Data Collection
Telemetry agents, network sensors, and API integrations. All ingested data treated as untrusted until normalized and validated. No payload executed at the collection boundary.
We prefer simple, correct code. Code that works. Code that does not generate an incident at two in the morning. Our platform architecture reflects that: sound patterns, validated research, and engineering discipline applied consistently across every product we ship.
Telemetry agents, network sensors, and API integrations. All ingested data treated as untrusted until normalized and validated. No payload executed at the collection boundary.
Machine learning inference engines and graph neural network models process normalized telemetry at production scale. Correlation logic links related signals across time windows and data domains to construct high-fidelity state models.
Automated response operates through predefined playbooks with clearly defined autonomy boundaries. Human approval gates for actions above configured thresholds.
All system actions written to an immutable blockchain-backed ledger. Compliance reporting, change tracking, and audit queries operate as first-class platform functions.
Core detection, response orchestration, and immutable audit. SOC 2 and ISO 27001 alignment. Active development.
Cross-environment telemetry federation. Extended behavioral profiling. Advanced adversarial deception grid.
FedRAMP alignment for federal deployment. Expanded compliance coverage for regulated industries in financial services and critical infrastructure.
Expanded correlation spanning security, infrastructure, and supply chain signals. Shared intelligence layer across products so findings in one domain inform decisions in another.