Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most breaches don't announce themselves; they whisper. A subtly malformed DNS query here. A DHCP lease request that looks almost normal there. A client that suddenly requests a domain no one in your organization has ever heard of. By the time these whispers become alarms on a SIEM dashboard, attackers have often already moved laterally, exfiltrated data, or cemented persistence. In traditional DNS, DHCP, and IPAM (DDI) setups, these signals are buried under millions of legitimate transactions.

Being a security analyst can feel like being trapped in a Where’s Waldo book. You can find yourself staring at a data stream looking for something that “isn’t like the others.” However, as your organization collects and correlates more data from the environment, finding the Waldo can feel overwhelming. In a modern IT environment, organizations have hundreds or thousands of devices, users, and data points that they need to correlate so they can identify normal network activity.

Modern applications generate a constant stream of logs, some of which carry more information than they should. For too many organizations, logs include personally identifiable information (PII) such as customer names that were never meant to leave production systems. Teams try to limit this data exposure by using regular expressions to detect and obfuscate matches, only to discover that names like John O’Connor, Mary-Jane, Jane van der Meer, and A. García slip through.

Dr. Carter finishes a long shift at the hospital, exports a patient X-ray as a regular image file, and drags it into an AI assistant to double-check a diagnosis. The image included the patient’s name and ID. Across town, Jason, a travel agent, scans a stack of passports and uploads the images to an AI tool to automatically fill bookings. In a support center, Sarah snaps a quick photo of a credit card and sends it to an AI service to avoid retyping the number.

At Exabeam, we’ve built our foundation on innovation in machine learning and artificial intelligence technologies that have transformed how organizations detect and respond to threats. We take pride in the rigor of our model security: encrypted data, tightly controlled access, continuous validation, and relentless red teaming. But true security isn’t about reaching a finish line; it’s about anticipating what’s next.