Why CISOs Should Fight Phishing Like a Campaign, Not a Single Email

Jan de Vries · 2026-07-30

If you're a CISO, you already know the feeling. Your inbox is a battlefield, and every day brings a fresh wave of suspicious messages. But here's the thing: most security teams are still treating each email like an isolated incident. That's exhausting, and it's not working. Cofense recently made a strong case for shifting your mindset from individual indicators of compromise (IOCs) to something bigger: campaign-based phishing detection. The idea is simple but powerful. Instead of chasing one email at a time, you look at the whole attack pattern. Think of it as seeing the forest, not just the trees. ### The Real Cost of IOC Fatigue When you focus only on IOCs, you're constantly reacting. Each alert demands attention, and most of them are false positives. Over time, your analysts get tired. They start missing the subtle clues that matter. That's IOC fatigue, and it's dangerous. A tired analyst is a slow analyst. And in the world of phishing, speed is everything. The longer it takes to spot a real threat, the more damage it can do. You might be looking at data breaches that cost millions, lost customer trust, and regulatory fines that can reach hundreds of thousands of dollars. ### What Campaign-Based Detection Actually Looks Like Instead of asking "Is this email bad?" you ask "Is this part of a larger attack?" You're looking for patterns across multiple messages, senders, and even time periods. Here's how that changes your workflow: - You group similar phishing attempts together, which means you're not analyzing each one from scratch. - You can identify the infrastructure behind the attack, like the same command-and-control server or a shared email template. - You get a clearer picture of the attacker's goals, whether it's credential theft, ransomware, or something else. This approach doesn't just save time. It gives you context, and context is what turns raw data into actionable intelligence. ### Faster Response, Better Visibility When you think in campaigns, you can respond in bulk. Block one domain, and you might stop twenty emails that were all part of the same attack. That's a huge win for your team's bandwidth. It also means you're not playing whack-a-mole with every single message. Visibility improves too. You start to see the full scope of the threat landscape. Maybe you notice that phishing attempts spike every Tuesday, or that they often follow a major product launch. Those patterns are invisible when you're just looking at one email at a time. ### Reducing Analyst Fatigue for Good Here's the part that should excite you: less fatigue means better retention. Security analysts are hard to hire and even harder to keep. If you can cut down on the noise and let them focus on real threats, they'll last longer and perform better. Think about it this way. A firefighter doesn't respond to every smoke detector beep. They respond to actual fires. Campaign-based detection is like giving your team a better smoke detector that can tell the difference between burnt toast and a real blaze. ### A Practical Shift for Your Team Making the switch isn't about buying new tools overnight. It's about changing how you think. Start by reviewing your last few months of phishing alerts. Are there patterns you missed? Can you group any of them together? The answers might surprise you. You don't have to abandon IOC-based detection entirely. It still has a place, especially for quick triage. But the goal is to elevate your thinking. Look at the bigger picture, and you'll find that your team can do more with less effort. ### The Bottom Line Phishing is not going away. If anything, it's getting more sophisticated. But you don't have to fight it one email at a time. By thinking in campaigns, you can improve your visibility, speed up your response, and give your analysts the breathing room they desperately need. The next time you see a suspicious email, don't just ask "Is this bad?" Ask "What else is out there?" That single question could change everything.