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SOC Teams vs. AI: Why Smarter SOCs Need Both AI Power and Human Expertise
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SOC Teams vs. AI: Why Smarter SOCs Need Both AI Power and Human Expertise

August 20, 2025 | by

The cybersecurity landscape is undergoing a seismic shift, with artificial intelligence (AI) promising to revolutionize Security Operations Centers (SOCs). But let’s cut through the vendor hype: AI is a game-changer, yet it’s not the silver bullet many hoped for. At Eventus Security, we’ve uncovered a counterintuitive truth through our Adaptive Managed Detection and Response (MDR) service: the more we rely on AI, the more human expertise becomes indispensable. This blog explores the AI-SOC paradox, why it matters to security leaders, and how to build a future-ready SOC that leverages both AI and human ingenuity.

Artificial Intelligence (AI) has become the cornerstone of modern Security Operations Centers (SOCs), with 89% of organizations adopting AI-driven tools to combat escalating threats (Swimlane, 2024). Yet, despite this investment, breach response times have improved by only 12%. This gap reveals a critical truth: AI alone cannot outsmart today’s threats.

At Eventus Security, our experience with Adaptive Managed Detection and Response (MDR) underscores a counterintuitive reality: The more SOCs rely on AI, the more they need human expertise. Here’s why—and how to bridge the gap.

The Limits of AI in Cybersecurity

AI excels at processing vast datasets and automating repetitive tasks like log analysis or initial triage. However, our research shows:

19% of critical threats require human intervention to correct AI’s misses or misclassifications.

AI struggles with contextual nuance, especially when attackers mimic legitimate behavior (e.g., "low-and-slow" attacks).

40% of SOC analysts’ time is wasted on false positives, as AI lacks business-specific awareness (Ponemon Institute).

Case Study: The $2M Near-Miss

One client’s AI system flagged irregular cloud access as "low-risk," dismissing it as routine admin activity. Our threat hunters spotted red flags:

Timing: Activity began 48 hours after a senior employee’s departure.

Pattern: Individually benign actions formed a reconnaissance sequence.

Business Impact: Targeted data included unreleased product designs (valued at $2M).

Result: Human intuition prevented a catastrophic breach—proving that AI needs a human backstop.

Where AI Falls Short (and Humans Step In)

1. Lack of Business Context

AI tools are trained on generic datasets, not your organization’s unique environment. For example:

Is one failed CEO login attempt riskier than 10 HR portal attempts? AI guesses; humans know.

2. Adversarial Evasion Tactics

Attackers exploit AI’s blind spots by:

"Low-and-slow" attacks: Spreading malicious activity to mimic normal traffic.

AI-generated phishing: Flawless grammar bypasses NLP filters.

3. Alert Fatigue and Burnout

52% of cybersecurity professionals consider leaving due to stress (ESG, 2023).

Over-reliance on AI worsens this by flooding teams with false positives.

The Eventus Solution: Adaptive MDR

Our Adaptive MDR service harmonizes AI’s speed with human judgment:

1. AI for Speed, Humans for Strategy

AI automates log analysis, reducing noise by 85% in real time.

Analysts focus on the 15% of high-risk alerts that matter.

Example: AI flagged unusual PowerShell execution. Within 5 minutes, our team linked it to a ransomware strain, traced the attack to a phishing email, and protected payment data—before encryption began.

2. Continuous Learning

Unlike static AI models, Adaptive MDR learns from analyst decisions, reducing false positives by 60% in 90 days.

Tailors detection rules to your industry (e.g., healthcare, fintech).

3. Proactive Threat Hunting

We don’t wait for alerts. Our team:

Maps crown jewels (e.g., IP, customer data).

Simulates adversary tactics to expose gaps.

Hunts dormant threats (e.g., compromised credentials).

The Future of SOCs: AI-Empowered, Human-Led

For CISOs and security leaders, the choice isn’t AI vs. humans—it’s AI and humans. The most effective SOCs will:

Use AI for scale (data processing, initial triage).

Rely on humans for judgment (context, prioritization).

Embed feedback loops to improve AI over time.

At Eventus Security, Adaptive MDR delivers:

Faster detection (AI accelerates triage).

Fewer false positives (human validation).

Earlier breach prevention (proactive hunting).

The Bottom Line

AI is a powerful tool, but it’s only as good as the team behind it. By combining cutting-edge automation with seasoned expertise, Eventus Security transforms SOCs from alert-chasers to threat-stoppers.

Ready to future-proof your SOC? Contact us to learn how Adaptive MDR can work for you.

Jay Thakker
7 + years in application security with having extensive experience in implementing effective breach and attack simulation strategies to protect against cyber threat. Skilled in Threat Hunting techniques to proactively identify and neutralize emerging threats.
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