Defense and Intelligence
Threats, entities, and a picture you can brief. The model stays inside your perimeter.
Overview
Defense and intelligence organizations operate in a multi-source, high-velocity information environment. Traditional analytics depend on analysts knowing what to ask and when. Inputless Analytics inverts that: the system continuously ingests available data - signals, open source, and operational feeds - and builds a cognitive graph of entities, relationships, and patterns. Threats and opportunities surface as the system reasons; they are not dependent on manual query cycles.
Install stays on your network. Classification rules stay yours. A finding without a subgraph does not go in a briefing.
From strategic analysis to tactical support, the same continuous cognitive layer can identify emerging actors and campaigns, map relationships between people and organizations, flag anomalies and early warnings, and correlate across domains for coherent situational awareness.
How Inputless Analytics applies
Inputless Analytics connects to your approved data sources and stays within your security boundary. Ingestion is continuous; the layer keeps a graph of entities, events, and relationships. It does not wait for a tasking. It detects patterns - new actors, changing TTPs, unusual movements or communications - and surfaces them with evidence. Analysts drill into the subgraph to check the picture.
Multi-domain fusion is inherent: the same graph can incorporate SIGINT, OSINT, HUMINT, and operational data. Correlation happens as data flows in. Traceability is preserved at every step, so findings can be briefed and challenged with clear lineage from raw data to conclusion.
What Inputless Analytics can do
Threat and pattern recognition
Identify emerging actors, campaigns, and TTPs from observed behavior. Surface indicators with supporting evidence and subgraphs for analyst review.
Entity and relationship mapping
Keep a graph of people, organizations, events, and connections. Network analysis with updates as records arrive.
Anomaly and early warning
Flag deviations from baseline and recommend further investigation. Support watchlists and alerting with configurable thresholds and rules.
Multi-domain fusion
Correlate data across domains for coherent situational awareness. Support all-source analysis with a single cognitive substrate.
Traceability and audit
Every insight traces to underlying evidence and subgraphs. Support briefing, legal review, and audit with full lineage and reproducibility.
Use cases
- Detect and track emerging threats and campaigns with continuous pattern recognition and entity mapping.
- Support strategic and tactical decision-making with fused, traceable situational awareness.
- Improve analyst productivity by surfacing relevant findings without dependency on manual search.
- Meet audit and legal requirements with reproducible, evidence-backed intelligence products.
Defence already has feeds. Inputless Analytics is the layer that raises a pattern with evidence, so analysts spend time on judgment instead of inventing the search.
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