Adjusting for the AI-Driven Attack Landscape
AI has changed the math for attackers. Infrastructure spins up, gets used, and disappears faster than IOC feeds can track. Waiting for your EDR to fire means you’re reacting to an attack that’s already hit.
This eBook details how detection engineering must shift left—and how Censys Internet intelligence gives your team the ground truth to write detections you can actually trust.
What you’ll find in the eBook:
Key themes from this guide include:
- Why vendor detections can’t be your only detections: Security products are built to scale across thousands of environments—not yours specifically. Learn why the other half of detection engineering belongs to you.
- Your data problem: Noisy, stale, or aggregated data produces alerts you can’t trust. We break down what a reliable data foundation requires—and why it can’t be all internal telemetry.
- How Internet intelligence changes the equation: Learn how Censys turns a single IOC into a full infrastructure profile—pivoting from one observable to related hosts, services, certificates, and behavioral patterns.
- Moving up the Pyramid of Pain: Shared certs, repeated fingerprints, and uncommon protocol combinations outlast disposable IPs. See how to write detections around attacker tradecraft, not just the addresses they use today.
- Real-world examples: Walk through writing a phishing detection with a real example from Censys ARC research, and learn how it translates into Censys queries, Collections, SIEM rules, SOAR enrichment, and TIP watchlists.
Get your copy of Detection Engineering in the Modern SOC to learn how to move left of your EDR—and write detections that stay ahead of AI-driven threats.