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In today’s rapidly evolving threat landscape,cybersecurityis more crucial than ever.

Advanced persistent threats (APTs) and sophisticated attacker tactics are now part of the norm.

Abstract image of cyber security in action.

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Yet, detecting an attacker often takes dayssometimes even months.

This speed disparity highlights the urgent need for a more robust and intelligent approach to cyber defense.

Engineering Manager of the Adversary Research Team at AttackIQ.

These attacks leverage vulnerabilities in software and systems, often taking advantage of zero-day exploits or previously unknown weaknesses.

Unlike traditionalmalwareattacks, exploit-based attacks are much harder to identify.

Recent studies highlight that vulnerabilities, not just phishing, have become a primary attack vector.

These methods exploit vulnerabilities in existing systems and applications, often taking advantage of overlooked entry points.

The growing prevalence of zero-days and AI-powered exploit discovery further complicates the challenge for defenders.

Effective detection is essential, especially with the increasing number of malware-less attacks.

According to Accenture, less than 1% of an organizations detection rules are fully effective.

Many detection rules remain outdated, resulting in a flood of false positives and missed detection opportunities.

Detection must focus on adversary behaviors, not static indicators like malware hashes.

The shelf life for these ephemeral indicators is short.

But many organizations struggle here.

Writing, testing, and maintaining hundreds of detection rules can overwhelm even the most mature security teams.

Effective detection is not just about having the right rules in place.

It’s also about having the right processes and technologies to support those rules.

However, it’s important to remember thatsecurityis an ongoing process, not a one-time event.

This means educatingemployeesabout cybersecurity risks and best practices, and empowering them to report suspicious activity.

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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.