Arctic Wolf introduces Decipio credential-theft detection tool

Arctic Wolf has launched Decipio, a community-shared defensive tool designed to help security teams detect and respond to credential theft.

Credential theft remains one of the most common methods used by attackers to gain initial access to networks. Arctic Wolf’s annual threat reports consistently identify stolen credentials as a primary entry point. Decipio is intended to address this by identifying credential-stealing activity early in the attack process, before lateral movement or further impact occurs.

Decipio focuses on earlier detection compared to traditional post-compromise approaches. It functions as an early warning mechanism by identifying attempts to capture credentials through common Windows network techniques, including LLMNR and NBT-NS abuse. The tool generates a binary signal, requires minimal tuning, and is designed to provide clear indicators to support investigation.

Arctic Wolf plans to introduce Decipio publicly at the SANS AI Summit. The tool is being released as a limited, gated community beta, with access restricted to verified practitioners.

Fully open-sourcing defensive tools can introduce risks, including potential reuse by attackers. A controlled access model allows distribution to vetted users while limiting broader exposure.

As attackers increasingly automate aspects of their operations, early detection of credential theft remains an area of focus for defenders. Tools such as Decipio are intended to support earlier visibility into this activity.