What Wraithwatch’s perception layer sees when it looks at a simple device object in its graph: reachability computations from network topologies, correlations to users, software, policies, configurations, and every potential action that can be taken against that specific object. Responsible deployment of AI in mission critical domains like cyber defense requires more than just exposing APIs and letting agents rip in production. Agentic tools need continuously updated mappings of their read/write action space, org-specific tolerances, go/no-go zones, and the ability to reason over unstructured knowledge about their environment. Without these underlying perception and control planes your AIs fly blind and “production safe” is a claim, not a guarantee.

You don't need Mythos to execute complex cyberattacks. In our latest research we tasked 5 LLMs with complex real world attack chains. Some of them were overwhelmingly successful at completing their missions without firing a single alert. More below: wraithwatch.com/blog/multi-a…

Cyber has an interoperability and institutional knowledge problem, we're solving it. Wraithwatch's Security Fabric API now allows an org to fuse disparate data into a dynamically updated knowledge layer that provides humans and AIs immediate attack / defense context on demand.

Apply: jobs.ashbyhq.com/wraithwatch

Defending rockets and weapons systems from advanced cyberattacks and conducting offensive cyber ops at SOCOM gave us a preview of the future. One where the volume and velocity of exploits and attacks rise at meteoric pace. We are the defense. Honored to support our USG partners.