Overview
The core loop
CipherCue runs a focused pipeline: ingest signals, resolve entities, enrich context, prioritise urgency, then notify your team while response windows are still open.
Signal to Revenue Workflow
Signal coverage
Where signals come from
CipherCue monitors multiple classes of public records and advisories. We show coverage by signal type and field depth without exposing provider-level implementation details.
Coverage Matrix
| Coverage lane | Entity data | Incident data | Timing signal | Jurisdiction context |
|---|---|---|---|---|
| Regulatory disclosures | Legal name, aliases, region | Event type, scale, status | Filing and report dates | Authority and framework mapping |
| Market filings | Issuer and group entities | Material incident statements | Disclosure and amendment cadence | Public market obligations |
| Threat advisories | Vendor and product fingerprints | Exploitation and campaign linkage | Publish and remediation windows | Regional exposure mapping |
| Jurisdiction registries | Parent and subsidiary relationships | Linked incident visibility | Registration and filing chronology | Country-specific entity rules |
| Commercial enrichment | Contacts and function mapping | Response ownership signals | Freshness and confidence scoring | Territory and market alignment |
Regulatory disclosures
Mandatory filings and enforcement records with high evidentiary value for outbound prioritisation.
Market filings
Material public company incident disclosures that indicate board-level urgency and budget movement.
Threat advisories
Signals that surface active exploitation and narrow response windows for affected sectors.
Jurisdiction registries
Legal entity context that reduces obfuscation across parents, subsidiaries, and local naming variance.
Commercial enrichment
Contact and firmographic layers used to route signals to likely decision makers without exposing vendor mechanics.
Coverage and scoring logic are auditable and jurisdiction-aware. Source providers and connector internals are intentionally abstracted on public pages.
Tracked accounts
Adding the companies you care about
Accounts are the entities your team is actively pursuing. The better the account profile, the higher the signal match quality.
Account Input Model
Why domains and aliases matter
Disclosures often reference a parent, subsidiary, or alternate trading name. Domain and alias coverage materially improves match confidence for those cases.
Signals and triage
Reviewing and working leads
Signals enter as New and move through a lightweight queue so teams can triage, route, and act quickly.
Anonymised Signal Examples
Filtering and export
Queue filtering supports source class, severity, status, geography, and match state. Exports follow the exact active filter set.
Matching
How signals connect to your accounts
Each incoming signal runs through a deterministic resolution ladder. The first confident hit is linked and scored for downstream routing.
Resolution Ladder
Entity enrichment
Resolved entities are enriched into a compact knowledge graph so teams can see incidents, relationships, sector context, and contact routes in one place.
Entity Graph Layers
Alerts and notifications
Never miss a matched signal
Notification policies are configurable per organisation and designed to balance speed with signal quality.
Notification Matrix
| Channel | Trigger | Payload | Typical use |
|---|---|---|---|
| Instant alert | High-confidence matched signal | Entity, severity, why-now summary, evidence link | Rapid SDR or AE follow-up |
| Digest | Daily scheduled summary | New matches, key unmatched, trend deltas | Morning planning and routing |
| In-app queue | Continuous ingestion | Full triage controls and history | Ops review and audit readiness |
Ready to see it in action?
Request a demo and we will walk you through the platform using your target accounts.
Request demo