Is AI Solving Alert Fatigue — or Just Shifting the Problem?

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AI in Cybersecurity: Smart Defense or a New Risk?

AI promises to save time, cut through noise, and transform cybersecurity. But what happens when the technology meant to reduce alerts starts raising new red flags?

In my previous article, I explored one of the biggest challenges faced by modern Security Operations Centers (SOCs): Alert Fatigue, the overwhelming flood of alerts that security teams must process daily. I examined how Artificial Intelligence (AI) and automation can help reduce the burden on analysts.

Since then, I’ve found myself asking deeper questions: Can AI truly solve this problem? Or is it just changing its shape?

This article takes the conversation a step further. It is based on real-world insights, including expert perspectives and field experience. I’ll review the benefits, risks, and strategies for using AI in cybersecurity, through the lens of expert insights and system-level thinking.

The Benefits of AI in Cybersecurity

According to Tali Gazit, cybersecurity and privacy expert and co-founder of Persist Security, AI strengthens organizational defense in three key areas:

• Real-time attack detection: AI-based systems can analyze attack patterns and detect anomalies faster than human analysts.
• Automated threat response: AI tools can instantly neutralize threats, block suspicious access, and contain damage before human intervention is required.
• Big data analysis: AI processes millions of events to identify hidden links between threats and even detect zero-day attacks.

 Smarter Detection and Asset Management

Guy Horesh, Presale Engineer in Cybersecurity at Bynet, highlights the role of AI in:

• Malware detection: AI can analyze files, spot behavioral anomalies, and identify unknown malware through pattern recognition.
• Vulnerability management: AI helps detect system weaknesses and prioritize fixes based on severity.
• IT asset visibility: AI assists in tracking and classifying devices, users, and applications — and flags unauthorized behavior.

The Risks and Limitations

Despite its promise, AI brings new risks:

• Attackers Use AI Too

Both Tali Gazit, cybersecurity and privacy expert and co-founder of Persist Security, and Lior Avraham, a cybersecurity Expert, warn that AI is a double-edged sword. Attackers use AI for:

1. Deepfake and social engineering attacks.
2. Polymorphic malware that changes shape to evade detection.
3. Tricking other AI systems and increasing the scale and sophistication of attacks.

• AI Misuse and Misjudgment

Eyal Daniel, expert in AI and cybersecurity systems, stresses that AI models are probabilistic,  they lack true understanding of business logic or organizational context. Poor implementation may lead to false positives or missed threats.

Practical Solutions: What Experts Recommend

To get the most out of AI without letting it become a blind spot. here are three expert-backed strategies:

1. Human-in-the-Loop: AI + Human Judgment

According to New-Tech Online, a leading Israeli tech publication, and a report by the Israeli Ministry of Health, AI systems should not operate without human oversight. This hybrid approach ensures decisions are guided by both data and human judgment.

2. AI + Manual Workflows

According to Qlik Israel, the local branch of Qlik, a global leader in data analytics and business intelligence solutions, AI should handle repetitive tasks like data parsing and scanning, while human teams focus on high-level decision-making. This split boosts both accuracy and efficiency.

3. MDR Services (Managed Detection & Response)

Udi Burg, IT and cybersecurity manager, suggests using external MDR services to offload alert handling and ensure 24/7 expert monitoring, especially in resource-limited organizations.

Smart but Risky? A SWOT Look at AI in Cybersecurity

This SWOT analysis combines expert insights and my personal takeaways from exploring AI’s role in cybersecurity and alert management.

So… Is AI Solving Alert Fatigue — or Just Shifting the Problem?

From everything I’ve read and analyzed, AI does seem to reduce alert fatigue, but it doesn’t eliminate it. Instead, it reshapes the challenge. Without the right design and oversight, AI risks becoming another noisy system. But when thoughtfully embedded into human-centered workflows, AI becomes a force multiplier, one that augments, not replaces human expertise.

The Future of AI Isn’t About the Tools. It’s About the Teamwork

Beyond solving alert fatigue, this led me to reflect on a deeper challenge. It is about embedding AI in ways that truly support people when it matters most. It is not just about building smarter algorithms, but about creating systems that are trustworthy, practical, and designed for real-world collaboration. As Keith Ferrazzi, leadership strategist and Harvard MBA, explains, the real power of AI lies not in the technology itself but in how teams work together around it. When AI is thoughtfully integrated into everyday workflows, it becomes a tool for better thinking, clearer decisions, and stronger teamwork. That is where the real breakthroughs begin.