human-in-the-loop workflows to:

• Eliminate repetitive tasks
• Correlate alerts across silos
• Automate decisions where confidence is high
• Escalate cases with enriched context
• Reduce the cognitive load on human analysts

Core Components of SOC Hyperautomation:

• Detection + Correlation (via EDR, NDR, cloud logs)
• Threat Intelligence Enrichment (real-time IOCs, TTPs, attribution)
• Automated Playbooks (predefined responses based on scenario)
• Case Management (centralized, audit-ready workflows)
• Human Escalation (only when machine confidence is below threshold)

Common SOC Use Cases That Benefit from Hyperautomation

Suspicious login from unknown country

• Without Hyperautomation: Wait for L1 analyst review
• With Hyperautomation: Auto-trigger geoblocking, session reset

Malware detected on endpoint

• Without Hyperautomation: Manual ticketing and containment
• With Hyperautomation: Auto-isolate host, log evidence

New CVE appears on public feed

• Without Hyperautomation: Email to patch team
• With Hyperautomation: Automated asset scan, patch priority scoring

User downloads malicious file

• Without Hyperautomation: Analyst Googles hash
• With Hyperautomation: File auto-sent to sandbox, verdict returned

Multiple failed logins

• Without Hyperautomation: Buried in logs
• With Hyperautomation: Cross-correlated with AD and behavior analytics

Why Hyperautomation Doesn’t Mean “Hands Off”

Automation isn’t about removing analysts. It’s about giving them better leverage.

The Human + Machine Loop:

• Machines handle what is known, repetitive, and high-volume.
• Humans handle what is unknown, novel, or risky.

This collaboration:

• Reduces errors
• Speeds up MTTR
• Creates institutional knowledge that trains future AI models

Where Peris.ai Comes In

At Peris.ai, we recognized early that scaling cybersecurity doesn’t mean throwing more humans at the problem.

It means building systems where:

• AI learns from humans
• Playbooks adapt to your environment
• Tools connect natively and work in sync
• Response is measured in minutes, not days

Powered by BrahmaFusion

Our agentic AI core performs:

• Alert triage
• Threat enrichment
• Containment decisioning
• Ticket escalation

Connected Through Peris.ai’s Ecosystem:

• XDR: Unified detection and correlation
• NVM: Network visibility and segmentation
• IndraCTI: Threat intelligence enrichment
• IRP: Incident response platform
• Orion: Malware analysis lab
• BrahmaFusion: SOAR-like orchestration & AI logic

Real Results:

• 74% reduction in average triage time
• 62% faster containment decisions
• 3.3 minutes median MTTR (from 30 minutes)
• 44% analyst workload reduction

Real-World Use Case: Telecom SOC Transformation

Before:

• 24/7 team buried in false positives
• Manual API key revocations
• Fragmented tools

After:

XDR auto-triages alerts

IndraCTI enriches with dark web context

Fusion launches playbooks for:

• Session token revocation
• Threat actor attribution
• Reporting to compliance team

Time to full resolution: 6 minutes Manual effort: < 15%

What This Means for the Future of Your SOC

If you want to:

• Reduce analyst turnover
• Eliminate missed incidents
• Lower MTTR and dwell time
• Strengthen compliance posture
• Improve executive visibility

Then hyperautomation isn’t optional—it’s foundational.

Closing: Turn Your SOC into a Strategic Advantage

The organizations that survive the next wave of threats won’t be the ones with the biggest budgets, but the ones that can detect, contain, and learn fastest.

Peris.ai’s hyperautomation platform is built for that reality. It connects your people, processes, and tools with agentic intelligence that scales with your business, not against it.

Want to see what a hyperautomated SOC looks like in your environment? Visit BrahmaFusion to explore use cases, demo our AI playbooks, or start a pilot in under 14 days.