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Triage to Threat Hunting: How AI Is Reshaping the Analyst's Role

Written by Eric Irizarry | Oct 1, 2025 10:00:02 AM

Cybersecurity Awareness Month is the perfect time to spotlight one of the most pressing conversations in our field: the role of artificial intelligence (AI) in security operations.

Think of AI as a trusted partner to cybersecurity analysts—it crunches the data, so they can apply their expertise where it counts most. The right AI tools deliver speed and precision while leaving strategy, interpretation, and judgment firmly in human hands.

From Reactive Defense to Proactive Security

Before the rise of artificial intelligence in cybersecurity, security analysts relied heavily on advanced analytics and manual pattern recognition to detect threats. These methods, though effective in many cases, were often extremely time-consuming and labor-intensive. Analysts would sift through logs, correlate events across systems, and build out patterns by hand to identify potential threats. Unfortunately, this reactive approach sometimes allowed insider threats and advanced persistent threats (APTs) to go unnoticed until significant damage had already occurred. It was a game of catch-up, where the damage was often discovered only after the fact—highlighting the need for smarter, faster detection tools.

In today’s fast-paced cybersecurity landscape, artificial intelligence has become a clear game-changer. But let’s see through the hype: AI is here as a powerful ally to security analysts, adding capacity and fidelity, not replacing them. In practice, achieving results requires coordination between human expertise and AI-driven efficiency.

Faster Threat Detection, Smarter Decisions

One of the biggest advantages of AI in cybersecurity is its ability to drastically reduce detection times. It can sift through millions of data points, prioritize suspicious activity, and push the most urgent leads to the top of an analyst’s queue. But the final call still rests with the human expert.

  • AI handles the heavy lifting: filtering logs, clustering alerts, and prioritizing suspicious activity.
  • Humans deliver the judgment: interpreting results, validating risks, and making strategic decisions that machines can’t.

This is where the partnership between AI and analysts shines. AI handles scale and speed; people bring insight, critical thinking, and awareness of organizational risk. Together, they ensure fast, informed, and sound decisions. AI accelerates the process, but human judgment ensures the right decisions are made.

AI as a Force Multiplier for Security Teams

AI should be viewed as a force multiplier for security teams. While it can dramatically accelerate threat detection and response, it should never be seen as a reason to scale back skilled analyst staff. Instead, AI empowers analysts to operate more effectively and confidently, handling repetitive tasks and pattern recognition so that human expertise can be focused on higher-value, strategic decisions. The result is a stronger, more collaborative defense posture where technology and human judgment work hand in hand.

Take OpenText Behavioral Signals, for example, shown in the image below. By leveraging AI to detect behavioral anomalies in real time, it helps uncover threats that might otherwise go unnoticed, reduces false positives, and cuts investigation time dramatically. Analysts still validate whether an alert is a genuine threat, but they’re working with sharper, more relevant insights. 

Machine-generated threat leads for analysts to hunt and investigate.

The result?

  • Reduced alert fatigue with less noise.
  • Sharper insights into real threats that demand attention.
  • Empowered analysts who can focus their expertise where it matters most.

It’s about teamwork between the security analyst and AI-driven efficiency. AI handles repetitive, data-heavy work. Analysts bring the expertise, strategy, and decision-making that ultimately keep agencies secure.

Equipping Cybersecurity Analysts for Success

Ultimately, AI doesn’t replace the human element—it enhances it. But to succeed, organizations must equip their analysts with the right tools and training. When empowered with effective AI-driven solutions, analysts can focus on the threats that matter most rather than drowning in alerts or chasing false positives.

By doing so, organizations can measurably strengthen their overall security posture and foster a culture where human expertise and AI work hand-in-hand to deliver expedient and desired outcomes. 

A Note to CISOs: See the Forest Through the Trees

After decades in cybersecurity, I’ve seen countless organizations chase the elusive “magic bullet” solution. But here’s the reality—you already have the most effective defense on your team. They’re called security analysts.

The need is often simple: to be trained, nurtured, fairly compensated, and provided with meaningful, fulfilling work. That’s only possible when they are empowered with the right tools to remove the noise, enhance visibility, and allow them to focus on the things that matter.

AI is not the silver bullet. It’s the key that allows your people to do impactful, mission-critical work. And that’s where true resilience is built. 

Key Takeaway for Cybersecurity Awareness Month

This October let’s move past the hype. AI isn’t about man versus machine—it’s about man and machine working side-by-side. Together, they create faster, smarter, and stronger defenses that keep agencies resilient in the face of today’s cyber challenges.

 

 

Reference:

OpenText Core Behavioral Signals