
Cyber threat intelligence has spent two decades building shared memory. When a security team sees new malware, it can often be fingerprinted, attributed, and tied to an actor with a known history. Information threats still force teams to start from zero: rediscovering the same operators, rebuilding the same timelines, and losing the work when the crisis ends.
Sentinel is the missing instrument: a live corpus of the information ecosystem, an analyst trained for investigative work, and an actor inventory that compounds across every engagement. It turns coordinated campaigns from isolated crises into adversaries that can be tracked, attributed, and anticipated.

Sentinel is built to compound: every source improves the analyst, every investigation enriches the inventory, and every inventory update makes the next case faster.
Multi-modal ingestion across diverse modalities. Ingestion and classification are designed for operational timelines, not retrospective reporting.
Ask questions across the information environment and receive structured findings, source trails, and board-ready artifacts.
Actor profiles, clusters, rebrand history, behavioral fingerprints, and target sets.

Sentinel turns live adversarial activity into decisions leaders, counsel, crisis teams, platforms, labs, and governments can act on.
During an active event, identify the actor, attribute the campaign, map the tactics, and recommend a response posture before the story hardens.
Forecast likely targets, timing, tactics, and preparation steps from patterns no single customer can see alone.
Deep intelligence on named adversaries: networks, tactics, target patterns, infrastructure, rebrands, history, and known operating behavior.
Detect harmful memetic propagation and emergent variants by replication signature, not just content, across platforms, populations, and model feedback loops.