SOC in Fast Forward: How AI Is Redefining Incident Response

🤝🏻 What if every security incident could be resolved in 30 seconds instead of 40 minutes?
At Jarix, we turned this question into reality — and the impact goes far beyond speed. We are redefining what it means to operate a SOC in 2026.

We combine tools such as Tines, AI agents, MCP Servers, and Slack to automate different types of security events.

We started with findings from AWS GuardDuty and have since extended the model to EDR, Zero Trust, and WAF, building a SOC 3.0 that is agile, scalable, and free from alert fatigue.

AI allows us to strengthen our clients’ cybersecurity processes so they can focus on what truly matters.

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What if every security incident could be resolved in 30 seconds instead of 40 minutes?

At Jarix, we turned this question into reality, and the impact goes beyond speed: we are redefining what it means to operate a SOC in 2025.

According to the Ponemon Institute, the average incident response time is 280 days. We don’t talk about days or hours. We talk about seconds.

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The real cost of manual response

AWS GuardDuty generates critical alerts, but each event required a costly manual process:

• Time per event: 20–40 minutes of a senior analyst
  
  
• Opportunity cost: USD $40–80 per event in analyst time
  
  
• Scalability: Impossible to handle more than 50–60 events per day per person
  
  
• Fatigue: Burned-out analysts, high turnover, inconsistent decisions
  
  

The result:
A senior analyst (USD $80k/year) spent 2–3 hours per day on GuardDuty alone —1,800 hours per year that could have been dedicated to threat hunting and strategic analysis.

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The architecture that changed everything

We implemented a technology stack designed to overcome the limitations of traditional RPA:

• Tines (SOAR) + AI Agents + MCP Servers + Slack
  
  
• Context-aware processing: Agents understand the full incident context
  
  
• Dynamic decisions: Intelligent per-event analysis instead of static rules
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• Native integration: A unified flow connecting the entire security ecosystem

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Use cases: from theory to measurable results

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Crypto Mining detected

• Before: 45 minutes (validation + blocking + documentation)
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• Now: 15 automated seconds with immediate firewall blocking

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Credential Compromise

• Before: 60 minutes (investigation + reset + coordination)
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• Now: 30 seconds (automatic reset + notification + full documentation)
  

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Reconnaissance Activity

• Before: 35 minutes (log analysis + correlation + decision)
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• Now: 20 seconds (intelligent blocking + escalation if needed)

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Three key lessons

1. Intelligent automation is not a cost — it is a capacity multiplier.
   Every dollar invested in automation frees 5–10 dollars in analyst time.
   
   
2. Integration beats silos.
   A unified workflow delivers more value than isolated tools, no matter how powerful they are individually.
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3. SOC 3.0 is not the future — it is the present.
   Organizations that fail to automate intelligently will fall behind in speed, accuracy, and response capability.

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The technology stack behind the difference

Why MCP Servers + Tines + AI outperform other approaches:

• Vs. traditional RPA: Context-aware vs rigid rules
  
  
• Vs. basic SIEM: Automated response vs alerts only
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• Vs. isolated tools: Intelligent orchestration vs operational silos

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Strategic impact

Today we run automations for malware handling, credential leaks, phishing, DDoS attacks, compliance responses, and more.

AI does not replace the analyst — it frees them to focus on what truly adds value: anticipating threats, developing strategy, and strengthening security posture.

Time has stopped being our enemy and has become our competitive advantage.

👉 Want to see how we implement this in organizations like yours?
Let’s talk about how to adapt this model to your infrastructure.