We developed proprietary automation pipelines that collect and enrich data from:

• Open-source intelligence (OSINT)
• Commercial and community threat feeds
• Public malware repositories and sandbox reports>

Our enrichment engine cross-validates this information with other signals, detecting threats traditional systems often miss due to volume or context gaps.

We developed proprietary automation engine that manages a fleet of automated online avatars - high-reputation digital identities embedded in invite-only cybercriminal forums, encrypted chats, and underground marketplaces.

This access allows us to:

• Identify imminent threats, such as when a customer has already been compromised
• Track new IAB listings, targets, and monetization trends
• Intervene early, before access is sold or used for ransomware deployment

We’ve long maintained a global mesh of honeypots and digital tripwires.

These assets generate long-tail signals including:

• Real-world malware samples
• CVE exploitation trends and zero-day activity
• Botnet communication patterns

This time-tested infrastructure provides rare longitudinal insight into evolving TTPs (tactics, techniques, procedures) as well as existing and new threat actor groups.

We use two primary types of active scanning, each designed to uncover different layers of malicious infrastructure and adversary behavior across the internet.

• Strategic, Actor-Focused Scanning
Automatically maps newly registered threat actor assets by correlating behavioral patterns with known and emerging signatures.


• Full-Internet Sweeps
Powered by a proprietary high-speed scanning engine trained on adversary behavior and unique signatures. Combined with our in-house AI model, this approach rapidly uncovers malicious infrastructure even when attackers are actively trying to evade detection.

Our Watcher Network is a proprietary passive collection system embedded deep inside threat actor environments - from internal communications to tools and everything in between. This access is the result of strategic placements and access.

It enables us to:

• See internal targeting in real time
• Observe what attackers scan, exploit, and prioritize
• Detect changes in targeting intent before an attack occurs

All signal sources converge into a custom-built AI engine powered by autonomous agents that continuously ingest, analyze, and act on data across five key modalities - technical indicators, infrastructure patterns, and adversarial chatter.

These AI-driven agents operate independently to correlate cross-domain signals and take proactive steps in real time. This enables us to:

• Predict attacker behavior based on multi-source telemetry
• Attribute infrastructure to threat actors with high accuracy
• Deliver Preventive Intelligence—a dynamic view of how attackers perceive your environment and what they’re likely to do next