Graph-First Investigations
Move beyond mostly linear workflows by reusing shared questions across branches, loop-backs, and reconverging paths.
Open Standard For Security Investigations
TENSOR Framework
Threat Evaluation & Neutralization through Structured Organizational Resilience
A vendor-neutral, graph-native investigation model for SOC teams. Use one shared decision graph for analysts, automations, and AI systems while keeping AI-assisted decisions observable and repeatable.
Composable Extensions
Extend the core graph with organization-specific logic while preserving compatibility with the base schema.
Human + Agent Collaboration
Analysts and automated routines can follow the same graph and exchange outcomes using shared identifiers.
Reliable AI Operations
Use probabilistic models for analysis, then enforce deterministic branch execution through graph semantics.
Visual Workflow
From mostly linear workflows to reusable graph logic
Traditional workflows are usually linear with occasional decisions and loop-backs. TENSOR preserves those patterns while modeling shared investigative logic as a connected graph.
