Zero-trust, AI-driven security infrastructure engineered for enterprise scale, sub-millisecond threat response, and seamless integration with existing security toolchains.
High-level data flow from edge ingestion through AI analysis to automated response orchestration.
Modular microservices architecture designed for horizontal scaling and fault tolerance.
Lightweight collectors deployed at network boundaries and endpoints. Handles log normalization, protocol parsing, and initial deduplication.
High-throughput event pipeline using distributed message queues. Implements windowing, correlation, and real-time enrichment with threat intel feeds.
Hybrid ML models combining supervised classification, unsupervised anomaly detection, and LLM-powered contextual analysis for zero-day identification.
SOAR integration hub that executes automated containment, triggers alerts, and manages incident lifecycle across security toolchains.
Benchmarked performance metrics across production deployments.
Connect to the CyberVault API for custom automation, threat feed ingestion, or SIEM forwarding.
import cybervault
# Initialize client with zero-trust credentials
client = cybervault.Client(
api_key="cv_live_...",
region="us-east-1",
timeout=0.05 # 50ms max latency
)
# Submit custom event stream
client.events.ingest([
{
"source": "firewall-edge-01",
"type": "network.alert",
"severity": "critical",
"payload": {"dst_ip": "192.168.1.44", "action": "blocked"}
}
])
# Trigger automated response playbook
client.soar.execute("isolate_host", host_id="hv-88a2")
Native connectors for leading security, cloud, and DevOps platforms.