Sentinel by Nyrus

Threat intelligence for the information ecosystem.

We protect people and institutions from campaigns that move markets, elections, reputations, and public trust. Sentinel detects campaigns in motion, identifies the actors behind them, follows them across platforms and rebrands, and forecasts their next moves.

The cost of shaping belief has collapsed. The blast radius hasn't.

Cost to attack
Down ↓
Generative AI makes coordinated campaigns cheap to generate, easy to vary, and difficult to exhaust with manual review.
Damage per incident
Up ↑
A well-timed campaign can move a share price during M&A, suppress trust in an election, distort a public-health response, or force leadership into the wrong posture.
Frequency
Up ↑
State-aligned influence operations, synthetic media, superpersuasion loops, and cross-platform coordination are becoming routine operating conditions.

Build the shared memory for information threats.

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.

A field-scale corpus, an investigative analyst, and a cross-tenant actor inventory.

Three components, one product

Sentinel is built to compound: every source improves the analyst, every investigation enriches the inventory, and every inventory update makes the next case faster.

Corpus

Multi-modal ingestion across diverse modalities. Ingestion and classification are designed for operational timelines, not retrospective reporting.

Coverage

Analyst

Ask questions across the information environment and receive structured findings, source trails, and board-ready artifacts.

Surfaces

Inventory

Actor profiles, clusters, rebrand history, behavioral fingerprints, and target sets.

The moat

Who is coming, how they operate, and what to do.

Built for active risk

Sentinel turns live adversarial activity into decisions leaders, counsel, crisis teams, platforms, labs, and governments can act on.

Active event attribution

During an active event, identify the actor, attribute the campaign, map the tactics, and recommend a response posture before the story hardens.

Crisis response

Threat forecasting

Forecast likely targets, timing, tactics, and preparation steps from patterns no single customer can see alone.

Predictive layer

Adversary profiles

Deep intelligence on named adversaries: networks, tactics, target patterns, infrastructure, rebrands, history, and known operating behavior.

Dossiers

Memetic surveillance

Detect harmful memetic propagation and emergent variants by replication signature, not just content, across platforms, populations, and model feedback loops.

Population scale

Built for institutions and leaders who become targets.

Corporate
Public-company CEOs, boards, companies under coordinated attack, crisis advisors, activist defense firms, and securities counsel.
Principals
Family offices, high-profile individuals, and principals whose reputation, safety, or investments depend on early warning.
Government
Governments, election integrity bodies, public health authorities, education systems, and military information-operations units.
AI labs
Frontier labs monitoring whether model outputs propagate harmful memetic patterns across users, platforms, and future training data.
Platforms
Trust and safety teams detecting coordinated or emergent phenomena that content-moderation paradigms structurally miss.

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